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Internet of Medical Things: Case Studies and Applications in Healthcare
The book presents a comprehensive overview of emerging IoT technologies, IoT devices and sensors and their role in the healthcare industry. It offers recent developments in the creation, application, and impact of new IoMT data security, IoMT devices used in a variety of applications, including telemedicine, monitoring patients, and intelligence-based medical data analysis. It includes discussions on the use of medical data analysis to make various predictions and diagnoses that lead to the right treatment. The security of medical data from Internet of Things (IoT) devices, where there is a risk of data leakage during transmission from the device to the server, is also discussed. Offers Software Application Framework for Sustainable Healthcare Includes feature case studies and real-world examples of IoT devices and technologies in use in healthcare settings Provide insight into the security risks associated with connected medical devices and the measures that can be taken to mitigate these risks. Discusses various integration strategies and technologies, including data interoperability standards, application programming interfaces (APIs), and other tools Contains discussions on emerging IoT technologies, such as blockchain and edge computing, as well as their potential applications in healthcare This book is for researchers, professionals and students interested in the latest advancements on Internal of Medical Things. 2026 selection and editorial matter, Balakrishnan C, Jayapriya J, Vinay M, Sanjeev Kumar Singh, Nadarajah Manivannan individual chapters, the contributors. -
Marketing intelligence, part B: AI, trust, and innovation in the modern business landscape
Digitalization has completely transformed marketing. It has changed consumption habits, consumer behaviour, and purchasing processes. This work provides the most up-to-date research on the challenges connected with the expanding ground of digitalization and marketing. 2025 Mudita Sinha, Arabinda Bhandari, Samant Shant Priya and Sajal Kabiraj. All rights reserved. -
Marketing intelligence, part A: Understanding customers in the era of digitalization
Digitalization has completely transformed marketing. It has changed consumption habits, consumer behaviour, and purchasing processes. This work provides the most up-to-date research on the challenges connected with the expanding ground of digitalization and marketing. 2025 Mudita Sinha, Arabinda Bhandari, Samant Shant Priya and Sajal Kabiraj. All rights reserved. -
Integrated Holistic Mental Healthcare
Integrated Holistic Mental Healthcare: Bridging Minds and Technology is a groundbreaking resource that unites traditional holistic practices with cutting-edge digital innovations to enhance mental health treatment. This comprehensive guide is tailored for mental health professionals seeking practical strategies to improve care efficacy and accessibility. The book begins with foundational concepts of holistic mental health and emphasizes the essential role of mindfulness and meditation as core components of effective care. It explores how technology can complement holistic practices, facilitating behavioral change and habit formation. Readers will discover how digital tools can expand access to mental healthcare through telehealth and virtual care models, while also addressing ethical considerations and stigma associated with mental health treatment. With insights into monitoring outcomes and case studies highlighting integrative approaches for specialized populations, this book equips readers to navigate the evolving mental health landscape. As it looks toward future trends, "Integrated Holistic Mental Healthcare" empowers individuals to enhance their well-being in a rapidly digitizing world, fostering a patient-centered care paradigm that honors both mind and technology. 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. -
Multimodal Learning Using Heterogeneous Data
Multimodal Learning Using Heterogeneous Data is a comprehensive guide to the emerging field of multimodal learning, which focuses on integrating diverse data types such as text, images, and audio within a unified framework. The book delves into the challenges and opportunities presented by multimodal data and offers insights into the foundations, techniques, and applications of this interdisciplinary approach. It is intended for researchers and practitioners interested in learning more about multimodal learning and is a valuable resource for those working on projects involving data analysis from multiple modalities. The book begins with a comprehensive introduction, focusing on multimodal learning's foundational principles and the intricacies of heterogeneous data. It then delves into feature extraction, fusion techniques, and deep learning architectures tailored for multimodal data. It also covers transfer learning, pre-processing challenges, and cross-modal information retrieval. The book highlights the application of multimodal learning in specialized contexts such as sentiment analysis, data generation, medical imaging, and ethical considerations. Real-world case studies are woven into the narrative, illuminating the applications of multimodal learning in diverse domains such as natural language processing, multimedia content analysis, autonomous systems, and cognitive computing. The book concludes with an insightful exploration of multimodal data analytics across social media, surveillance, user behavior, and a forward-looking examination of future trends and practical implementations. As a collective resource, Multimodal Learning Using Heterogeneous Data illuminates the powerful utility of multimodal learning to elevate machine learning tasks while also highlighting the need for innovative solutions and methodologies. The book acknowledges the challenges associated with deep learning and the growing importance of ethical considerations in the collection and analysis of multimodal data. Overall, Multimodal Learning Using Heterogeneous Data provides an expansive panorama of this rapidly evolving field, its potential for future research and application, and its vital role in shaping machine learning's evolution. 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. -
Membrane Technology for Water Purification
Anu K. Biju, Ashna Viswambharan, ... Sabu Thomas 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.. -
Metal and Metal Oxide Nanoparticles in Textile Applications
In today's consumer-driven market, textiles are valued not only for their aesthetic appeal but also for their functional protection properties. The use of nanoparticles for specialty finishing has emerged as a promising area in textile processing and engineering. Among these nanoparticles, inorganic metal and metal oxides are particularly significant due to their large surface area and high surface energy, allowing them to impart multifunctional properties to textiles. Metal and Metal Oxide Nanoparticles in Textile Applications serves as a comprehensive guide, offering authors a profound understanding of the application of various metal and metal oxide nanoparticles on textiles. The content is thoughtfully organized, beginning with the first five chapters providing insights into the introduction of metal nanoparticles, their conventional and advanced synthesis methods, and characterization techniques. Subsequently, the following eight chapters delve into the effects of different metal nanoparticles, such as Ag, Au, Cu, Al, Ti, and others, along with their oxides, on textiles. The final section of the book encompasses chapters covering metal nanocomposites, electrospinning techniques, toxicology considerations, branding applications, and the challenges and future prospects of metal nanoparticles on textiles. This title serves as an invaluable asset to academicians, scholars, researchers, and professionals in the industry. 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. -
Perovskite Photovoltaics: Basic to Advanced Concepts and Implementation
Perovskite Photovoltaics: Basic to Advanced Concepts and Implementation, Second Edition brings together the latest advances in perovskite photovoltaics, associated challenges and opportunities, and how to achieve further developments. This edition presents new topics and novel areas, including defect engineering, interface engineering, additive engineering, anti-solvents, single crystal perovskite solar cells, inorganic perovskites, optoelectronic characterization, and mathematical modeling of perovskite solar cells. In addition, the book contains a detailed analysis of the implementation and economic viability of perovskite solar cells, highlighting what photovoltaic devices need to be generated by low cost, non-toxic, earth abundant materials using environmentally-scalable processes. This book is a valuable resource for all those with an interest in perovskite solar cells, photovoltaics, and more broadly solar energy and renewable energy, including researchers, scientists, graduate students, engineers, R&D professionals, and other industry personnel. 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. -
Raman Spectroscopy Applied to Polymer Composites and Nanocomposites
Raman Spectroscopy Applied to Polymer Composites and Nanocomposites summarizes, in a comprehensive manner, recent research accomplishments in this important area. The book offers an in-depth study of the current state-of-the-art, covering the fundamentals and recent experimental developments. Almost all the characterization techniques coupled in situ with Raman spectroscopy are discussed in detail. The book also covers various aspects of polymer applications, as well as related topics in polymer composites and nanocomposites. Filled polymers, reinforced plastics, thermoplastics, thermosets, elastomers, and rubbers are also discussed. The book is designed to address all aspects of Raman spectroscopy with respect to polymers and measurements, along with experimental conditions. It contains numerous case study examples to illustrate how Raman spectroscopy coupled in situ with more classical techniques can be useful to enhance material performance. 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. -
Nanostructured Carbon Materials from Plant Extracts
Nanostructured Carbon Materials from Plant Extracts: Synthesis, Characterization, and Applications guides the reader through the preparation and utilization of carbon nanomaterials based on various biomass sources, including fruits, vegetables, leaves, pulp and other plant extracts. The book covers the fundamentals of nanostructured carbon materials and synthesis methods from a range of plant sources. Other chapters focus on characterization, analysis, simulation and modeling in order to prepare plant extract based carbon nanomaterials with the required properties. Final sections highlight key application areas, presenting methods and approaches to prepare these materials for specific uses. This book will be of interest to researchers and advanced students across nanomaterials, polymer science, composite science, sustainable materials, chemistry, chemical engineering, and materials science, as well as industrial scientists, engineers, and R&D professionals with an interest in sustainable carbon nanomaterials. 2025 Elsevier Inc. All rights reserved. -
The Synergistic Effect of Sustainable Business Practices on Corporate Performance
This book explores the intricate relationship between sustainable business practices and economic performance. By examining how companies can achieve financial benefits through the integration of environmental and social responsibility into their core strategies, this book seeks to bridge the gap between environmental and economic concerns. It demonstrates that sustainability is not merely a moral imperative but a strategic economic driver in the modern business landscape. The book provides valuable insights into how companies can align their economic goals with environmental and social responsibilities, leading to long-term financial success. Readers will also benefit from the practical applications and case studies that demonstrate the tangible financial benefits of sustainable business practices. Additionally, the book serves as a resource for implementing sustainability strategies within organizations, making it an indispensable guide for business leaders, policymakers, and academics seeking to navigate the complexities of modern economic and environmental challenges. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Handbook of Nutraceuticals: Science, Technology and Engineering
This book explores the complete development cycle of nutraceuticals and nano-nutraceuticals, with particular focus on manufacturing techniques and formulation strategies. It discusses their physicochemical behavior and presents innovative analytical characterization methods. The text also includes a variety of formulation approaches along with pharmacologic and pharmacokinetic evaluations. Several chapters address the controlled delivery of nutraceutical components, and the use of natural and biodegradable polymers in delivery systems is thoroughly reviewed. In vitro evaluation techniques for assessing nutrient delivery effectiveness are covered in detail, along with discussions on bioavailability, food additives, and encapsulation technologies. A dedicated chapter on the future of controlled-release technologies rounds out the volume. Springer Nature Switzerland AG 2026. -
Artificial Intelligence (AI) for IT Energy Efficiency and Green AI for Environment Sustainability
This volume approaches Artificial Intelligence for sustainability from two angles. First, it looks at AI systems themselves, which consume a surprising amount of energy to function, and examines ways they can be made more efficient and sustainable. Secondly, it examines how AI can be used to create efficiencies and make buildings, power grids, the manufacturing sector, and more sustainable. The chapters here also provide a comprehensive but compact overview of the latest in AI technologies and how they work. This volume will be useful to AI engineers, data scientists, software developers, academics, researchers, and more. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Innovations in Neurocognitive Rehabilitation: Harnessing Technology for Effective Therapy
Neurocognitive disorders, such as Alzheimer's disease, stroke, and traumatic brain injuries, have a significant global impact, causing significant challenges for healthcare systems and families. Traditional rehabilitation methods often do not effectively target the diverse and complex cognitive impairments associated with these illnesses. Technology facilitates personalized rehabilitation approaches, enhances patient engagement, and enables unbiased evaluations of progress. This book is particularly pertinent in an era of rapid technological advancement, as it presents exceptional opportunities to revolutionize neurorehabilitation techniques and improve patient outcomes. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Foundations of Criminal Forensic Neuropsychology: Bridging Mind, Law, and Criminal Justice
This volume, written by experts from academia, research institutions, police organizations, and private industry, tackles the most pressing challenges in the global security domain. Focusing on the protection of critical infrastructures, counterterrorism, cybercrime, and border security, this book examines how advanced ICT solutions can address emerging threats in the modern security landscape. It delves into the application of artificial intelligence, the dark web, and large-scale data analysis to combat serious and organized crime, manage disasters, and protect national security. Through a collection of case studies from over 30 large-scale research and development projects, this book provides practical insights into the operational challenges and security gaps faced by security professionals worldwide. It explores not only the theoretical aspects of global security but also identifies real-world solutions for contemporary issues such as cybercrime, border surveillance, and crisis management. The book offers a unique, multidisciplinary perspective on security policy, highlighting the complexities of securing critical infrastructures and combating global threats. By focusing on both the operational and technological aspects of security, it presents actionable insights for policy makers, security professionals, and researchers. This book is ideal for professionals and scholars in the fields of global security, cybersecurity, law enforcement, and public policy, as well as those interested in the evolving role of technology in safeguarding critical infrastructure and managing crises. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Rethinking the Police for a Better Future : Navigating Policing Challenges with Accountability and Trust
Rethinking the Police for a Better Future: Navigating Policing Challenges with Accountability and Trust is an authoritative collection of perspectives from scholars, practitioners, and policymakers around the globe. Edited by renowned experts in the field, this book offers a deep dive into the evolution of policing, its challenges, and the innovative reforms shaping its future. This volume tackles pressing issues like human rights in law enforcement, accountability, community trust, and the intersection of technology with policing practices. It addresses topics as diverse as crime prevention, mental health in policing, transnational crime, and the ethical implications of artificial intelligence and surveillance. With contributions from international thought leaders and a foreword by Professor Dilip K. Das, founder of the International Police Executive Symposium, this book bridges the gap between academic research and real-world policing challenges. A must-read for policymakers, law enforcement officials, academics, and anyone passionate about building transparent and accountable policing systems, this book is a call to action for fostering safer and more equitable communities worldwide. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Psychology Teaching and Learning: Innovations, Trends, and Best Practices
Deliver effective psychology education with proven strategies for diverse learners As psychology education evolves amid global shifts, educators need practical, evidence-based strategies that work across contexts. Psychology Teaching and Learning: Innovations, Trends, and Best Practices brings together international experts from twelve countries to address these challenges. Editors Aneesh Kumar and Rituparna Chakraborty have assembled leading voices in psychology education to provide actionable guidance for enhancing teaching effectiveness while promoting equity and inclusion. This volume explores the International Competencies for Undergraduate Psychology Model, culturally responsive pedagogy, online learning strategies, and innovative assessment approaches. Discover how to integrate artificial intelligence and cognitive science into teaching, implement open science pedagogy, and apply the megastudy method. The book addresses student well-being through emotional intelligence, resilience, self-compassion, and creating safe learning environments. Readers will discover: Evidence-based teaching strategies and assessment models proven to enhance effectiveness across diverse learning environments and cultural contexts worldwide International perspectives from psychology educators in twelve countries offering varied approaches to common challenges in contemporary psychology education Practical guidance on integrating emerging technologies like AI and intelligent tutoring systems into psychology teaching and learning experiences Frameworks for promoting student well-being including emotional intelligence development, resilience training, self-compassion, and creating psychologically safe classrooms Reflection questions and supplementary classroom resources in each chapter to facilitate immediate application and adaptation to your teaching context Whether you teach undergraduate courses, develop curricula, or train future educators, this book equips you with forward-thinking approaches to prepare students for real-world challenges. By bridging contemporary educational challenges with actionable strategies, it empowers you to transform your teaching practices. 2026 by John Wiley & Sons, Ltd. All rights reserved. -
AI Trust, Risk, and Security Management: Framework, Principles, and Practices
For industry practitioners, academic researchers, and governance professionals alike, this book offers both clarity and depth in one of the most important domains of modern technology. As AI matures, trust and risk management will define its success-and this book lays the groundwork for achieving that vision. As AI continues to permeate sectors ranging from healthcare to finance, ensuring that these systems are not only powerful but also accountable, transparent, and secure, is more critical than ever. This book offers a vital exploration into the intersection of trustworthiness, risk mitigation, and security governance in artificial intelligence systems, serving as a definitive guide for professionals, researchers, and policymakers striving to build, deploy, and manage AI responsibly in high-stakes environments. Using a comprehensive approach, it explores how to integrate technical safeguards, organizational practices, and regulatory alignment to manage the unique risks posed by AI, including algorithmic bias, data misuse, adversarial attacks, and opaque decision-making. The result is a strategic approach that not only identifies vulnerabilities, but also promotes resilient, auditable, and trustworthy AI ecosystems. At its core, AI TRiSM is a forward-looking concept that embraces the realities of AI in production environments. The framework moves beyond traditional static models of governance to propose dynamic, adaptive controls that evolve alongside AI systems. Through real-world case studies, the book outlines how tools like model cards, bias audits, and zero-trust architectures can be embedded into the AI development lifecycle. Readers will find the volume: Introduces concepts to stay ahead of regulations and build trustworthy AI systems that customers and stakeholders can rely on; Addresses security threats, bias, and compliance gaps to avoid costly AI failures; Explores proven frameworks and best practices to deploy AI responsibly and strategies to outperform; Provides comprehensive guidance through real-world case studies and contributions from industry and academia. Audience AI and machine learning engineers, data scientists, cybersecurity and risk management specialists, academics, researchers, and policymakers specializing in AI ethics, security, and risk management. 2026 Scrivener Publishing LLC. -
Drones for Transportation Logistics and Disaster Management
Explore the future of logistics and disaster management with this essential guide to the design, applications, and challenges of integrating advanced drone technology into intelligent transportation systems. Drones are quickly becoming an essential technology for navigating inaccessible areas, especially during emergency situations. However, the implementation of these drones requires strict standards, policies, and procedures. Currently, drones are being used in several industrial and service sectors, extending the possibilities of handling transportation and logistics. The future of transportation is based on unmanned vehicles, and it is important to identify their challenges and futuristic applications. Drones for Transportation Logistics and Disaster Management introduces the essential aspects of the technological advancement of drones, the challenges faced in current practices, and their advanced applications. The book describes future intelligent and resilient transportation systems backed by the Internet of Vehicle Things, the problems of big data analytics, and optimization techniques for in-house supply-chain management. Using a global multi-sector perspective, this volume will comprehensively cover essential components of drone systems, including their modeling, design, and maintenance, making it an essential guide for anyone looking to the future of disaster management. 2026 Scrivener Publishing LLC. -
Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin-an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical systems behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AIs capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience: This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals. 2024 Scrivener Publishing LLC.