Sandeep Kautish – författare

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation

Green Information and Communication Systems for a Sustainable Future covers the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of Green Information and Communication Systems. This book provides the reader with up-to-date information on core and specialized issues, making it highly suitable for both the novice and the experienced researcher in the field.The book covers theoretical and practical perspectives on network design. It includes how green ICT initiatives and applications can play a major role in reducing CO2 emissions, and focuses on industry and how it can promote awareness and implementation of Green ICT. The book discusses scholarship and research in green and sustainable IT for business and organizations and uses the power of IT to usher sustainability into other parts of an organization.Business and management educators, management researchers, doctoral scholars, university teaching personnel and policy makers as well as members of higher academic research organizations will all discover this book to be an indispensable guide to Green Information and Communication Systems. It will also serve as a key resource for Industrial and Management training organizations all over the world.

Green Information and Communication Systems for a Sustainable Future covers the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of Green Information and Communication Systems. This book provides the reader with up-to-date information on core and specialized issues, making it highly suitable for both the novice and the experienced researcher in the field.The book covers theoretical and practical perspectives on network design. It includes how green ICT initiatives and applications can play a major role in reducing CO2 emissions, and focuses on industry and how it can promote awareness and implementation of Green ICT. The book discusses scholarship and research in green and sustainable IT for business and organizations and uses the power of IT to usher sustainability into other parts of an organization.Business and management educators, management researchers, doctoral scholars, university teaching personnel and policy makers as well as members of higher academic research organizations will all discover this book to be an indispensable guide to Green Information and Communication Systems. It will also serve as a key resource for Industrial and Management training organizations all over the world.

Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence techniques. This book focuses on addressing problems in advanced topics in the sustainable supply chain and will appeal to practitioners, managers, researchers, students, and professionals interested in sustainable logistics, procurement, manufacturing, inventory and production management, scheduling, transportation, and supply chain network design.

Serves as a reference on computational intelligence-enabled sustainable supply chains for graduate students in computer/data science, industrial engineering, industrial ecology, and businessExplores key topics in sustainable supply chain informatics, that is, heuristics, metaheuristics, robotics, simulation, machine learning, big data analytics and artificial intelligence Provides a foundation for industry leaders and professionals to understand recent and cutting-edge methodologies and technologies in the domain of sustainable supply chain powered by computational intelligence techniques

Integrating AI in Psychological and Mental Health Care: Techniques, Applications, and Ethical Considerations introduces key concepts and the historical evolution of AI, providing a foundation for understanding its applications in mental health. The content delves into various aspects of AI, including diagnostic tools, machine learning algorithms, and natural language processing, highlighting their roles in enhancing therapeutic outcomes and improving patient care. The discussion encompasses significant mental health conditions such as anxiety, depression, and severe psychological disorders, showcasing how AI technologies can assist in diagnosis, treatment planning, and monitoring. Ethical considerations and privacy issues are critically examined, ensuring a balanced perspective on the benefits and challenges associated with AI-driven interventions. Practical applications, such as virtual psychotherapists and AI-enhanced cognitive behavioral therapy illustrate real-world implementations and their impact on patient care. Additionally, case studies provide insights into successful AI applications in mental health settings, thus enhancing our understanding of potential advantages and obstacles.Covers how artificial intelligence is integrated into psychological and mental health care, including various technologies such as diagnostic tools, machine learning algorithms, and natural language processingIllustrates how AI technologies are being successfully implemented in mental health settings by including real-world examples and case studiesAddresses the ethical implications of using AI in mental health, including privacy concerns and the responsibilities of practitioners

Generative AI in Software Development: A Practical Guide for Engineering Leaders explores how large language models and generative tools are fundamentally changing the way software is created, tested, and maintained. This isn’t a theoretical or academic deep dive; it’s a practical, grounded guide for developers, product teams, and tech leaders who want to understand how generative AI can be embedded into real-world software workflows. From writing and debugging code to generating UI components, managing APIs, and automating deployment tasks, this book shows how AI is becoming a true co-developer.What sets this book apart is its balance: it’s not just for hardcore engineers nor is it a high-level overview filled with buzzwords. Instead, it sits at the intersection technical enough to be useful but accessible enough for product managers and decision-makers. The industry is at an inflection point where AI-assisted development is no longer optional; it’s become essential. This book fills the gap for those who want to move beyond the hype and see exactly how generative AI can speed up development, improve code quality, and change the economics of software delivery.

Generative AI in Software Development: A Practical Guide for Engineering Leaders explores how large language models and generative tools are fundamentally changing the way software is created, tested, and maintained. This isn’t a theoretical or academic deep dive; it’s a practical, grounded guide for developers, product teams, and tech leaders who want to understand how generative AI can be embedded into real-world software workflows. From writing and debugging code to generating UI components, managing APIs, and automating deployment tasks, this book shows how AI is becoming a true co-developer.What sets this book apart is its balance: it’s not just for hardcore engineers nor is it a high-level overview filled with buzzwords. Instead, it sits at the intersection technical enough to be useful but accessible enough for product managers and decision-makers. The industry is at an inflection point where AI-assisted development is no longer optional; it’s become essential. This book fills the gap for those who want to move beyond the hype and see exactly how generative AI can speed up development, improve code quality, and change the economics of software delivery.

INTELLIGENT SYSTEMS FOR REHABILITATION ENGINEERING Encapsulates different case studies where technology can be used as assistive technology for the physically challenged, visually and hearing impaired. Rehabilitation engineering includes the development of technological solutions and devices to assist individuals with disabilities, while also supporting the recovery of the disabled who have lost their physical and cognitive functions. These systems can be designed and built to meet a wide range of needs that can help individuals with mobility, communication, vision, hearing, and cognition. The growing technological developments in machine learning, deep learning, robotics, virtual intelligence, etc., play an important role in rehabilitation engineering. Intelligent Systems for Rehabilitation Engineering focuses on trending research of intelligent systems in rehabilitation engineering which involves the design and development of innovative technologies and techniques including rehabilitation robotics, visual rehabilitation, physical prosthetics, brain computer interfaces, sensory rehabilitation, motion rehabilitation, etc. This groundbreaking book Provides a comprehensive reference covering different computer assistive techniques for the physically disabled, visually and hearing impaired.Focuses on trending research of intelligent systems in rehabilitation engineering which involves the design and development of innovative technologies and techniques.Provides insights into the role of intelligent systems in rehabilitation engineering.Audience Engineers and device manufacturers working in rehabilitation engineering as well as researchers in computer science, artificial intelligence, electronic engineering, who are working on intelligent systems.

Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.

TRUST-BASED COMMUNICATION SYSTEMS FOR INTERNET OF THINGS APPLICATIONSHighlighting the challenges and difficulties in implementing trust-based communication systems for Internet of Things (IoT) services and applications, this innovative new volume is a critical reference source for academics, professionals, engineers, technology designers, analysts, and students.The primary objective of this edited book is to deliver technologies to improve trust and eliminate malicious actors in participatory exchanges throughout communication using Internet of Things (IOT) devices such that these methods should not only be able to identify bad actors but also to improve communication and trust in the environment without violating object privacy. Whether as a reference for the engineer or scientist or a textbook for the student, this is a must-have for any library.

Company executives need strategic flexibility in VUCA to maintain an advantage alongside business analytics, helping them achieve a competitive edge by providing timely insights, optimizing business processes, and generating growth and innovation opportunities.Strategic questions arise as firms begin their business analytics programmes, and VUCA and Other Analytics in Business Resilience brings together specialists from different disciplines and continents to provide answers. The chapters discuss organizational justice, sustainable HR, machine learning, and more, providing future roadmaps to minimise disruption during occurrences like the COVID-19-related worldwide catastrophe and the ramifications for managers and policymakers.Emerald Studies in Finance, Insurance, And Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.

Company executives need strategic flexibility in VUCA to maintain an advantage alongside business analytics, helping them achieve a competitive edge by providing timely insights, optimizing business processes, and generating growth and innovation opportunities.Strategic questions arise as firms begin their business analytics programmes, and VUCA and Other Analytics in Business Resilience brings together specialists from different disciplines and continents to provide answers. The chapters discuss descriptive/diagnostic, predictive, and prescriptive analytics tools and how they might be used to investigate 'black swan' occurrences like the COVID-19-related worldwide catastrophe and the ramifications for managers and policymakers.Emerald Studies in Finance, Insurance, And Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19.

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19.

Also, there is a need to highlight how innovative green technologies and their applications in areas such as renewable energy, waste management, and sustainable agriculture may be used and to showcase how technological innovation can lead to more sustainable production and consumption patterns.

Against this background, and in order to facilitate a broad discussion on the contribution of IT toward implementing the UN SDGs, this book is being produced. The book gathers inputs from universities, enterprises, and research organizations working on matters related to IT and sustainable development in a variety of contexts. It also provides a platform for the dissemination of information on the latest initiatives, paving the way for technology transfer and networking. Last but not least, a further aim of the book is to present methodological approaches and experiences deriving from case studies and projects, which aims to show how IT may support sustainability efforts in a wide range of settings and contexts. Digital technologies are now widely spread and the variety of tools and methods available today means that they can potentially useful in helping to achieve the United Nations Sustainable Development Goals (UN SDGs). However, the gap between technological innovation and sustainable development applications is quite wide. For instance, it is unclear how artificial intelligence can be leveraged to tackle some of the world’s biggest environmental challenges, including climate change, biodiversity, and water management. Also, there is a need to highlight how innovative green technologies and their applications in areas such as renewable energy, waste management, and sustainable agriculture may be used and to showcase how technological innovation can lead to more sustainable production and consumption patterns.

The Metaverse has revolutionized the landscape of designing and implementing modern information systems by introducing a new dimension of connectivity and interaction. Information systems, traditionally confined to desktop applications and web platforms, have now expanded into immersive virtual spaces, blurring the lines between the physical and digital worlds. This shift has led to the integration of real-time data sharing, collaboration, and communication within the Metaverse, enhancing user experiences and data accessibility. Metaverse driven Intelligent Information Systems embodies knowledge based behavior which enables them to act intelligently and interact with end users & other systems in the process of solving variety of problems i.e. classification, retrieval, discovery and manipulation of hidden patterns and useful insights of data which leads to decision making process. IIS also deals with fetching, classifying, retrieving, and storing multimedia data for creating intelligent visual user interfaces for enhanced user experiences.This book presents fresh ideas and latest advances in the field of Intelligent Information Systems powered by Metaverse and related applications in the different areas i.e. optimization of complex systems, medical diagnosis, robotics and automation, and time series predictions. The proposed book is intended for readers i.e. researchers and professors in the field of computer science working on various new directions and aspects of intelligent information systems and machine intelligence.Distinguished Features of the proposed book –State-of-art documentation of Metaverse driven Intelligent Information Systems and theirapplications right from beginner level to advanced level.Excellent reference material for academic scientists, researcher and research scholarsworking in modern information systems domain.This book will showcase the recent innovations, trends, and concerns as well as appliedchallenges encountered and solutions adopted in the fields of Metaverse and InformationSystems design and development.