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Navigating the self-service revolution with smart machines
The rise of smart machines transforms service interactions in various sectors, ushering in the self-service revolution. From AI-powered kiosks in airports to automated checkouts in retail and intelligent virtual assistants in banking, these technologies redefine convenience, efficiency, and customer expectations. As businesses adopt self-service solutions, the challenge lies in implementing the right technologies and ensuring they enhance the user experience. Navigating this revolution requires a careful balance between automation and human-centered design, where smart machines serve as tools to empower human interaction. Navigating the Self-Service Revolution With Smart Machines explores self-service technology as a transformative force in the retail landscape, scrutinizing its complexities, dualities, and far-reaching implications across diverse environments. It delves into the multifaceted nature of self-service technology, examining how its rise reshapes customer experiences, operational efficiencies, and business models in urban centers while contrasting these developments with the challenges in rural areas. This book covers topics such as machine learning, automation, consumer behavior, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Smart Systems for Disease Prediction: Advancements, Applications and Challenges
Smart Systems for Disease Prediction: Advancements, Applications and Challenges is a comprehensive book that explores the use of intelligent technologies to predict diseases accurately and efficiently. It covers a wide range of topics, including image and signal processing, behavioural analysis, and the integration of multimodal data in healthcare. The book examines the application of artificial intelligence, machine learning, and data analytics in creating predictive models for diseases. It also addresses the challenges, ethical considerations, and future directions in the field. This work emphasises the significant impact of intelligent systems on enabling early diagnosis, personalised medicine, and improving patient outcomes. 2026 S. Vijayalakshmi, Alwin Joseph, Naived George Eapen, Balamurugan Balusamy, Jagjit Singh Dhatterwal, and Kuldeep Singh Kaswan. -
Bioactive Compounds in Edible Flowers
Many societies have found various utilities of edible flowers. They give a more ornamental look, enhances the taste, and also enhances its nutritional value. Numerous studies conducted recently have shown that edible flowers are also rich in nutrients such as carbohydrates, proteins, fats, fibre, vitamins, minerals. These flowers also contain a variety of phytochemicals, including phenolics, flavonoids, carotenoids, terpenoids, alkaloids, and other compounds that have been shown to increase biological activities, such as antioxidant, antimicrobial and antidiabetic, anticancer, cardioprotective, hepatoprotective, and neuroprotective qualities. Edible flowers have now found their way into a number of industries, including as cosmeceuticals, functional foods, and nutraceuticals. The book provides information on the nutritional value, phytochemical makeup, and bioactivity of both wild and cultivated flowers. It also describes edible flowers in depth to make them better-known to consumers and the food business. Each chapter discusses the possible toxicological effects of floral components. 2026 Hosakatte Niranjana Murthy. -
Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems
This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further demonstrates how nature inspired metaheuristic algorithms have the potential to contribute to multiple United Nations sustainable development goals such as climate action, clean energy, and sustainable cities. This book: Discusses load balancing and demand response using nature-inspired optimization techniques Presents energy-efficient routing and scheduling, energy management, and optimization using metaheuristic algorithms Covers disease diagnosis, and prognosis using metaheuristic algorithms, drug discovery, and development using nature-inspired optimization techniques Explains waste reduction and recycling, image processing, and computer vision using nature-inspired optimization techniques Illustrates medical image analysis and segmentation using Ant Colony optimization, and Particle Swarm optimization techniques Nature-inspired Metaheuristic Algorithms is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology. 2025 selection and editorial matter, Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava and Prem Prakash Vuppuluri; individual chapters, the contributors. -
Quantum Algorithms for Enhancing Cybersecurity in Computational Intelligence in Healthcare
This book explores the exciting field of quantum computing, which is changing how we approach computation. It covers the basics, cybersecurity aspects, advanced machine learning techniques, and the many ways quantum computing can be used. Quantum computing is much more powerful than traditional computing. The book starts by explaining the core concepts like qubits, quantum gates, superposition, entanglement, quantum memory, and quantum parallelism. One important area is how quantum computing can improve machine learning for cybersecurity. It can handle huge amounts of data and find complex patterns faster than regular computers. This is especially useful for finding cyber threats in real time, such as spotting unusual activity in healthcare networks that might mean a security breach. Quantum machine learning can help healthcare organizations better defend against advanced cyberattacks that try to steal patient data. The book also looks at how quantum computing is changing cybersecurity itself. It discusses quantum cryptography, post-quantum cryptography, and secure communication, explaining how quantum computing is leading to new ways of encrypting data, detecting threats, and protecting information. Beyond cybersecurity, the book shows how quantum computing impacts many other fields, such as medicine, finance, materials science, and logistics. It is poised to revolutionize artificial intelligence (AI) in healthcare and many other sectors. Because quantum computing is constantly developing, with discoveries and new applications happening all the time, this book brings together researchers from universities and industries to share their latest findings. It aims to help shape the future of this technology. The book offers a solid foundation, detailed explanations of advanced techniques, and a fascinating look at how quantum computing is being used in the real world. As quantum computing becomes easier to access through new tools and cloud platforms, this book hopes to inspire new research in AI and spark innovative applications that were previously thought impossible. 2026 selection and editorial matter, Prateek Singhal, Pramod Kumar Mishra, and Mokhtar Mohammed Hasan; individual chapters, the contributors. All rights reserved. -
Cognitive Cloud Computing: Building Intelligent Systems for Tomorrow
This book serves as a comprehensive guide, covering the fundamentals of cloud computing, advanced concepts, and practical applications. Discusses cyber-physical systems, cloud integration for environmental management, and cloud security intelligence systems for sustainable operations. Presents case studies based on computational intelligence-based optimization for sustainable operations and cloud integration. Emphasizes how cloud computing revolutionizes traditional processes, enabling direct input of assembly details into a computation model, streamlining development cycles, and reducing costs. Bridges the gap between theory and practice by offering guidelines on problem encoding and implementation strategies, empowering readers to apply their acquired knowledge to solve complex industrial problems. Covers wireless security in the cloud era, mechatronics and cloud integration, and cloud-enabled manufacturing for eco-friendly operations. The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and information technology. 2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors. -
Nanotechnology For Medicine: From Fundamentals to Applications
Nanotechnology for Medicine is a multi-contributed book for the most recent and comprehensive information on the foundations and applications of nanotechnology in medicine. With the contribution of experts from across the globe, this edited book covers all the major areas of nanotechnology within the area of medicine. It surveys the principles, analysis, characterization, applications, and technology of nanomedicine for cancer treatment, antimicrobials, antibiotics, microbials, dentistry, gene therapy, biological therapies, ocular diseases, diagnostics, targeting of tumor cells, herbal sources, drug delivery, and biomedical and food and nutrition applications. The book also offers methodological considerations for toxicity, safety, and risk assessment. This book is a useful reference for nanotechnologists, nanoscientists, medical scientists, research fellows, graduates, and university libraries. 2026 selection and editorial matter, Sabu Thomas and Yarub Al-Douri. All rights reserved. -
Smart Cyber-Physical Systems: Innovations and Real-World Implications
Smart cyber-physical systems (SCPS) are revolutionizing the interaction between the physical and digital realms, driving innovation across diverse fields. This book provides an extensive overview of cutting-edge SCPS technologies, highlighting their applications, challenges, and transformative potential. Designed for researchers, professionals, and students, it offers foundational insights and advanced applications in urban planning, healthcare, transportation, finance, and cybersecurity. It also bridges the gap between theory and practice through real-world case studies and in-depth analysis, showcasing how SCPS address critical global challenges. This book: Provides a comprehensive introduction to SCPS, their components, and their applications in various domains and explores their role in enabling sustainable smart cities and urban planning Provides advanced SCPS-based solutions for optimizing supply chain logistics and route planning and real-world applications of SCPS in healthcare, including wearable technology and remote patient monitoring, and financial modeling, comparing investment indices using advanced techniques Discusses the integration of artificial intelligence and machine learning in autonomous vehicle systems and transportation Analyzes cybersecurity challenges in cryptocurrency and blockchain ecosystems Focuses on innovations in energy management, including smart grids and sustainable practices powered by SCPS, and explores adaptive human-machine interaction frameworks for enhanced decision-making. This book serves as a vital resource for understanding the transformative power of SCPS and inspires further research and development in this dynamic and rapidly evolving field. 2026 selection and editorial matter, Ramesh Chandra Poonia, Kamal Upreti and Mohammad S. Khan. All rights reserved. -
Big Data Analytics and Intelligent Applications for Smart and Secure Healthcare Services
The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence. This book: Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainability Highlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakers Discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems Includes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategies This volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics. 2025 selection and editorial matter, Kamal Upreti, Nishant Kumar, Mohammad Shabbir Alam, Mohammad Shahnawaz Nasir and Debabrata Samanta; individual chapters, the contributors. -
Multifunctional Inorganic Nanomaterials: Synthesis, Properties, and Applications
Multifunctional Inorganic Nanomaterials: Synthesis, Properties, and Applications focuses on the latest discoveries and advances in the field of inorganic nanomaterials dealing with synthesis, functionalization, morphology, and physio-chemical properties of 1D, 2D, and 3D advanced materials and their interdisciplinary applications. This book reveals the significance of understanding the synthesis methodologies in tuning the nano-size properties of inorganic materials using various parameters to functionalize to specific applications in a variety of sectors covering energy, environment, and health. 2026 selection and editorial matter, H. C. Ananda Murthy, Velumani Subramaniam, Mika Sillanp, R. Balachandran, and Gurumurthy Hegde; individual chapters, the contributors. -
Artificial intelligence for blockchain and cybersecurity powered IoT applications
The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper-proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity. 2025, Mariya Ouaissa, Mariyam Ouaissa, Zakaria Boulouard, Abhishek Kumar, Vandana Sharma and Keshav Kaushik. All rights reserved. -
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.