Mritunjay Rai – författare
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26 produkter
26 produkter
Häftad, Engelska, 2026
2 029 kr
Skickas inom 10-15 vardagar
Traditional surveillance systems struggle to process large volumes of visual data, identify specific objects or behaviors, and adapt to dynamic environments. Computational intelligence, which encompasses techniques like artificial intelligence (AI), machine learning (ML), and computer vision, offers powerful tools to address these challenges by enabling automated analysis, pattern recognition, and decision-making based on visual data. Computational Intelligence in Surveillance Systems Using Image Processing addresses the unique challenges and ethical considerations of applying AI and ML, offering a nuanced understanding of the regulatory landscape. It provides insights into the responsible development and deployment of technologies to unlock the transformative potential of computational intelligence to revolutionize surveillance systems and advance the capabilities of security and monitoring across various sectors.Discusses emerging trends, potential challenges, and areas for future research, providing a roadmap for scholars looking to contribute to the evolving field of image processingExplains how AI and ML algorithms can be applied to analyze and interpret visual data captured by surveillance camerasConsiders the challenges and considerations associated with deploying computational intelligence in surveillance, including privacy concerns, ethical considerations, and technical limitationsExplores specific use cases and applications where computational intelligence can enhance surveillance capabilities, such as object detection, activity recognition, anomaly detection, and predictive analytics
E-bok
Engelska, 20262 568 kr
Läs direkt efter köp
Traditional surveillance systems struggle to process large volumes of visual data, identify specific objects or behaviors, and adapt to dynamic environments. Computational intelligence, which encompasses techniques like artificial intelligence (AI), machine learning (ML), and computer vision, offers powerful tools to address these challenges by enabling automated analysis, pattern recognition, and decision-making based on visual data. Computational Intelligence in Surveillance Systems Using Image Processing addresses the unique challenges and ethical considerations of applying AI and ML, offering a nuanced understanding of the regulatory landscape. It provides insights into the responsible development and deployment of technologies to unlock the transformative potential of computational intelligence to revolutionize surveillance systems and advance the capabilities of security and monitoring across various sectors. - Discusses emerging trends, potential challenges, and areas for future research, providing a roadmap for scholars looking to contribute to the evolving field of image processing- Explains how AI and ML algorithms can be applied to analyze and interpret visual data captured by surveillance cameras- Considers the challenges and considerations associated with deploying computational intelligence in surveillance, including privacy concerns, ethical considerations, and technical limitations- Explores specific use cases and applications where computational intelligence can enhance surveillance capabilities, such as object detection, activity recognition, anomaly detection, and predictive analytics
E-bok
PDF, Engelska, 20252 943 kr
Läs direkt efter köp
In this era of unprecedented connectivity and technological evolution, the fusion of 5G networks with healthcare promises a transformative journey that transcends the boundaries of traditional medical practices. The relentless pursuit of innovation, underpinned by the power of fifth-generation wireless technology, is poised to redefine the landscape of healthcare delivery, patient outcomes, and the very fabric of medical research. This new volume focuses on the recognition of 5G as a catalyst for monumental change in the healthcare sector in order to take advantage of today's technology that fosters more interconnectedness, with the potential to leverage high-speed, low-latency communication afforded by 5G, opening up new frontiers for medical breakthroughs. This book helps to unravel the layers of this technological revolution and illuminate the ways in which 5G is reshaping the future of healthcare.Combining theoretical insights with real-world examples, case studies, and expert perspectives, the volume provides an introduction to communication systems in healthcare and the role of 5G technology and then goes on to discuss specific applications, such as in remote surgery and roboticassisted procedures; for liver tumor segmentation and classification using deep learning models; in telemedicine and mobile health apps; in dentistry; in health security; and more. The volume showcases the diverse applications of artificial intelligence, big data, digital twin, real-time data analytics, etc. in the healthcare sector.
E-bok
Engelska, 20252 943 kr
Läs direkt efter köp
In this era of unprecedented connectivity and technological evolution, the fusion of 5G networks with healthcare promises a transformative journey that transcends the boundaries of traditional medical practices. The relentless pursuit of innovation, underpinned by the power of fifth-generation wireless technology, is poised to redefine the landscape of healthcare delivery, patient outcomes, and the very fabric of medical research. This new volume focuses on the recognition of 5G as a catalyst for monumental change in the healthcare sector in order to take advantage of today's technology that fosters more interconnectedness, with the potential to leverage high-speed, low-latency communication afforded by 5G, opening up new frontiers for medical breakthroughs. This book helps to unravel the layers of this technological revolution and illuminate the ways in which 5G is reshaping the future of healthcare.Combining theoretical insights with real-world examples, case studies, and expert perspectives, the volume provides an introduction to communication systems in healthcare and the role of 5G technology and then goes on to discuss specific applications, such as in remote surgery and roboticassisted procedures; for liver tumor segmentation and classification using deep learning models; in telemedicine and mobile health apps; in dentistry; in health security; and more. The volume showcases the diverse applications of artificial intelligence, big data, digital twin, real-time data analytics, etc. in the healthcare sector.
E-bok
PDF, Engelska, 20251 019 kr
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The Role of Emotional Intelligence and Artificial Intelligence in Organizations analyzes the synergistic relationship between two revolutionizing forces EI and AI in determining the future of work and leadership. The book offers a novel approach to how emotional intelligence enriches human-centered management, whereas artificial intelligence enhances data-driven decision-making and operational effectiveness.Combining psychology, technology, and organizational strategy, the book is a perfect fit for business leaders, HR professionals, organizational psychologists, scholars, and students of management and leadership. It delves into how bringing EI and AI together can lead to resilient, adaptive, and innovative workplace cultures.Through practical examples, case studies, and research-driven insights, readers will learn how to balance emotional intelligence with technological progress to improve collaboration, leadership performance, employee engagement, and ethical AI implementation. The book also tackles issues like digital exhaustion, AI bias, and upholding human values in automated settings.Readers will receive actionable tools and strategic advice to navigate an ever-changing organizational environment ensuring both technological advancement and emotional health are given priority for long-term success.
E-bok
Engelska, 20251 019 kr
Läs direkt efter köp
The Role of Emotional Intelligence and Artificial Intelligence in Organizations analyzes the synergistic relationship between two revolutionizing forces EI and AI in determining the future of work and leadership. The book offers a novel approach to how emotional intelligence enriches human-centered management, whereas artificial intelligence enhances data-driven decision-making and operational effectiveness.Combining psychology, technology, and organizational strategy, the book is a perfect fit for business leaders, HR professionals, organizational psychologists, scholars, and students of management and leadership. It delves into how bringing EI and AI together can lead to resilient, adaptive, and innovative workplace cultures.Through practical examples, case studies, and research-driven insights, readers will learn how to balance emotional intelligence with technological progress to improve collaboration, leadership performance, employee engagement, and ethical AI implementation. The book also tackles issues like digital exhaustion, AI bias, and upholding human values in automated settings.Readers will receive actionable tools and strategic advice to navigate an ever-changing organizational environment ensuring both technological advancement and emotional health are given priority for long-term success.
E-bok
PDF, Engelska, 2025967 kr
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AI in Business Management: Bridging the Gap Between Technology and Strategy discusses how artificial intelligence might be used as a strategic enabler throughout contemporary organizations. The book makes AI accessible to business leaders, managers, and decision-makers, providing applied knowledge of how technological capabilities might be matched with corporate strategy. Interweaving case studies, real-world implementations, and forward-looking examination, it illustrates how AI may be used to fuel innovation, operational effectiveness, and competitive advantage when applied carefully within business models.Designed for professionals, MBA students, consultants, and academics, the book equips readers with a balanced understanding of AI's potential and limitations. It addresses key themes such as digital transformation, ethical AI use, change management, and data-driven decision-making without requiring deep technical knowledge.Readers will gain from practical frameworks, strategic planning resources, and advice on navigating AI adoption in different organizational environments. Whether a digital leader or an executive wanting to future-proof an enterprise, this book provides a critical guide to converting AI technology into strategic effect.
E-bok
Engelska, 2025967 kr
Läs direkt efter köp
AI in Business Management: Bridging the Gap Between Technology and Strategy discusses how artificial intelligence might be used as a strategic enabler throughout contemporary organizations. The book makes AI accessible to business leaders, managers, and decision-makers, providing applied knowledge of how technological capabilities might be matched with corporate strategy. Interweaving case studies, real-world implementations, and forward-looking examination, it illustrates how AI may be used to fuel innovation, operational effectiveness, and competitive advantage when applied carefully within business models.Designed for professionals, MBA students, consultants, and academics, the book equips readers with a balanced understanding of AI's potential and limitations. It addresses key themes such as digital transformation, ethical AI use, change management, and data-driven decision-making without requiring deep technical knowledge.Readers will gain from practical frameworks, strategic planning resources, and advice on navigating AI adoption in different organizational environments. Whether a digital leader or an executive wanting to future-proof an enterprise, this book provides a critical guide to converting AI technology into strategic effect.
Inbunden, Engelska, 2024
2 150 kr
Skickas inom 5-8 vardagar
This book gives comprehensive insights into the application of AI, machine learning, and deep learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces. Mathematical Models Using Artificial Intelligence for Surveillance Systems aims to collect and publish basic principles, algorithms, protocols, developing trends, and security challenges and their solutions for various indoor and outdoor surveillance applications using artificial intelligence (AI). The book addresses how AI technologies such as machine learning (ML), deep learning (DL), sensors, and other wireless devices could play a vital role in assisting various security agencies. Security and safety are the major concerns for public and private places in every country. Some places need indoor surveillance, some need outdoor surveillance, and, in some places, both are needed. The goal of this book is to provide an efficient and optimal surveillance system using AI, ML, and DL-based image processing. The blend of machine vision technology and AI provides a more efficient surveillance system compared to traditional systems. Leading scholars and industry practitioners are expected to make significant contributions to the chapters. Their deep conversations and knowledge, which are based on references and research, will result in a wonderful book and a valuable source of information.
E-bok
Engelska, 20242 664 kr
Läs direkt efter köp
This book gives comprehensive insights into the application of AI, machine learning, and deep learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces.
Mathematical Models Using Artificial Intelligence for Surveillance Systems aims to collect and publish basic principles, algorithms, protocols, developing trends, and security challenges and their solutions for various indoor and outdoor surveillance applications using artificial intelligence (AI). The book addresses how AI technologies such as machine learning (ML), deep learning (DL), sensors, and other wireless devices could play a vital role in assisting various security agencies. Security and safety are the major concerns for public and private places in every country. Some places need indoor surveillance, some need outdoor surveillance, and, in some places, both are needed. The goal of this book is to provide an efficient and optimal surveillance system using AI, ML, and DL-based image processing.
The blend of machine vision technology and AI provides a more efficient surveillance system compared to traditional systems. Leading scholars and industry practitioners are expected to make significant contributions to the chapters. Their deep conversations and knowledge, which are based on references and research, will result in a wonderful book and a valuable source of information.
E-bok
PDF, Engelska, 20242 664 kr
Läs direkt efter köp
This book gives comprehensive insights into the application of AI, machine learning, and deep learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces.
Mathematical Models Using Artificial Intelligence for Surveillance Systems aims to collect and publish basic principles, algorithms, protocols, developing trends, and security challenges and their solutions for various indoor and outdoor surveillance applications using artificial intelligence (AI). The book addresses how AI technologies such as machine learning (ML), deep learning (DL), sensors, and other wireless devices could play a vital role in assisting various security agencies. Security and safety are the major concerns for public and private places in every country. Some places need indoor surveillance, some need outdoor surveillance, and, in some places, both are needed. The goal of this book is to provide an efficient and optimal surveillance system using AI, ML, and DL-based image processing.
The blend of machine vision technology and AI provides a more efficient surveillance system compared to traditional systems. Leading scholars and industry practitioners are expected to make significant contributions to the chapters. Their deep conversations and knowledge, which are based on references and research, will result in a wonderful book and a valuable source of information.
Inbunden, Engelska, 2026
1 727 kr
Skickas inom 5-8 vardagar
Revolutionizing Agricultural Quality Control with AI, Image Processing, and Computational Intelligence Techniques As the global demand for high-quality, sustainable agricultural products increases, advanced technology becomes critical in meeting these challenges. Computational Intelligence and Image Processing in Agriculture explores how innovative technologies are transforming agricultural quality evaluation. Combining foundational concepts with practical applications, this comprehensive text delves into innovative techniques to improve accuracy, efficiency, and sustainability in quality control. Addressing key challenges faced by researchers, practitioners, and industry professionals, contributions from leading experts in AI, agriculture, and computational intelligence provide a deep understanding of technologies such as deep learning, computer vision, and AI-driven robotics. Real-world examples, step-by-step tutorials, and code snippets make the concepts accessible and actionable, while coverage of emerging trends and future directions highlights the evolving landscape of agricultural technology. Offering interdisciplinary insights and practical tools to modernize evaluation techniques, reduce waste, enhance food safety, and meet the growing demands of sustainable farming practices, this book: Addresses challenges and solutions for real-time monitoring systems in agricultureHighlights cutting-edge applications such as AI-driven robotics and LiDAR in farmingEmphasizes sustainability and environmental impact through technological innovation Offers detailed coverage of image analysis algorithms for quality controlDiscusses ethical and environmental implications of technology in agricultureThis book is ideal for advanced undergraduate and graduate courses in agricultural engineering, computer science, and AI applications. It is also an essential reference for professionals including agricultural scientists, AI practitioners, and quality control experts.
E-bok
Engelska, 20251 993 kr
Läs direkt efter köp
Revolutionizing Agricultural Quality Control with AI, Image Processing, and Computational Intelligence Techniques As the global demand for high-quality, sustainable agricultural products increases, advanced technology becomes critical in meeting these challenges. Computational Intelligence and Image Processing in Agriculture explores how innovative technologies are transforming agricultural quality evaluation. Combining foundational concepts with practical applications, this comprehensive text delves into innovative techniques to improve accuracy, efficiency, and sustainability in quality control. Addressing key challenges faced by researchers, practitioners, and industry professionals, contributions from leading experts in AI, agriculture, and computational intelligence provide a deep understanding of technologies such as deep learning, computer vision, and AI-driven robotics. Real-world examples, step-by-step tutorials, and code snippets make the concepts accessible and actionable, while coverage of emerging trends and future directions highlights the evolving landscape of agricultural technology. Offering interdisciplinary insights and practical tools to modernize evaluation techniques, reduce waste, enhance food safety, and meet the growing demands of sustainable farming practices, this book: Addresses challenges and solutions for real-time monitoring systems in agriculture Highlights cutting-edge applications such as AI-driven robotics and LiDAR in farming Emphasizes sustainability and environmental impact through technological innovation Offers detailed coverage of image analysis algorithms for quality control Discusses ethical and environmental implications of technology in agriculture This book is ideal for advanced undergraduate and graduate courses in agricultural engineering, computer science, and AI applications. It is also an essential reference for professionals including agricultural scientists, AI practitioners, and quality control experts.
E-bok
PDF, Engelska, 20252 036 kr
Läs direkt efter köp
Revolutionizing Agricultural Quality Control with AI, Image Processing, and Computational Intelligence Techniques As the global demand for high-quality, sustainable agricultural products increases, advanced technology becomes critical in meeting these challenges. Computational Intelligence and Image Processing in Agriculture explores how innovative technologies are transforming agricultural quality evaluation. Combining foundational concepts with practical applications, this comprehensive text delves into innovative techniques to improve accuracy, efficiency, and sustainability in quality control. Addressing key challenges faced by researchers, practitioners, and industry professionals, contributions from leading experts in AI, agriculture, and computational intelligence provide a deep understanding of technologies such as deep learning, computer vision, and AI-driven robotics. Real-world examples, step-by-step tutorials, and code snippets make the concepts accessible and actionable, while coverage of emerging trends and future directions highlights the evolving landscape of agricultural technology. Offering interdisciplinary insights and practical tools to modernize evaluation techniques, reduce waste, enhance food safety, and meet the growing demands of sustainable farming practices, this book: Addresses challenges and solutions for real-time monitoring systems in agriculture Highlights cutting-edge applications such as AI-driven robotics and LiDAR in farming Emphasizes sustainability and environmental impact through technological innovation Offers detailed coverage of image analysis algorithms for quality control Discusses ethical and environmental implications of technology in agriculture This book is ideal for advanced undergraduate and graduate courses in agricultural engineering, computer science, and AI applications. It is also an essential reference for professionals including agricultural scientists, AI practitioners, and quality control experts.
E-bok
PDF, Engelska, 20261 184 kr
Läs direkt efter köp
Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management. By integrating real-time visual data analysis with sophisticated artificial intelligence techniques, this book highlights the potential to enhance situational awareness, safety, and efficiency in managing increasingly complex and congested airspaces. It delves into the use of convolutional neural networks (CNNs) and deep learning models to identify, track, and analyse aircraft movements, offering precise and actionable insights for air-traffic controllers.This comprehensive resource combines theoretical foundations with practical applications, including real-world case studies and discussions on system implementation. It addresses critical aspects such as object detection, anomaly identification, and trajectory prediction, alongside regulatory, ethical, and cybersecurity considerations. With its blend of cutting-edge research and practical insights, this book is an invaluable guide for professionals, researchers, and students in aerospace engineering, artificial intelligence, and computer vision, providing a roadmap for advancing air-traffic surveillance and management in the era of intelligent systems.
Inbunden, Engelska, 2026
1 099 kr
Skickas inom 5-8 vardagar
Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management. By integrating real-time visual data analysis with sophisticated artificial intelligence techniques, this book highlights the potential to enhance situational awareness, safety, and efficiency in managing increasingly complex and congested airspaces. It delves into the use of convolutional neural networks (CNNs) and deep learning models to identify, track, and analyse aircraft movements, offering precise and actionable insights for air-traffic controllers.This comprehensive resource combines theoretical foundations with practical applications, including real-world case studies and discussions on system implementation. It addresses critical aspects such as object detection, anomaly identification, and trajectory prediction, alongside regulatory, ethical, and cybersecurity considerations. With its blend of cutting-edge research and practical insights, this book is an invaluable guide for professionals, researchers, and students in aerospace engineering, artificial intelligence, and computer vision, providing a roadmap for advancing air-traffic surveillance and management in the era of intelligent systems.
1 184 kr
Läs direkt efter köp
Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management. By integrating real-time visual data analysis with sophisticated artificial intelligence techniques, this book highlights the potential to enhance situational awareness, safety, and efficiency in managing increasingly complex and congested airspaces. It delves into the use of convolutional neural networks (CNNs) and deep learning models to identify, track, and analyse aircraft movements, offering precise and actionable insights for air-traffic controllers.This comprehensive resource combines theoretical foundations with practical applications, including real-world case studies and discussions on system implementation. It addresses critical aspects such as object detection, anomaly identification, and trajectory prediction, alongside regulatory, ethical, and cybersecurity considerations. With its blend of cutting-edge research and practical insights, this book is an invaluable guide for professionals, researchers, and students in aerospace engineering, artificial intelligence, and computer vision, providing a roadmap for advancing air-traffic surveillance and management in the era of intelligent systems.
E-bok
PDF, Engelska, 2026668 kr
Läs direkt efter köp
AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.
Inbunden, Engelska, 2026
1 099 kr
Skickas inom 5-8 vardagar
AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.
E-bok
Engelska, 2026666 kr
Läs direkt efter köp
AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.
Häftad, Engelska, 2026
621 kr
Skickas inom 5-8 vardagar
AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions.Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.
Inbunden, Engelska, 2026
3 013 kr
Skickas inom 5-8 vardagar
Inbunden, Engelska, 2026
3 349 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2026
2 856 kr
Skickas inom 5-8 vardagar
Inbunden, Engelska, 2024
3 452 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2024
2 986 kr
Skickas inom 5-8 vardagar