Brojo Kishore Mishra – författare

Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of Deep Learning and its applications in the field of Biomedical Engineering. Deep learning has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. Deep Learning provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and AI techniques such as Deep Learning and Convolutional Neural Networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use Deep Learning include: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of Deep Learning applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer's, ADHD, and ASD, tumor prediction, as well as translational multimodal imaging analysis. Presents a comprehensive handbook of the biomedical engineering applications of DL, including computational neuroscience, neuroimaging, time series data such as MRI, functional MRI, CT, EEG, MEG, and data fusion of biomedical imaging data from disparate sources, such as X-Ray/CT Helps readers understand key concepts in DL applications for biomedical engineering and health care, including manifold learning, classification, clustering, and regression in neuroimaging data analysis Provides readers with key DL development techniques such as creation of algorithms and application of DL through artificial neural networks and convolutional neural networks Includes coverage of key application areas of DL such as early diagnosis of specific diseases such as Alzheimer's, ADHD, and ASD, and tumor prediction through MRI and translational multimodality imaging and biomedical applications such as detection, diagnostic analysis, quantitative measurements, and image guidance of ultrasonography

Handbook of IoT and Blockchain: Methods, solutions, and Recent Advancements includes contributions from around the globe on recent advances and findings in the domain of Internet of Things (IoT) and Blockchain. Chapters include theoretical analysis, practical implications, and extensive surveys with analysis on methods, algorithms, and processes for new product development.IoT and Blockchain are the emerging topics in the current manufacturing scenario.This handbook includes recent advances; showcases the work of research around the globe; offers theoretical analysis and practical implications; presents extensive surveys with analysis, new contributions, and proposals on methods, algorithms, and processes; and also covers recent advances from quantitative and qualitative articles, case studies, conceptual works, and theoretical backing.This handbook will be of interest to graduate students, researchers, academicians, institutions, and professionals that are interested in exploring the areas of IoT and Blockchain.

Handbook of IoT and Blockchain: Methods, solutions, and Recent Advancements includes contributions from around the globe on recent advances and findings in the domain of Internet of Things (IoT) and Blockchain. Chapters include theoretical analysis, practical implications, and extensive surveys with analysis on methods, algorithms, and processes for new product development.IoT and Blockchain are the emerging topics in the current manufacturing scenario.This handbook includes recent advances; showcases the work of research around the globe; offers theoretical analysis and practical implications; presents extensive surveys with analysis, new contributions, and proposals on methods, algorithms, and processes; and also covers recent advances from quantitative and qualitative articles, case studies, conceptual works, and theoretical backing.This handbook will be of interest to graduate students, researchers, academicians, institutions, and professionals that are interested in exploring the areas of IoT and Blockchain.

There are a lot of e-business security concerns. Knowing about e-business security issues will likely help overcome them. Keep in mind, companies that have control over their e-business are likely to prosper most. In other words, setting up and maintaining a secure e-business is essential and important to business growth. This book covers state-of-the art practices in e-business security, including privacy, trust, security of transactions, big data, cloud computing, social network, and distributed systems.

The book contains several new concepts, techniques, applications and case studies for cyber securities in parallel and distributed computingThe main objective of this book is to explore the concept of cybersecurity in parallel and distributed computing along with recent research developments in the field. Also included are various real-time/offline applications and case studies in the fields of engineering and computer science and the modern tools and technologies used. Information concerning various topics relating to cybersecurity technologies is organized within the sixteen chapters of this book.Some of the important topics covered include: Research and solutions for the problem of hidden image detectionSecurity aspects of data mining and possible solution techniquesA comparative analysis of various methods used in e-commerce security and how to perform secure payment transactions in an efficient mannerBlockchain technology and how it is crucial to the security industrySecurity for the Internet of ThingsSecurity issues and challenges in distributed computing security such as heterogeneous computing, cloud computing, fog computing, etc.Demonstrates the administration task issue in unified cloud situations as a multi-target enhancement issue in light of securityExplores the concepts of cybercrime and cybersecurity and presents the statistical impact it is having on organizationsSecurity policies and mechanisms, various categories of attacks (e.g., denial-of-service), global security architecture, along with distribution of security mechanismsSecurity issues in the healthcare sector with existing solutions and emerging threats.

There are a lot of e-business security concerns. Knowing about e-business security issues will likely help overcome them. Keep in mind, companies that have control over their e-business are likely to prosper most. In other words, setting up and maintaining a secure e-business is essential and important to business growth. This book covers state-of-the art practices in e-business security, including privacy, trust, security of transactions, big data, cloud computing, social network, and distributed systems.

Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era. Over the last decade, technologies like the Internet of Things (IoT), big data, cloud computing, blockchain, artificial intelligence (AI), machine learning, device automation, smart sensors, etc., have become highly developed fundamental supports of Industry 4.0, replacing the conventional production systems with advanced methods, and thereby endorsing the smart industry vision. Industry 4.0 is more flexible and agile in dealing with several risk factors, further enabling improved productivity and efficiency, distribution, increased profitability, data integrity, and enhancing customer experience in the current commercial environment. For understanding and analyzing the environment, sensors play a major role in performing the measurements based on computation-produced results from the surrounding environment. Sensors have a wide range of applications for smart industrial operations. The evolution of flexible, low-cost, and multipurpose sensors and their system integration has been examined to develop advanced devices with applications in numerous fields of technology. With the development of both the Internet of Things (IoT) and the Industrial IoT (IIoT), advanced sensors and their associated applications are developing, resulting in the necessity for IoT sensors to be used for several industrial applications. Beneficial aspects of this book include: The latest research in materials and methodology for the fabrication of intelligent sensors, its IoT system integration, and IIoT applications are brought together;Promotes a vision towards making sensor-based monitoring and control of smart industry;Recent advances and challenges of smart sensors are discussed with an emphasis on unmet challenges and future directions of a roadmap to Industry 4.0.Audience This book is highly recommended to a wide range of researchers and industry engineers working in the area of fabrication and integration of industrial smart sensors for IIoT applications, advanced materials for sensor technology, fabrication and characterization of IoT sensors, development of low-cost sensors, sensor system design and integration, and its industrial applications. Post-graduate students from different streams like computer science, electronics and electrical engineering, information technology, electronic communication, etc. will benefit from reading this book.

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features:Addresses the functional frameworks and workflow that are trending in NLP and AILooks at the latest technologies and the major challenges, issues, and advances in NLP and AIExplores an intelligent field monitoring and automated system through AI with NLP and its implications for the real worldDiscusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features:Addresses the functional frameworks and workflow that are trending in NLP and AILooks at the latest technologies and the major challenges, issues, and advances in NLP and AIExplores an intelligent field monitoring and automated system through AI with NLP and its implications for the real worldDiscusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

This volume provides informative chapters on the emerging issues, challenges, and new methods and state-of-the-art technologies on the Internet of Things and blockchain technology. It presents case studies and solutions that can be applied in the current business scenario, resolving challenges and providing solutions by integrating IoT with blockchain technology. The chapters discuss how the Internet of Things (IoT) represents a revolution of the Internet that can connect nearly all environment devices over the Internet to share data to create novel services and applications for improving quality of life. Although the centralized IoT system provides countless benefits, it raises several challenges. The volume presents IoT techniques and methodologies, blockchain techniques and methodologies, and case studies and applications for data mining algorithms, heart rate monitoring, climate prediction, disease prediction, security issues, automotive supply chains, voting prediction, forecasting particulate matter pollution, customer relationship management, and more.

Network infrastructures are growing rapidly to meet the needs of business, but the required repolicing and reconfiguration provide challenges that need to be addressed. The software-defined network (SDN) is the future generation of Internet technology that can help meet these challenges of network management.This book includes quantitative research, case studies, conceptual papers, model papers, review papers, and theoretical backing on SDN. This book investigates areas where SDN can help other emerging technologies deliver more efficient services, such as IoT, industrial IoT, NFV, big data, blockchain, cloud computing, and edge computing. The book demonstrates the many benefits of SDNs, such as reduced costs, ease of deployment and management, better scalability, availability, flexibility and fine-grained control of traffic, and security.The book demonstrates the many benefits of SDN, such as reduced costs, ease of deployment and management, better scalability, availability, flexibility and fine-grained control of traffic, and security.Chapters in the volume address:Design considerations for security issues and detection methodsState-of-the-art approaches for mitigating DDos attacks using SDNBig data using Apache Hadoop for processing and analyzing large amounts of dataDifferent tools used for attack simulationNetwork policies and policy management approaches that are widely used in the context of SDNDynamic flow tables, or static flow table managementA new four-tiered architecture that includes cloud, SDN-controller, and fog computingArchitecture for keeping computing resources available near the industrial IoT network through edge computingThe impact of SDN as an innovative approach for smart city developmentMore.The book will be a valuable resource for SDN researchers as well as academicians, research scholars, and students in the related areas.

This volume provides informative chapters on the emerging issues, challenges, and new methods and state-of-the-art technologies on the Internet of Things and blockchain technology. It presents case studies and solutions that can be applied in the current business scenario, resolving challenges and providing solutions by integrating IoT with blockchain technology. The chapters discuss how the Internet of Things (IoT) represents a revolution of the Internet that can connect nearly all environment devices over the Internet to share data to create novel services and applications for improving quality of life. Although the centralized IoT system provides countless benefits, it raises several challenges. The volume presents IoT techniques and methodologies, blockchain techniques and methodologies, and case studies and applications for data mining algorithms, heart rate monitoring, climate prediction, disease prediction, security issues, automotive supply chains, voting prediction, forecasting particulate matter pollution, customer relationship management, and more.

Network infrastructures are growing rapidly to meet the needs of business, but the required repolicing and reconfiguration provide challenges that need to be addressed. The software-defined network (SDN) is the future generation of Internet technology that can help meet these challenges of network management.This book includes quantitative research, case studies, conceptual papers, model papers, review papers, and theoretical backing on SDN. This book investigates areas where SDN can help other emerging technologies deliver more efficient services, such as IoT, industrial IoT, NFV, big data, blockchain, cloud computing, and edge computing. The book demonstrates the many benefits of SDNs, such as reduced costs, ease of deployment and management, better scalability, availability, flexibility and fine-grained control of traffic, and security.The book demonstrates the many benefits of SDN, such as reduced costs, ease of deployment and management, better scalability, availability, flexibility and fine-grained control of traffic, and security.Chapters in the volume address:Design considerations for security issues and detection methodsState-of-the-art approaches for mitigating DDos attacks using SDNBig data using Apache Hadoop for processing and analyzing large amounts of dataDifferent tools used for attack simulationNetwork policies and policy management approaches that are widely used in the context of SDNDynamic flow tables, or static flow table managementA new four-tiered architecture that includes cloud, SDN-controller, and fog computingArchitecture for keeping computing resources available near the industrial IoT network through edge computingThe impact of SDN as an innovative approach for smart city developmentMore.The book will be a valuable resource for SDN researchers as well as academicians, research scholars, and students in the related areas.

The Internet of Things has revolutionized many industries and sectors by connecting devices to the Internet with the use of smart sensors and actuators, resulting in many advantages to businesses and organizations, such as better information and resource sharing, better supply chain efficiency, resulting in better overall efficiency and cost savings.This new book investigates the potential for initiating data-enabled and IoT-intensive applications to provide control and optimization of industrial operations and services. It presents an informative selection of quantitative research, case studies, conceptual chapters, model articles and theoretical papers on many important technological advances, applications, and challenges in the current status of IoT. The book features examples of IoT applications in such areas as food processing, automotive engineering, mental health, health tracking, security, and more. It discusses applying IoT in reverse logistics processes, developments in the Internet of Vehicles, the use of smart antennas, and machine learning in IoT. One chapter discusses a ground-breaking new device that uses IoT to convert audio recordings to Braille. Also discussed is the growing use of IoT in biometric technology (the use of technology to identify a person based on some aspect of their biology, such as fingerprint and eye unique pattern recognition).The enlightening information shared here offers state-of-the-art IoT solutions to many of today’s challenges of improving efficiency and bringing important information to the surface more quickly than systems depending on human intervention. The volume will be of value for computer science engineers and researchers, instructors and students in the field, and professionals that are interested in exploring the areas of next-generations IoT.

In an era where technological advancements are reshaping industries and societies, the convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and Sustainability initiatives is driving unprecedented change. "Future of AI, IoT, and Sustainability" explores the transformative power of these technologies and their role in creating a more sustainable, efficient, and interconnected world.This insightful volume brings together leading experts and thought leaders to examine the latest innovations at the intersection of AI, IoT, and Sustainability. Through a series of compelling chapters, readers will discover how AI and IoT are revolutionizing industries such as energy, agriculture, transportation, and urban development, offering new solutions to the pressing challenges of climate change, resource management, and environmental preservation.Whether you are a technologist, policy maker, researcher, or sustainability advocate, this book provides a comprehensive guide to understanding the future landscape of AI, IoT, and sustainability. It offers practical insights and forward-thinking strategies that will inspire and equip you to contribute to a greener, smarter, and more sustainable future.

This book presents the proceedings of the International Conference on Technology Advances for Green Solutions and Sustainable Development (ICT4GS-2024) held from August 9–10, 2024, and organized by the Department of Computer Science and Engineering, NIST University, Berhampur - 761008, Odisha, India. The event provided a platform for researchers, professionals, and policymakers to exchange ideas and discuss recent innovations in green technologies and sustainable practices. The conference featured keynote speeches, paper presentations, and thematic discussions on topics such as renewable energy, IoT for environmental monitoring, and sustainable agriculture. ICT4GS-2024 was conducted in hybrid mode (both online and onsite), enabling global participation.

The book covers topics such as IoT network design and architecture, IoT network virtualization, IoT sensors, privacy and security for IoT, SMART environment, social networks, data science and data analytics, cognitive intelligence and augmented intelligence, and case studies and applications.

This book includes high-quality papers presented at the Second International Conference on Data Science and Management (ICDSM 2021), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from 19 to 20 February 2021.

This book includes high-quality papers presented at the Second International Conference on Data Science and Management (ICDSM 2021), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from 19 to 20 February 2021.