Browse Items (169 total)
Sort by:
-
Smart Textiles and Wearables for Health and Fitness
Smart Textiles and Wearables for Health and Fitness provides an in-depth exploration of how innovative technologies and materials are reshaping healthcare, making it an essential resource for anyone looking to understand the transformative power of smart textiles and wearables in patient monitoring, diagnosis, and rehabilitation. Smart Textiles and Wearables for Health and Fitness explores the transformative influence of flexible electronics on the healthcare field. The books chapters include a broad spectrum of topics, each offering valuable perspectives on the intersection of textiles, wearables, and health technology. Smart Textiles and Wearables for Health and Fitness delves into the unique technologies and materials driving the flexible electronics revolution, offering insights into their development and applications. The study explores the diverse uses of intelligent textiles and wearable devices in healthcare, encompassing activities such as monitoring patients, diagnosing conditions, aiding rehabilitation, and administering therapeutic interventions. In this volume, we will explore the incorporation of sensors, biometrics, and biomarkers into textiles to showcase their capacity for immediate health monitoring and data collection. Additionally, we will explore the possible uses of smart textiles and wearables in managing chronic conditions, tracking sports and fitness activities, and facilitating human-computer interaction in medical settings. This book promises an engaging journey through the frontiers of technology, offering a comprehensive understanding of the transformative potential of smart textiles and wearables in revolutionizing healthcare delivery and improving patient outcomes. 2025 Scrivener Publishing LLC. -
Augmented and Virtual Reality in Immersive Healthcare
Future-proof your medical expertise with this indispensable guide that offers a comprehensive, expert-led exploration of how Augmented and Virtual Reality (AR/VR) are revolutionizing healthcare. Augmented reality (AR) and virtual reality (VR) have profoundly impacted the healthcare sector, introducing ground-breaking applications ranging from surgical simulations and pain management to mental health therapies and patient education. This book delves into the various applications of AR and VR, including deep learning, surgical training, teleconsultation, and patient rehabilitation. By blending theoretical insights with practical case studies, it provides a deeper understanding of how these technologies are being integrated into medical practices to improve outcomes, enhance patient care, and train healthcare professionals. It also explores cutting-edge developments, such as AI-powered AR systems and VR-based mental health treatments, highlighting the future of healthcare innovation. With contributions from leading experts in healthcare, technology, and academia, this book offers a multidimensional perspective on the challenges and opportunities associated with AR and VR in the medical field. Through its accessible language and detailed illustrations, this book is an indispensable guide for anyone interested in the intersection of technology and medicine. Readers will find the volume: Provides a comprehensive exploration of how immersive technology is unlocking new possibilities in healthcare, education, and rehabilitation; Offers insights from top researchers and practitioners in the field, providing authoritative perspectives on the latest technologies, applications, and trends shaping the future of XR; Offers practical guidance and actionable insights to help you harness the power of AR and VR, accelerating innovation and driving real-world impacts; Uncovers the diverse range of applications empowered by the convergence of healthcare and gamification, revolutionizing healthcare delivery and improving patient outcomes. Audience Healthcare professionals, medical educators and students, engineers, developers, researchers, and policymakers looking for cutting-edge technologies to enhance patient care and treatment outcomes. 2026 Scrivener Publishing LLC. -
Graph Theory in Computer Science
This book is a vital resource for anyone looking to understand the essential role of graph theory as the unifying thread that connects and provides innovative solutions across a wide spectrum of modern computer science disciplines. Graph theory is a traditional mathematical discipline that has evolved as a basic tool for modeling and analyzing the complex relationships between different technological landscapes. Graph theory helps explain the semantic and syntactic relationships in natural language processing, a technology behind many businesses. Disciplinary and industry developments are seeing a major transition towards more interconnected and data-driven decision-making, and the application of graph theory will facilitate this transition. Disciplines such as parallel and distributive computing will gain insights into how graph theory can help with resource optimization and job scheduling, creating considerable change in the design and development of scalable systems. This book provides comprehensive coverage of how graph theory acts as the thread that connects different areas of computer science to create innovative solutions to modern technological problems. Using a multi-faceted approach, the book explores the fundamentals and role of graph theory in molding complex computational processes across a wide spectrum of computer science. 2026 Scrivener Publishing LLC. -
Nano-biosensor technologies for diagnosis of infectious diseases
The book offers a thorough exploration of revolutionary nano-biosensor technologies that enables rapid, accurate detection of infectious diseases, critical for effective disease management in today's world. Nano-Biosensor Technologies for Diagnosis of Infectious Diseases delves into the cutting-edge developments in nano-biosensor technology, a transformative innovation for the field of medical diagnostics. Nano-biosensors integrate nanomaterials like nanoparticles, nanowires, and nanotubes with biological recognition elements such as antibodies, nucleic acids, or enzymes to create highly sensitive and specific detection systems. These sensors exploit unique properties of nanomaterials to detect minute quantities of pathogens or biomarkers with remarkable accuracy, enabling early diagnosis and monitoring of infectious diseases. The integration of electrochemical, optical, and piezoelectric detection mechanisms further enhances the versatility and efficiency of these nano-biosensors, allowing for rapid, real-time analysis that is crucial for effective disease management. In the context of infectious diseases, nano-biosensors become particularly significant, as they can facilitate point-of-care testing (POCT), offering rapid and portable diagnostic solutions. This capability is invaluable in resource-limited settings and during outbreaks where traditional laboratory infrastructure may be lacking. The COVID-19 pandemic underscores the importance of swift and accurate diagnostic tools, spurring accelerated innovation and commercialization efforts in this domain. Nano-biosensors are now being developed and deployed to detect a wide range of pathogens with high sensitivity, providing a powerful tool in the global fight against infectious diseases. Nano-Biosensor Technologies for Diagnosis of Infectious Diseases provides a comprehensive overview of these technological advancements, exploring their applications, challenges, and future directions in the diagnosis and management of infectious diseases. 2025 Scrivener Publishing LLC. All rights reserved. -
Metaverse for Sustainable Development: Trends and Applications
Unlock the future of technology and sustainable development by purchasing Metaverse for Sustainable Development: Trends and Applications, a comprehensive guide that delves into immersive application building, groundbreaking innovations, and the transformative potential of the metaverse across various industries. Metaverse for Sustainable Development: Trends and Applications explains the fine details of metaverse application building, demonstrating how integrated platforms in association with a suite of tools come in handy for enabling application construction. The metaverse is the next big thing influenced by virtual and augmented reality paradigms. This user experience will be more immersive and mesmerizing, empowering innovative, disruptive, and transformative technologies to create a spectacular platform for visualizing and realizing business-critical and people-centric metaverse systems. This book explores various metaverse models for healthcare information systems, including the latest technologies, such as the Brain-Computer Interface. Through real-world data and case studies, readers will gain a comprehensive understanding of the metaverses potential for the Internet of Things, blockchain, artificial intelligence, 5G, and 3D modelling for creating and sustaining immersive virtual worlds. Metaverse for Sustainable Development: Trends and Applications is a vital resource for understanding the end-to-end implementation of metaverse technologies. 2025 Scrivener Publishing LLC. -
Sustainable Nanomaterials for Treatment and Diagnosis of Infectious Diseases
The book focuses on the design and novel synthetic routes of sustainable nanomaterials in diagnosing and treating infectious diseases offering potential benefits in terms of efficiency, biocompatibility, and environmental impact. The fifteen chapters in this book provide a comprehensive exploration of how sustainable nanotechnology can revolutionize infectious disease management and bridge the gap between the fundamental principles of nanotechnology and their practical applications in combating infectious diseases. Subjects covered include: the rise of multidrug-resistant pathogens and the limitations of existing therapies; the challenges of infectious disease management including the rise of multidrug-resistant pathogens and the limitations of existing therapies; nano-pharmacology and pharmacotherapeutics in the treatment of infectious diseases; the advancements in nanomaterial-based drug delivery systems, vaccines, and diagnostic tools, and the future of personalized medicine; nanotheranostic mechanisms outlining how nanomaterials can be engineered to simultaneously diagnose and treat infections; nano drug delivery systems that contribute to enhancing the efficacy and precision of treatment modalities; biocompatibility and toxicity of nanomaterials in the diagnosis and treatment of infectious diseases; regulatory perspectives of nanomaterials ensuring they meet safety and efficacy standards; green synthesis of reduced graphene oxide, carbon dots, and its composites for infectious diseases and biosurfactants; nanomaterials of polymeric design underscoring their potential to create more effective and sustainable therapeutic options; how nanomaterials can be engineered to simultaneously diagnose and treat infections. Audience The book targets nanotechnology researchers, scientists, and healthcare professionals interested in understanding nanotechnologys critical role in sustainable healthcare solutions. 2025 Scrivener Publishing LLC. -
INTERNATIONAL CASES IN FORENSIC PSYCHOLOGY: Inside the Criminal Mind
This book provides an in-depth investigation of different psychological phenomena in forensic psychology through an analysis of key case studies in the field. There is a growing requirement for a comprehensive resource that provides practical examples of how forensic psychology models are applied in real-life situations. Filling this lacuna, International Cases in Forensic Psychology takes the reader through a series of prominent case studies that illustrate the intricate details of criminal investigations, judicial proceedings, and correctional settings. Drawing on a diverse range of examples from the US, UK, Belgium, Russia, Columbia, Germany, and India which include serial murder, financial deception, and maternal psychosis, Dr. K. Jayasankara Reddy applies psychological theories and methods to understand the intricacies of criminal conduct. These theories range from criminal profiling and behavioral analysis, to the psychology of deceit and the dynamics of influence. Overall, the book will enhance the readers ability to analyze the fundamental reasons behind criminal behaviour and develop more efficient approaches for rehabilitating offenders. International Cases in Forensic Psychology will be of great interest to students and professionals of forensic psychology, neuropsychology, criminal justice, and related fields. 2025 K. Jayasankara Reddy. -
Entrepreneurship Education: Experiments with Curriculum, Pedagogy and Target Groups
The book provides an overview of developments in the field of entrepreneurship education, with special reference to global perspectives on innovations and best practices, as well as research in the emerging economy context. It focuses on various experiments in curriculum design, review and reform in addition to the innovative processes adopted for developing new content for entrepreneurship courses, in many cases with an assessment of their impact on students' entrepreneurial performance. Further, it discusses the pedagogical methods introduced by teachers and trainers to enhance the effectiveness of students' learning and their development as future entrepreneurs. It explains the various initiatives generally undertaken to broaden the scope of entrepreneurship education by extending it beyond regular students and offering it to other groups such as professionals, technicians, artisans, war veterans, and the unemployed. The book is a valuable resource for researchers and academics working in the field of entrepreneurship education as well as for trainers, consultants, mentors and policy makers. Springer Nature Singapore Pte Ltd. 2017. All rights are reserved. -
(Hi)stories of desire: Sexualities and culture in modern India
(Hi)Stories of Desire situates questions of sexuality in the larger domain where they are conditioned by and, in turn, also condition historically and culturally produced landscapes of being, doing and desiring. The book draws upon multi-disciplinary frameworks of analysis - including history, anthropology, literary studies, queer studies and psychoanalysis - to provide a pan-Indian account of the making of sexual cultures. Based on original research, the chapters foreground sexuality as a significant site for the making of regional, national and personal modernities. The volume addresses the modern paradox where sexuality is assigned a central significance in human life and yet its study tends to remain unconnected from the political, religious, social and economic contexts that produce human subjectivity. It will be of interest to a wide range of readership, opening up the topic to complex yet accessible ways of understanding the culture of sexualities and the sexuality of culture. Indian Institute of Advanced Studies, Shimla 2020. -
Advanced Machine Vision Paradigms for Medical Image Analysis
Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. 2020 Elsevier Inc. All rights reserved. -
Intelligent Environmental Data Monitoring for Pollution Management: A volume in Intelligent Data-Centric Systems
Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization. To learn more about Elseviers Series, Intelligent Data-Centric Systems, please visit this link: https://www.elsevier.com/books-and-journals/book-series/intelligent-data-centric-systems-sensor-collected-intelligence. 2021 Elsevier Inc. All rights reserved. -
Hybrid Computational Intelligence: Challenges and Applications
Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. 2020 Elsevier Inc. -
Quantum machine learning
Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. New trends in Machine Learning based on Quantum Computing and Quantum Algorithms Examples on real life applications Illustrative diagrams and coding examples. 2020 Walter de Gruyter GmbH, Berlin/Boston. All rights reserved. -
Deep learning: Research and applications
This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition. Tutorials on deep learning framework with focus on tensor flow, keras etc. Numerous worked out examples on real life applications Illustrative diagrams and coding examples. 2020 Walter de Gruyter GmbH, Berlin/Boston. All rights reserved. -
Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications
The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. 2021 Elsevier Inc. All rights reserved. -
Quality of Life: An Interdisciplinary Perspective
Quality of Life: An Interdisciplinary Perspective presents the Quality of Life using a contemporary and interdisciplinary approach. Various socio-cultural, spiritual, technological, and human factors aspects, which have an immense bearing on our lives, are an integral part of this book. This book highlights cultural differences in terms of Quality of Life. It recognizes the presence of cultural differences resulting from the social status attributed to an individuals age, gender, class, race, and ethnicity. It can be used as a guide in the field of global well-being and for future research. It presents clues to complex problems and empirical materials, and attempts to bring out a more comprehensive picture of global and contemporary Quality of Life and well-being. This book can also fill a gap in teaching and research. Those who will find this book useful are researchers, academicians, practitioners, and students of management, behavioral science, human factors, psychology, health economics, sociology, public health, and politics. 2022 Taylor & Francis Group, LLC. -
Strategic Management During a Pandemic
The COVID- 19 pandemic changed world dynamics, working scenarios, as well as professional and emotional dimensions. The virus has emerged as a significant threat for the continuity of business. Keeping the gravity of the problem in mind, companies must understand the need for change and must now update their strategy to account for pandemics. The next pandemic may be more severe than the current one, meaning that organizations need to devise mechanisms and business models to fight with these situations and maintain business continuity. They should not only look forward to saving plants, machinery and infrastructure, but also concentrate on employee welfare, customer engagement and satisfaction during this crisis time. The book will not only present the evidence of various effective solutions to run a business in the time of a pandemic, but also put forward the new models and practices of business being followed by people at the time of crisis. It aims to create a bridge between existing business models and proposed business solutions, focusing on existing theories and most importantly case studies from the recent happenings. This rich collection of chapters will provide insights regarding the business challenges, opportunities and practices during pandemic situations like COVID- 19, making it particularly valuable to researchers, academics and students in the fields of strategic management, leadership and disaster management. 2022 selection and editorial matter, Vikas Kumar and Gaurav Gupta. -
Intelligent Multi-modal Data Processing
A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors noted experts on the topic offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing. 2021 John Wiley & Sons Ltd. All rights reserved. -
Statistical modelling of software source code
This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues. Statistic tool for the software engineer. 2021 Walter de Gruyter GmbH, Berlin/Boston. -
Smart healthcare system design: Security and privacy aspects
SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (IoT) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the IoT has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the IoT connects cyberspace to physical space, known as a cyber-physical system, IoT attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security. The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies. Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. Audience: Researchers and industry engineers in information technology, artificial intelligence, cyber security, as well as designers of healthcare systems, will find this book very valuable. 2021 Scrivener Publishing LLC. All rights reserved.