Metals in Water: Global Sources, Significance, and Treatment covers metal pollution in water, where they come from, their effects, and remediation processes. Sections overview heavy metals pollution, including their global health impacts and remediation measures. Geogenic and anthropogenic input of heavy metals in water are described, along with global case studies, step-by-step methods on remediation techniques, different detection sensors, and assessment practices of toxicity of heavy metals. The book focuses on recent research surrounding heavy metals' contamination in water resources and its impact across the globe. Chapters incorporate both theoretical and practical aspects and serve as baseline information for water resources studies. This book is useful for postgraduate students, teachers and researchers working in areas of water resources and pollution, hydrochemistry, environmental remediation and toxicology who are looking to understand the affects metals have on water, the environment and health, and also those looking for methods for remediation.

Hazardous Waste Management: An Overview of Advanced and Cost-Effective Solutions includes the latest practical knowledge and theoretical concepts for the treatment of hazardous wastes. The book covers five major themes, namely, ecological impact, waste management hierarchy, hazardous waste characteristics and regulations, hazardous wastes management, and future scope of hazardous waste management. It serves as a comprehensive and advanced reference for undergraduate students, researchers and practitioners in the field of hazardous wastes and focuses on the latest emerging research in the management of hazardous waste, the direction in which this branch is developing as well as future prospects. The book deals with all these components in-depth, however, particular attention is given to management techniques and cost-effective, economically feasible solutions for hazardous wastes released from various sources.

Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks.

Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making. Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.

While digital transformations are happening in all walks of society and business, there is real potential for improving the quality of life of the elderly using digital methods and tools. Digital health promises to deliver better healthcare quality cost-efficiently to more people, especially in the case of lifestyle diseases such as diabetes. It will achieve this by combining the benefits of telehealth, eHealth, data-driven personalised healthcare, and evidence-based care. This book presents a discussion of evolving digital technologies, such as smart phones and assisted living, and innovative digitally based services that are helping improve the quality and cost of healthcare for the elderly. This book evolved from a recent multi-country and multi-disciplinary initiative called Digital Health for the Ageing Population. This project (2019-2021) aimed at promoting general awareness of digital health for ageing populations with collaborative research across several countries including Australia, Bangladesh, China, India, Japan, Norway, The Netherlands, and USA. With its international scope and detailed coverage of relevant digital methods and tools, this book will benefit healthcare technologists, ICT developers, managers of healthcare and mobile healthcare projects, and academic researchers working in related fields.

This edited book explores the use of mobile technologies such as phones, drones, robots, apps, and wearable monitoring devices for improving access to healthcare for socially disadvantaged populations in remote, rural or developing regions. This book brings together examples of large scale, international projects from developing regions of China and Belt and Road countries from researchers in Australia, Bangladesh, Denmark, Norway, Japan, Spain, Thailand and China. The chapters discuss the challenges presented to those seeking to deploy emerging mobile technologies (e.g., smartphones, IoT, drones, robots etc.) for healthcare (mHealth) in developing countries and discuss the solutions undertaken in these case study projects. This book brings together joint work in mHealth projects across multiple disciplines (software, healthcare, mobile communications, entrepreneurship and business and social development). Bringing together research from different institutions and disciplines, the editors illustrate the technical and entrepreneurial aspects of using mobile technologies for healthcare development in remote regions. Chapters are grouped into five key themes: the global challenge, portable health clinics, sustainable and resilient mHealth services, mHealth for the elderly, and mHealth for chronic illnesses. The book will be of particular interest to engineers, entrepreneurs, NGOs and researchers working in healthcare in sustainable development settings.

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines.

The current trend of learner centeredness in education has been challenging many of the current ways of working, especially in higher education institutions. This rapid change in educational institutions demands educators acquire new sets of skills via continuous reflective practices. Hence, educators in higher education institutions are actively involved in research-driven teaching and learning practices. This change of role from mere content delivery to learning facilitators could be better achieved through a strong research-driven community of practice. Preparing 21st Century Teachers for Teach Less, Learn More (TLLM) Pedagogies is a pivotal reference source that provides vital research on the application of practice-based learning techniques in higher education institutions. This publication establishes a platform for academics to share their best practices to promote teach less, learn more pedagogies and learn reciprocally from the community of practice. While highlighting topics such as interactive learning, experiential technology, and logical thinking skills, this book is ideally designed for teachers, instructional designers, higher education faculty, deans, researchers, professionals, universities, academicians, and students seeking current research on transformative learning and future teaching practices.

Sequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it allows individuals to search for a particular value or event and also facilitates analysis of the frequency of certain events or sets of related events. Finding patterns in sequences is of utmost importance in many areas of science, engineering, and business scenarios. Pattern Discovery Using Sequence Data Mining: Applications and Studies provides a comprehensive view of sequence mining techniques and presents current research and case studies in pattern discovery in sequential data by researchers and practitioners. This research identifies industry applications introduced by various sequence mining approaches.

The book, 'Laser Physics and Technology', addresses fundamentals of laser physics, representative laser systems and techniques, and some important applications of lasers. The present volume is a collection of articles based on some of the lectures delivered at the School on 'Laser Physics and Technology' organized at Raja Ramanna Centre for Advanced Technology during March, 12-30, 2012. The objective of the School was to provide an in-depth knowledge of the important aspects of laser physics and technology to doctoral students and young researchers and motivate them for further work in this area. In keeping with this objective, the fourteen chapters, written by leading Indian experts, based on the lectures delivered by them at the School, provide along with class room type coverage of the fundamentals of the field, a brief review of the current status of the field. The book will be useful for doctoral students and young scientists who are embarking on a research in this area as well as to professionals who would be interested in knowing the current state of the field particularly in Indian context.

The volume, complexity, and irregularity of computational data in modern algorithms and simulations necessitates an unorthodox approach to computing. Understanding the facets and possibilities of soft computing algorithms is necessary for the accurate and timely processing of complex data. Research Advances in the Integration of Big Data and Smart Computing builds on the available literature in the realm of Big Data while providing further research opportunities in this dynamic field. This publication provides the resources necessary for technology developers, scientists, and policymakers to adopt and implement new paradigms in computational methods across the globe. The chapters in this publication advance the body of knowledge on soft computing techniques through topics such as transmission control protocol for mobile ad hoc networks, feature extraction, comparative analysis of filtering techniques, big data in economic policy, and advanced dimensionality reduction methods.

In recent decades, significant advances in new methodologies like DNA sequencing and high-throughput sequencing have been used to identify microorganisms and monitor their interactions with different environments. Microbial genomics techniques are opening new approaches to microbiology by revealing how microorganisms affect human beings and the environment. This book covers four major areas: 1) Environmental microbial genomics, 2) Microbial genomics in human health, 3) Microbial genomics in crop improvement and plant health protection, and 4) Genome analysis of microbial pathogens. Within these areas, the topics addressed include: microbial genome diversity, evolution, and microbial genome sequencing; bioinformatics and microarray-based genomic technologies; functional genomics of bioremediation of soil and water from organic and inorganic pollutants and carbon management; functional genomics of microbial pathogens and relevant microorganisms; functional genomics of model microorganisms; and applied functional genomics. Given its scope, the book offers a comprehensive source of information on the latest applications of microorganisms and microbial genomics to enhance the sustainability of agriculture and the environment.

In the event of a disastrous event leading to the loss of communication networks, ad-hoc networks are a potent wireless communication resource because of their unique features including being quickly deployable and having a distributed nature, large coverage area, reduced cost, and more. Flying ad-hoc networks (FANETS) and vehicular ad-hoc networks (VANETS) are the future technology and can solve many problems in e-commerce delivery through drones, agriculture, vaccine delivery, and more. The unique characteristics of these networks and special requirements have created new challenges for the research community in recent decades. Modelling and Simulation of Fast-Moving Ad-Hoc Networks (FANETs and VANETs) enhances the modelling and simulation aspects of FANETS and VANETS and understands the protocols in mac layer and network layers for fast-moving ad-hoc networks. It presents simulations run using various simulation tools and measures the performance metrics of ad-hoc networks. Covering topics such as emulation tools, secure communication, and modelling software, this premier reference source is an excellent resource for computer scientists, IT specialists, business leaders and managers, supply chain and logistics management, libraries, students, government officials, international organizations, law enforcement, engineers, agriculturalists, researchers, and academicians.

Enterprises all over the world are experiencing a rapid development of networked computing for applications that are required for the daily survival of an organization. Client-server computing offers great potential for cost-effective networked computing. However, many organizations have now learned that the cost of maintenance and support of these networked distributed systems far exceeds the cost of buying them. Computer Supported Creative Work (CSCW) is the new evolving area that promotes the understanding of business processes and relevant communication technologies. Cooperative Management of Enterprise Networks uses CSCW as the medium for conveying ideas on the integration of business processes with network and systems management. This book will be useful for systems management professionals wishing to know about business process integration; business managers wishing to integrate their tasks with network/systems management; software system developers wishing to adopt participatory design practices; and students and researchers.

This book features selected papers presented at the 4th International Conference on Recent Innovations in Computing (ICRIC 2021), held on June 8-9, 2021 by Eoetvoes Lorand University (ELTE), Budapest, Hungary in association with many Universities; WSG Poland, Knowledge University, ERBIL. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.

This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.

This book features selected papers presented at the 3rd International Conference on Recent Innovations in Computing (ICRIC 2020), held on 20-21 March 2020 at the Central University of Jammu, India, and organized by the university's Department of Computer Science & Information Technology. It includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

This book comprises select proceedings of the international conference ETAEERE 2020. This volume covers latest research in advanced approaches in automation, control based devices, and adaptive learning mechanisms. The contents discuss the complex operations and behaviors of different systems or machines in different environments. Some of the areas covered include control of linear and nonlinear systems, intelligent systems, stochastic control, knowledge-based systems applications, fault diagnosis and tolerant control, and real-time control applications. The contents of this volume can be useful for researchers as well as professionals working in control and automation.

This book provides a comprehensive and balanced description of learning and teaching by connecting it to secondary and higher education teachers' experiences and practices in day-to-day life. Woven around research conducted by educationists, psychologists, and practitioners around the globe, this book presents key concepts and addresses significant discussions and concerns with regard to learning and teaching in the present age. Seeking to help teachers understand learners' learning needs, preferences, and styles and manage their teaching plans, priorities, and practices accordingly, it details the main ideas and emerging practices related to learning and teaching in a very easy to 'read, understand, and practice' way. The first five chapters approach learning from different perspectives, while the next six explain in detail how to practice teaching to maximize learning outcomes. Combining the traditional textbook-style approach of content description with a self-learning approach based on various real-world situations and activities related to both learning and teaching, this textbook is particularly valuable for teachers in school education, higher education, and teacher education. This book is also an essential resource for fulfilling teachers' continuing professional development requirements. Although intended for teachers worldwide, the book especially helps teachers in South Asian countries to improve learning outcomes in their classrooms and, subsequently, the quality of their education systems.