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163 produkter

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163 produkter

Generative Adversarial Networks for Image-to-Image Translation
AvArun Solanki,Anand Nayyarm. fl.
Häftad, Engelska, 2021
1 709 kr
Skickas inom 10-15 vardagar
Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images. Introduces the concept of Generative Adversarial Networks (GAN), including the basics of Generative Modelling, Deep Learning, Autoencoders, and advanced topics in GAN Demonstrates GANs for a wide variety of applications, including image generation, Big Data and data analytics, cloud computing, digital transformation, E-Commerce, and Artistic Neural Networks Includes a wide variety of biomedical and scientific applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing, and disease diagnosis Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable GANs for their applications
Generative Adversarial Networks for Image-to-Image Translation
AvMohd Naved,Anand Nayyarm. fl.
E-bok
Engelska, 2021
2 395 kr
Läs direkt efter köp
Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images.- Introduces the concept of Generative Adversarial Networks (GAN), including the basics of Generative Modelling, Deep Learning, Autoencoders, and advanced topics in GAN- Demonstrates GANs for a wide variety of applications, including image generation, Big Data and data analytics, cloud computing, digital transformation, E-Commerce, and Artistic Neural Networks- Includes a wide variety of biomedical and scientific applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing, and disease diagnosis- Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable GANs for their applications
Comprehensive Guide to Heterogeneous Networks
AvKiran Ahuja,Anand Nayyarm. fl.
Häftad, Engelska, 2022
1 203 kr
Skickas inom 10-15 vardagar
Comprehensive Guide to Heterogeneous Networks discusses the fundamental motivations behind this cutting-edge development, along with a brief discussion on the diverse definitions of HNs. The future of heterogeneous wireless networks (HWNs) is covered, including test cases, cost configuration, economic benefits and basic challenges. Other sections cover the topology management method in context of heterogeneous sensor nodes with diverse communication and sensing range. In addition, an outline of the pros and cons of the clustering criteria in HWSNs and taxonomy are summarized and provide futuristic research directions. Final sections discuss the future evolution of HNs and their implementations in diverse applications.

This is an essential reference book for advanced students on courses in wireless communications, clinical engineering and networking. It will also be of interest to researchers, network planners, technical mangers and other professionals in these fields.
Discusses the most important problems, challenges and issues which arise when designing real-time heterogeneous networks for diverse scenarios Represents the unique features of heterogeneous sensor networks, giving the end-user a better understanding of the environment Provides an overview of real-time performance issues in heterogeneous networks, specifically multi-tasking, multi-level scheduling, localization and security issues Includes applications of heterogeneous networks in diverse fields and focuses on the convergence of heterogeneous wireless networks for 5G
Comprehensive Guide to Heterogeneous Networks
AvKavita Sharma,Anand Nayyarm. fl.
E-bok
Engelska, 2022
1 721 kr
Läs direkt efter köp
Comprehensive Guide to Heterogeneous Networks discusses the fundamental motivations behind this cutting-edge development, along with a brief discussion on the diverse definitions of HNs. The future of heterogeneous wireless networks (HWNs) is covered, including test cases, cost configuration, economic benefits and basic challenges. Other sections cover the topology management method in context of heterogeneous sensor nodes with diverse communication and sensing range. In addition, an outline of the pros and cons of the clustering criteria in HWSNs and taxonomy are summarized and provide futuristic research directions. Final sections discuss the future evolution of HNs and their implementations in diverse applications.This is an essential reference book for advanced students on courses in wireless communications, clinical engineering and networking. It will also be of interest to researchers, network planners, technical mangers and other professionals in these fields.- Discusses the most important problems, challenges and issues which arise when designing real-time heterogeneous networks for diverse scenarios- Represents the unique features of heterogeneous sensor networks, giving the end-user a better understanding of the environment- Provides an overview of real-time performance issues in heterogeneous networks, specifically multi-tasking, multi-level scheduling, localization and security issues- Includes applications of heterogeneous networks in diverse fields and focuses on the convergence of heterogeneous wireless networks for 5G
XAI Based Intelligent Systems for Society 5.0
AvFadi Al-Turjman,Anand Nayyarm. fl.
Häftad, Engelska, 2023
1 440 kr
Skickas inom 10-15 vardagar
XAI Based Intelligent Systems for Society 5.0 focuses on the development and analysis of Explainable Artificial Intelligence (XAI)-based models and intelligent systems that can be utilized for Society 5.0-characterized by a knowledge intensive, data driven, and non-monetary society. The book delves into the issues of transparency, explainability, data fusion, and interpretability, which are significant for the development of a super smart society and are addressed through XAI-based models and techniques. XAI-based deep learning models, fuzzy and hybrid intelligent systems, expert systems, and intrinsic explainable models in the context of Society 5.0 are presented in detail.The book also addresses-using XAI-based intelligent techniques-the privacy issues intrinsic in storing huge amounts of data or information in virtual space. The concept of Responsible AI, which is at the core of the future direction of XAI for Society 5.0, is also explored in this book. Finally, the application areas of XAI, including relevant case studies, are presented in the concluding chapter. This book serves as a valuable resource for graduate/post graduate students, academicians, analysts, computer scientists, engineers, researchers, professionals, and other personnel working in the area of artificial intelligence, machine learning, and intelligent systems, who are interested in creating a people-centric smart society.Defines the basic terminology and concepts surrounding explainability and related topics to bring coherence to the fieldFocuses on what techniques are available to improve explainability and how explainability can progress societyOffers a broad range of topics, addressing multiple facets of XAI within the context of Society 5.0
XAI Based Intelligent Systems for Society 5.0
AvMuhammad Bilal,Anuj K. Singhm. fl.
E-bok
Engelska, 2023
2 063 kr
Läs direkt efter köp
XAI Based Intelligent Systems for Society 5.0 focuses on the development and analysis of Explainable Artificial Intelligence (XAI)-based models and intelligent systems that can be utilized for Society 5.0—characterized by a knowledge intensive, data driven, and non-monetary society. The book delves into the issues of transparency, explainability, data fusion, and interpretability, which are significant for the development of a super smart society and are addressed through XAI-based models and techniques. XAI-based deep learning models, fuzzy and hybrid intelligent systems, expert systems, and intrinsic explainable models in the context of Society 5.0 are presented in detail.The book also addresses—using XAI-based intelligent techniques—the privacy issues intrinsic in storing huge amounts of data or information in virtual space. The concept of Responsible AI, which is at the core of the future direction of XAI for Society 5.0, is also explored in this book. Finally, the application areas of XAI, including relevant case studies, are presented in the concluding chapter. This book serves as a valuable resource for graduate/post graduate students, academicians, analysts, computer scientists, engineers, researchers, professionals, and other personnel working in the area of artificial intelligence, machine learning, and intelligent systems, who are interested in creating a people-centric smart society.- Defines the basic terminology and concepts surrounding explainability and related topics to bring coherence to the field- Focuses on what techniques are available to improve explainability and how explainability can progress society- Offers a broad range of topics, addressing multiple facets of XAI within the context of Society 5.0
Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development
AvSandeep Kumar,Anand Nayyarm. fl.
Inbunden, Engelska, 2019
1 532 kr
Skickas inom 10-15 vardagar
Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery.The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.
Machine Learning in Signal Processing
Applications, Challenges, and the Road Ahead
AvSudeep Tanwar,Anand Nayyarm. fl.
Inbunden, Engelska, 2021
2 455 kr
Skickas inom 10-15 vardagar
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML.The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.
Machine Learning in Signal Processing
Applications, Challenges, and the Road Ahead
AvSudeep Tanwar,Anand Nayyarm. fl.
Häftad, Engelska, 2024
719 kr
Skickas inom 10-15 vardagar
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML.The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.
Advances in Swarm Intelligence for Optimizing Problems in Computer Science
AvNhu Gia Nguyen,Dac-Nhuong Lem. fl.
E-bok
Engelska, 2018
3 064 kr
Läs direkt efter köp
This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.
Advances in Swarm Intelligence for Optimizing Problems in Computer Science
AvNhu Gia Nguyen,Dac-Nhuong Lem. fl.
E-bok
PDF, Engelska, 2018
3 088 kr
Läs direkt efter köp
This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.
Digital Twins for Smart Cities and Villages
AvSailesh Iyer,Anand Nayyarm. fl.
Häftad, Engelska, 2024
1 278 kr
Skickas inom 10-15 vardagar
Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts.Uniquely focuses on applications for smart cities and villages, including smart services for health, education, mobility, and agricultureProvides use cases and practical deployment of research involved in the emerging uses of digital twinsDiscusses all pertinent issues, challenges, and possible solutions instrumental in implementing digital twins smart solutions in this contextEdited and authored by a global team of experts in their given fields
Digital Twins for Smart Cities and Villages
AvMohd Naved,Anand Paulm. fl.
E-bok
Engelska, 2024
1 610 kr
Läs direkt efter köp
Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts.- Uniquely focuses on applications for smart cities and villages, including smart services for health, education, mobility, and agriculture- Provides use cases and practical deployment of research involved in the emerging uses of digital twins- Discusses all pertinent issues, challenges, and possible solutions instrumental in implementing digital twins smart solutions in this context- Edited and authored by a global team of experts in their given fields
AI Challenges for a Sustainable Future
AvKuldeep Kaswan,Jagjit Singh Dhatterwalm. fl.
Häftad, Engelska, 2027
2 050 kr
Kommande
Artificial Intelligence (AI) has emerged as a fundamental transformative force which can create revolutionary solutions to protect the environment while encouraging economic development and improving social progress. AI also brings potential threats for the planet and for future generations. AI Challenges for a Sustainable Future analyzes the role of AI in promoting sustainability while also addressing the significant challenges it introduces which threaten long-term ecological and social equilibrium. It examines the impact of AI biases, along with energy use optimization challenges and social economic problems that result from AI applications. The book presents analysis of natural resource governance and sustainable computing development, and offers solutions to aid in the achievement of worldwide Sustainable Development Goals (SDGs), and questions how we can control AI technology before it undermines future developments. Each chapter explores a key issue, highlights obstacles, and suggests technological, ethical, and policy-oriented strategies to lessen AI's adverse effects while enhancing its advantages for a sustainable future. The book advocates for energy-efficient AI algorithms, green computing, and the development of sustainable hardware. It also recommends decentralized AI models to decrease dependence on energy-intensive cloud computing. Additionally, it discusses policy frameworks aimed at fostering responsible AI development and achieving carbon-neutral AI systems.examines AI's challenges in sustainability, addressing key topics such as climate change, sustainable agriculture, resource management, and urbanization, to allow a 360-degree view of AI's impact on global sustainability challengesexplores critical ethical considerations surrounding AI, such as fairness, bias, and their potential effects on the job market and socioeconomic inequalities, highlighting the responsibility of AI in fostering social sustainability alongside environmental goalsoffers real-world applications and case studies to provide practical insights for policymakers, entrepreneurs, and technology leaders on how to harness AI for positive social and environmental change, while also addressing its inherent challengesadopts an interdisciplinary approach, bridging the gap between AI challenges, environmental science, economics, and social justice
Mastering Prompt Engineering
Deep Insights for Optimizing Large Language Models (LLMs)
AvAnand Nayyar,Ajantha Devi Vairamanim. fl.
Häftad, Engelska, 2025
1 875 kr
Skickas inom 10-15 vardagar
Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach.Addresses ethical concerns and provides strategies for mitigating bias and ensuring responsible AI practicesCovers foundational concepts, advanced techniques, and the broader landscape of LLMs, equipping readers with a well-rounded understandingServes as a gateway to a deeper understanding of LLMs and their responsible and effective utilization
Mastering Prompt Engineering
Deep Insights for Optimizing Large Language Models (LLMs)
AvKuldeep Kaswan,Ajantha Devi Vairamanim. fl.
E-bok
Engelska, 2025
2 397 kr
Läs direkt efter köp
Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach.- Addresses ethical concerns and provides strategies for mitigating bias and ensuring responsible AI practices- Covers foundational concepts, advanced techniques, and the broader landscape of LLMs, equipping readers with a well-rounded understanding- Serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization
Nyhet
Quantum Computing and Instrumentation for Smart Agriculture
AvShubham Mahajan,Anand Nayyarm. fl.
Häftad, Engelska, 2026
2 063 kr
Skickas inom 10-15 vardagar
Quantum Computing and Instrumentation for Smart Agriculture provides a detailed overview of quantum technologies and their applications in agriculture, exploring its transformative potential in improving agricultural practices Organized in five parts, the first section of the book introduces quantum technologies, their historical context, and the need for innovation in agriculture. The following sections discuss specific applications, including quantum computing for data analysis, quantum and nano-enabled sensors for precision farming, and quantum imaging for crop monitoring. In addition to addressing technological advancements, the book highlights sustainable practices and the future of quantum agriculture. This book is a valuable resource for researchers, scientists, and professionals interested in the integration of quantum and nanoscience with agricultural innovation, offering insights into innovative solutions that improve productivity while minimizing environmental impact.Reviews the fundamentals of quantum agriculture and discusses the emerging challenges and opportunities in the fieldCovers quantum innovations and state-of-the-art tools and techniques for improving crop yield and sustainabilityFeatures case studies and real-world examples on the successful implementations of quantum technologies in agriculture
Nyhet
Quantum Computing and Instrumentation for Smart Agriculture
AvMohd Naved,Anand Nayyarm. fl.
E-bok
Engelska, 2026
2 604 kr
Läs direkt efter köp
Quantum Computing and Instrumentation for Smart Agriculture provides a detailed overview of quantum technologies and their applications in agriculture, exploring its transformative potential in improving agricultural practices Organized in five parts, the first section of the book introduces quantum technologies, their historical context, and the need for innovation in agriculture. The following sections discuss specific applications, including quantum computing for data analysis, quantum and nano-enabled sensors for precision farming, and quantum imaging for crop monitoring. In addition to addressing technological advancements, the book highlights sustainable practices and the future of quantum agriculture. This book is a valuable resource for researchers, scientists, and professionals interested in the integration of quantum and nanoscience with agricultural innovation, offering insights into innovative solutions that improve productivity while minimizing environmental impact. - Reviews the fundamentals of quantum agriculture and discusses the emerging challenges and opportunities in the field- Covers quantum innovations and state-of-the-art tools and techniques for improving crop yield and sustainability- Features case studies and real-world examples on the successful implementations of quantum technologies in agriculture
AI and Computational Intelligence for Environmental Sustainability
AvRakesh Kumar,Meenu Guptam. fl.
Häftad, Engelska, 2026
1 991 kr
Skickas inom 10-15 vardagar
Climate change, biodiversity loss, resource depletion, and pollution are intensifying. Addressing these global issues requires fresh perspectives and cutting-edge solutions that integrate AI with environmental sustainability. AI and computational intelligence technologies are evolving at an unprecedented pace, offering new tools and methodologies for tackling environmental challenges. Yet existing resources often fail to capture the latest breakthroughs and interdisciplinary approaches needed to harness these innovations effectively.AI and Computational Intelligence for Environmental Sustainability showcases the potential of artificial intelligence and computational intelligence in tackling critical environmental challenges. As the urgency to combat climate change, optimize resource utilization, and promote sustainable practices grows, this book provides a comprehensive resource that bridges the gap between AI research and its practical applications in environmental sustainability, and offers insights into the latest developments and methodologies. It highlights real-world applications and case studies to inspire researchers, developers, and policymakers to create and implement AI-driven solutions for a more sustainable future, foster collaboration by bringing together experts from diverse fields to share knowledge and foster interdisciplinary collaboration in the pursuit of environmental sustainability. It also addresses the ethical and practical challenges of applying AI in sustainability, advocating for responsible AI development and low-energy computing practices.Explores AI applications across diverse environmental domains, offering a 360-degree view of the fieldProvides actionable methodologies, frameworks, and tools for deploying AI solutionsShowcases successful implementations, bridging theory and practiceHighlights emerging trends and future directions to inspire innovation
AI and Computational Intelligence for Environmental Sustainability
AvAnand Nayyar,Meenu Guptam. fl.
E-bok
Engelska, 2026
2 888 kr
Läs direkt efter köp
Climate change, biodiversity loss, resource depletion, and pollution are intensifying. Addressing these global issues requires fresh perspectives and cutting-edge solutions that integrate AI with environmental sustainability. AI and computational intelligence technologies are evolving at an unprecedented pace, offering new tools and methodologies for tackling environmental challenges. Yet existing resources often fail to capture the latest breakthroughs and interdisciplinary approaches needed to harness these innovations effectively.AI and Computational Intelligence for Environmental Sustainability showcases the potential of artificial intelligence and computational intelligence in tackling critical environmental challenges. As the urgency to combat climate change, optimize resource utilization, and promote sustainable practices grows, this book provides a comprehensive resource that bridges the gap between AI research and its practical applications in environmental sustainability, and offers insights into the latest developments and methodologies. It highlights real-world applications and case studies to inspire researchers, developers, and policymakers to create and implement AI-driven solutions for a more sustainable future, foster collaboration by bringing together experts from diverse fields to share knowledge and foster interdisciplinary collaboration in the pursuit of environmental sustainability. It also addresses the ethical and practical challenges of applying AI in sustainability, advocating for responsible AI development and low-energy computing practices. - Explores AI applications across diverse environmental domains, offering a 360-degree view of the field- Provides actionable methodologies, frameworks, and tools for deploying AI solutions- Showcases successful implementations, bridging theory and practice- Highlights emerging trends and future directions to inspire innovation
Machine Learning in Signal Processing
Applications, Challenges, and the Road Ahead
AvRudra Rameshwar,Anand Nayyarm. fl.
E-bok
PDF, Engelska, 2021
864 kr
Läs direkt efter köp
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML).
ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML.
The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML.
FEATURES

Focuses on addressing the missing connection between signal processing and ML

Provides a one-stop guide reference for readers

Oriented toward material and flow with regards to general introduction and technical aspects

Comprehensively elaborates on the material with examples and diagrams
This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.
Machine Learning in Signal Processing
Applications, Challenges, and the Road Ahead
AvRudra Rameshwar,Anand Nayyarm. fl.
E-bok
Engelska, 2021
847 kr
Läs direkt efter köp
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML).
ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML.
The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML.
FEATURES

Focuses on addressing the missing connection between signal processing and ML

Provides a one-stop guide reference for readers

Oriented toward material and flow with regards to general introduction and technical aspects

Comprehensively elaborates on the material with examples and diagrams
This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.
Green Internet of Things
AvAnand Nayyar,Bandana Mahapatra
E-bok
PDF, Engelska, 2022
370 kr
Läs direkt efter köp
Green Internet of Things (IoT) envisions the concept of reducing the energy consumption of IoT devices and making the environment safe. Considering this factor, this book focuses on both the theoretical and implementation aspects in green computing, next-generation networks or networks that can be utilized in providing green systems through IoT-enabling technologies, that is, the technology behind its architecture and building components. It also encompasses design concepts and related advanced computing in detail.
â€¢ Highlights the elements and communication technologies in Green IoT
â€¢ Discusses technologies, architecture and components surrounding Green IoT
â€¢ Describes advanced computing technologies in terms of smart world, data centres and other related hardware for Green IoT
â€¢ Elaborates energy-efficient Green IoT Design for real-time implementations
â€¢ Covers pertinent applications in building smart cities, healthcare devices, efficient energy harvesting and so forth
This short-form book is aimed at students, researchers in IoT, clean technologies, computer science and engineering cum Industry R&D researchers.
Green Internet of Things
AvAnand Nayyar,Bandana Mahapatra
E-bok
Engelska, 2022
373 kr
Läs direkt efter köp
Green Internet of Things (IoT) envisions the concept of reducing the energy consumption of IoT devices and making the environment safe. Considering this factor, this book focuses on both the theoretical and implementation aspects in green computing, next-generation networks or networks that can be utilized in providing green systems through IoT-enabling technologies, that is, the technology behind its architecture and building components. It also encompasses design concepts and related advanced computing in detail.
â€¢ Highlights the elements and communication technologies in Green IoT
â€¢ Discusses technologies, architecture and components surrounding Green IoT
â€¢ Describes advanced computing technologies in terms of smart world, data centres and other related hardware for Green IoT
â€¢ Elaborates energy-efficient Green IoT Design for real-time implementations
â€¢ Covers pertinent applications in building smart cities, healthcare devices, efficient energy harvesting and so forth
This short-form book is aimed at students, researchers in IoT, clean technologies, computer science and engineering cum Industry R&D researchers.
Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development
AvAnand Paul,Anand Nayyarm. fl.
E-bok
PDF, Engelska, 2019
1 019 kr
Läs direkt efter köp
Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patientâ€™s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world.
Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world.
Key Features:

Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry.

Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection.

In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis.

Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms.

Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis.

Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery.
The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.
Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development
AvAnand Paul,Anand Nayyarm. fl.
E-bok
Engelska, 2019
1 019 kr
Läs direkt efter köp
Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patientâ€™s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world.
Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world.
Key Features:

Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry.

Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection.

In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis.

Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms.

Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis.

Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery.
The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.
SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things
AvAnand Nayyar,Bibhudatta Sahoom. fl.
E-bok
PDF, Engelska, 2022
864 kr
Läs direkt efter köp
SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resource coveringa wide range of research directions in the field of edge-cloud computing, SDN, and IoT. The integration of SDN in edge-cloud interplay is a promising framework for enhancing the QoS for complex IoT-driven applications. The interplay between cloud and edge solves some of the major challenges that arise in traditional IoT architecture. This book is a starting point for those involved in this research domain and explores a range of significant issues including network congestion, traffic management, latency, QoS, scalability, security, and controller placement problems.
Features:
The book covers emerging trends, issues and solutions in the direction of Edge-cloud interplay It highlights the research advances in on SDN, edge, and IoT architecture for smart cities, and software-defined internet of vehicles It includes detailed discussion has made of performance evaluations of SDN controllers, scalable software-defined edge computing, and AI for edge computing Applications areas include machine learning and deep learning in SDN-supported edge-cloud systems Different use cases covered include smart health care, smart city, internet of drones, etc
This book is designed for scientific communities including graduate students, academicians, and industry professionals who are interested in exploring technologies related to the internet of things such as cloud, SDN, edge, internet of drones, etc.
SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things
AvAnand Nayyar,Bibhudatta Sahoom. fl.
E-bok
Engelska, 2022
864 kr
Läs direkt efter köp
SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resource coveringa wide range of research directions in the field of edge-cloud computing, SDN, and IoT. The integration of SDN in edge-cloud interplay is a promising framework for enhancing the QoS for complex IoT-driven applications. The interplay between cloud and edge solves some of the major challenges that arise in traditional IoT architecture. This book is a starting point for those involved in this research domain and explores a range of significant issues including network congestion, traffic management, latency, QoS, scalability, security, and controller placement problems.
Features:
The book covers emerging trends, issues and solutions in the direction of Edge-cloud interplay It highlights the research advances in on SDN, edge, and IoT architecture for smart cities, and software-defined internet of vehicles It includes detailed discussion has made of performance evaluations of SDN controllers, scalable software-defined edge computing, and AI for edge computing Applications areas include machine learning and deep learning in SDN-supported edge-cloud systems Different use cases covered include smart health care, smart city, internet of drones, etc
This book is designed for scientific communities including graduate students, academicians, and industry professionals who are interested in exploring technologies related to the internet of things such as cloud, SDN, edge, internet of drones, etc.
Advances in Distance Learning in Times of Pandemic
AvMohd Naved,Anand Nayyarm. fl.
E-bok
PDF, Engelska, 2023
838 kr
Läs direkt efter köp
The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times. It covers both the theoretical and practical aspects connected to distance education. It elaborates on issues regarding distance learning, its challenges, assessment by students and their expectations, the use of tools to improve distance learning, and the functioning of e-learning in the industry 4.0 and society 5.0 eras. The book also devotes a lot of space to the issues of Web 3.0 in university e-learning, quality assurance, and knowledge management. The aim and scope of this book is to draw a holistic picture of ongoing online teaching-activities before and during the lockdown period and present the meaning and future of e-learning from students’ points of view, taking into consideration their attitudes and expectations as well as industry 4.0 and society 5.0 aspects. The book presents the approach to distance learning and how it has changed, especially during a pandemic that revolutionized education.
It highlights
• the function of online education and how that has changed before and during the pandemic.
• how e-learning is beneficial in promoting digital citizenship.
• distance learning characteristic in the era of industry 4.0 and society 5.0.
• how the era of industry 4.0 treats distance learning as a desirable form of education.
The book covers both scientific and educational aspects and can be useful for university-level undergraduate, postgraduate and research-grade courses and can be referred to by anyone interested in exploring the diverse aspects of distance learning.
Advances in Distance Learning in Times of Pandemic
AvMohd Naved,Anand Nayyarm. fl.
E-bok
Engelska, 2023
815 kr
Läs direkt efter köp
The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times. It covers both the theoretical and practical aspects connected to distance education. It elaborates on issues regarding distance learning, its challenges, assessment by students and their expectations, the use of tools to improve distance learning, and the functioning of e-learning in the industry 4.0 and society 5.0 eras. The book also devotes a lot of space to the issues of Web 3.0 in university e-learning, quality assurance, and knowledge management. The aim and scope of this book is to draw a holistic picture of ongoing online teaching-activities before and during the lockdown period and present the meaning and future of e-learning from students’ points of view, taking into consideration their attitudes and expectations as well as industry 4.0 and society 5.0 aspects. The book presents the approach to distance learning and how it has changed, especially during a pandemic that revolutionized education.
It highlights
• the function of online education and how that has changed before and during the pandemic.
• how e-learning is beneficial in promoting digital citizenship.
• distance learning characteristic in the era of industry 4.0 and society 5.0.
• how the era of industry 4.0 treats distance learning as a desirable form of education.
The book covers both scientific and educational aspects and can be useful for university-level undergraduate, postgraduate and research-grade courses and can be referred to by anyone interested in exploring the diverse aspects of distance learning.

Anand Nayyar – författare

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Comprehensive Guide to Heterogeneous Networks

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XAI Based Intelligent Systems for Society 5.0

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Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Machine Learning in Signal Processing

Machine Learning in Signal Processing

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Digital Twins for Smart Cities and Villages

Digital Twins for Smart Cities and Villages

AI Challenges for a Sustainable Future

Mastering Prompt Engineering

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Quantum Computing and Instrumentation for Smart Agriculture

Quantum Computing and Instrumentation for Smart Agriculture

AI and Computational Intelligence for Environmental Sustainability

AI and Computational Intelligence for Environmental Sustainability

Machine Learning in Signal Processing

Machine Learning in Signal Processing

Green Internet of Things

Green Internet of Things

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things

Advances in Distance Learning in Times of Pandemic

Advances in Distance Learning in Times of Pandemic