Vinayakumar Ravi - Böcker
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14 produkter
14 produkter
1 410 kr
Skickas inom 7-10 vardagar
Self-powered Sensors: A Path to Wearable Electronics features recent developments in chemical, photonic, pharmaceutical, microbiological, biomimetic, and bio-inspired approaches for MEMS/NEMS and medicinal self-powered sensors. Unconventional nanomaterial sensors driven by self-sufficient energy are given a contemporary review, with a focus on the categorization of energy sources and comparisons of research involving self-powered solar, piezoresistive, triboelectric, and thermodynamic technologies. This book also focuses on the different techniques, materials, comparisons of fabrication of self-powered sensors as well as thermoelectric self-powered sensors and its implantable applications.Presents state-of-the-art technologies and advancements in the design and application of self-powered sensorsExamines the advantages and disadvantages of self-powered nanomaterial sensors in terms of energy collecting techniques and sensing applicationsReviews the incorporation of self-operating devices and novel uses for neuromorphic sensors
Computational Intelligence in Sustainable Computing and Optimization
Trends and Applications
Häftad, Engelska, 2024
1 788 kr
Skickas inom 7-10 vardagar
Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resourcesComputational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable.Presents computational, intelligence-based data analysis for sustainable computing applications such as pattern recognition, biomedical imaging, sustainable cities, sustainable transport, sustainable agriculture, and sustainable financial managementDevelops research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resourcesIncludes three foundational chapters dedicated to providing an overview of computational intelligence and optimization techniques and their applications for sustainable computing
1 841 kr
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Data-Driven Diagnostics and Disease Prediction with AI Optimization provides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the conventional and non-conventional methods related to this domain. It also discusses AI-based optimization techniques, Machine Learning models, and Advanced AI, offering practical insights, case studies, and optimization strategies to help data scientists and researchers efficiently employ AI in diagnostics and illness prediction in a world where precise diagnostics and early illness prediction may save lives and healthcare resources.Provides a complete overview of the challenges and pain points in implementing AI-driven diagnostics and disease prediction within the healthcare industryExplores various edge computing applications in healthcare and the use of hardware acceleration for AI applicationsPresents a comprehensive resource that bridges the gap between AI and healthcare
1 791 kr
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The proliferation of IoT devices and the exponential growth of multimedia brings opportunities and challenges. IoMT has uses in a variety of fields, including healthcare, education, agriculture, communication and entertainment, but IoMT networks are susceptible to security issues that must be addressed. Internet of Multimedia Things Security: Tools and Applications introduces the principles behind the IoMT by exploring three converging three domains: Internet of Things, Data Security, and Multimedia. It covers vulnerabilities such as cyber-attacks, unauthorized access, data breaches, and privacy preservation, and provides case studies to assist research students and engineers in securely incorporate multimedia into their applications.Offers a comprehensive understanding of the foundational principles of the Internet of Multimedia Things and its practical applications in IoTProvides practical applications and case studies in the application of IoMT securityDiscusses the ethical implications in IoMT engineeringInvestigates the possibilities and challenges of utilising emerging technologies, such as federated learning, explainable AI and Adversarial, in IoMT security
- Nyhet
1 690 kr
Kommande
AI Below the Surface: Navigating the Deep Ocean with Intelligence provides a comprehensive overview of how Artificial Intelligence (AI) is utilized in marine science, marine biology, and oceanography. Through its exploration of advanced AI technologies and their interaction with complex underwater ecosystems, this edited volume offers valuable insights into future applications and trends as well as to ethical considerations and challenges. Comprised of twelve chapters authored by global experts in AI, marine biology, and oceanography, the book caters to students, researchers, and practitioners seeking a deep understanding of AI's impact in these fields.This resource serves as an accessible and indispensable guide, shedding light on the transformative role of AI in marine exploration.Offers a thorough examination on how AI is reshaping our approach to understanding and interacting with the underwater worldProvides real-world examples and case studies that demonstrate the practical applications of AI in underwater robotics, marine life monitoring, and object recognitionIncludes future trends and innovations that will be of interest to both technology enthusiasts and marine scientists, fostering cross-disciplinary dialogue and collaboration
- Nyhet
2 040 kr
Kommande
NextGen Strategies and Tools: Pioneering Innovations in Agriculture is a systematic, application-oriented examination of next-generation strategies and technologies that drive innovation in agriculture. The book focuses on integrating Artificial Intelligence (AI), Internet of Things (IoT), deep learning, robotics, and smart sensing technologies to address challenges in sustainability, precision farming, and agricultural productivity.The book presents information on AI-based decision support frameworks, IoT-enabled precision agriculture, smart sensor networks for crop monitoring, and vision-based systems for disease and pest detection. Contributions explore deep learning and computer vision models applied to real-world agricultural scenarios, emphasizing scalability, accuracy, and deployment feasibility in both large-scale and resource-constrained environments. Practical implementations such as Agrobots, Raspberry Pi–based agricultural platforms, and automated fertilizer dispensing systems further demonstrate the applicability of the proposed methods.In addition to technological advancements, the book examines the sustainability and environmental implications of adopting AI and IoT in agriculture. Key considerations such as efficient resource utilization, climate resilience, and environmentally responsible farming practices are discussed to provide a balanced and holistic perspective. By bridging theoretical foundations with practical deployment, the book supports the development of intelligent agricultural ecosystems.As part of the NextGen Agriculture: Novel Concepts and Innovative Strategies series, this book is intended for postgraduate students, researchers, academicians, and professionals in computer science, artificial intelligence, data science, electronics and communication engineering, agricultural engineering, and smart farming technologies. It also serves as a reference for policymakers and practitioners seeking to advance sustainable and intelligent agricultural systems.
Efficient Data Handling for Massive Internet of Medical Things
Healthcare Data Analytics
Inbunden, Engelska, 2021
1 516 kr
Skickas inom 10-15 vardagar
This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics.
Efficient Data Handling for Massive Internet of Medical Things
Healthcare Data Analytics
Häftad, Engelska, 2022
1 472 kr
Skickas inom 10-15 vardagar
This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics.
606 kr
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This book delves into the transformative concept of Zero Trust, challenging traditional notions of network security and advocating for a paradigm shift in cybersecurity strategies.
1 786 kr
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This book offers a comprehensive analysis of intersection of significant domains, including information security, 6G technology, and cybersecurity.
Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care
Inbunden, Engelska, 2025
1 472 kr
Skickas inom 7-10 vardagar
This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical imaging, clinical, and other healthcare applications.The book covers among other areas:Image acquisition and formation.Computer-aided diagnosis.Image classification.Feature extraction.Image enhancement/segmentation.Medical image processing issues such as segmentation, visualization, registration, and navigation may seem to be distinct, yet they are all intertwined in the process of resolving clinical bottlenecks. Using deep learning algorithms, researchers were able to achieve record-breaking performance and set the bar for future research. Due to the extensive quantity of medical imaging data of CT scan, ultrasound, and MRI, there is widespread use of machine learning, specifically deep learning, to discover specific patterns on such data. Such large data is well quantified by deep learning models. Deep learning is now being utilized, customized, and particularly developed for medical image analysis, as opposed to when it was first introduced to the community. Having learned more about the techniques, researchers have come up with innovative ideas for combining artificial intelligence (AI) with neural networks to solve difficult issues like medical image reconstruction. The key features of this book are:Machine learning and deep learning applications.Medical imaging applications.Feature extraction and analysis.Medical image classification, segmentation, recognition, and registration.Medical image analysis and enhancement.Handling medical image dataset.
1 947 kr
Skickas inom 10-15 vardagar
This book offers a comprehensive analysis of the significant intersection where human factors and cyber-physical system (CPS) reliability meet. Physical component integration has become essential in a number of industries, including smart infrastructure, health care, transportation, and manufacturing. However, human performance and decision-making inside these complex frameworks also play an important part in determining the reliability of CPS. Key subjects discussed include the role of human factors in CPS reliability, machine learning and deep learning applications in cybersecurity, resilience engineering, cognitive task management, efficient team collaboration and communication, error control, and cybersecurity awareness.The book will be read by professionals and scholars working in engineering, human factors, reliability engineering, cybersecurity, and related topics. In order to obtain a greater knowledge of the crucial role that human factors play in providing the reliability and trustworthiness of CPS, it is also beneficial for students pursuing courses or research in CPS, human–computer interface (HCI), and systems engineering.
- Nyhet
3 471 kr
Kommande
This book offers a comprehensive study of medical image processing, with an emphasis on methods to enhance the accuracy and readability of medical images for diagnosis and therapy. Its main goals are to improve the visual clarity of images by sharpening details, lowering noise, and altering contrast to better visualize subtle elements. Also, it guarantees that anatomical features are accurately represented by correcting distortions, artefacts, and defects resulting from capture or transmission. Reconstruction is the main topic, including how to mix data from different modalities (such as CT and MRI) to build a more complete perspective or recreate missing or incomplete data from fragmented images. This book covers a wide range of topics, including deep learning methodologies, image processing methods, clinical applications, evaluation, and validation. The goal of the book is to provide readers a thorough understanding of medical image processing methods for enhancing, restoring, and reconstructing medical images. It describes the different algorithms’ theoretical foundations and real-world applications. It highlights the practical uses and promise of these methods for enhancing medical diagnosis and care.
- Nyhet
2 975 kr
Kommande
The book serve as a comprehensive guide to researchers, educators and technologists especially in the area of document image analysis for digital humanities. With the help of this ground-breaking book, learn how smartphone text image analysis could revolutionize world. This book examines how digital technology might improve textual artifact discovery, analysis, and interpretation via the perspective of interdisciplinary studies.The books feature practical insights into:Advanced techniques for smartphone text image analysis, innovative approaches to interdisciplinary research in digital humanities, the intersection of technology and textual analysis in diverse fields, case studies and examples showcasing real-world applications, strategies for gaining valuable insights from textual artifacts using digital tools.This book was composed in response to the growing need in interdisciplinary studies within the field of digital humanities for a comprehensive resource that focuses on leveraging digital technologies, particularly smartphone text image analysis techniques, for the exploration, analysis, and acquisition of insights from textual artifacts. Several factors implies the need of developments related to the field of document analysis for digital humanities.1.With the speed at which digital technologies are developing, particularly in the areas of image analysis and natural language processing, it is necessary to investigate the ways in which these technologies can be used to efficiently evaluate text images taken with smartphones.2.Working with scholars, technologists, educators, and policy makers, digital humanities is intrinsically interdisciplinary. This book fosters a bridge between the humanities and technology.3.Textual artifacts are rich sources of information and insights in a variety of fields, including linguistics, literature, history, and cultural studies. The application of advanced analytical methods to textual materials in order to extract relevant knowledge is becoming more and more popular.4.Text image analysis is now easier than ever to do thanks to the growing popularity of smartphones and other digital devices. The goal of this book is to provide professionals, educators, and researchers with useful tools and methods for utilizing widely accessible technologies to analyze text images.5.As digital humanities develop, so do the problems and opportunities for text image analysis. Some of these include handling a variety of languages, historical documents, and intricate textual structures. This book tackles these issues and looks at fresh directions for investigation.