Recent Advancement of IoT Devices in Pollution Control and Health Applications covers current developments in Internet of Things (IoT)-based pollution control, solid waste management, transportation, and healthcare systems. Because of its effects on physical and biological entities of the environment, the issue of environmental pollution and action has become a global concern. This guide highlights how environmental and health data from connected devices can be stored, analyzed, and eventually used—from developing indices for the state of environmental pollution, to diagnosing and treating patients and the role of IoT-based technology for pollution control. - Covers current developments in the field of Internet of Things (IoT)-based pollution control - Discusses the application of the Internet of Things (IoT) to monitoring industrial pollution from emissions, solid waste, and healthcare - Offers solutions for managing and mitigating the causes of pollution

The title of the book “Environment and Sustainable Development: Perspectives and Issues” itself represents that the book is having topics related to current environmental problems and its possible solutions. This edition of book focuses on the issues related to sustainable use and management of natural resources and e-waste management. Several methods to handle a wide spectrum of environmental issues are taken into account in numerous chapters. Climate change is one of the greatest challenges of the 21st century. Climate is changing across our planet, largely, as a result of human activities. Some of the book chapters also provide a holistic coverage of the climate change policies and role of India. Climate change and various infectious diseases, proposes a comprehensive set of solutions to resolve various issues related to environment. The impacts of climate change are becoming increasingly severe, natural resources are being depleted at an alarming rate, and the gap between the rich and poor is widening. The need for sustainable development has never been more pressing than present. Therefore, this book makes a valuable contribution to the ongoing conversation, challenges and opportunities around many critical issues. The chapter in the book explore a wide range of topics related to sustainability, including the role of renewable energy, the need for sustainable agriculture, the importance of community engagement, and the impact of climate change. The authors come from diverse academic and professional backgrounds, and they are expert at their disciplines. The authors come from diverse academic and professional background, and their insight provide a valuable contribution to the ongoing conservation around environmental protection and sustainable development. The editors of this book are to be commended for bringing together such a diverse group of contributors, and for presenting a balanced and nuanced exploration of these complex issues.

This book introduces recent wireless technologies and their impact on recent trends, applications, and opportunities. It explores the latest 6G, IoT, and Blockchain techniques with AI and evolutionary applications, showing how digital integration can be used to serve society. It explores the most important aspects of modern technologies, providing insights into the newest 6G technology and practices; covering the roles, responsibilities, and impact of IoT, 6G, and Blockchain practices to sustain the world economy. This book highlights the roles, responsibilities, and impact of IoT, 6G, and Blockchain and its practices. By describing the implementation strategies for Blockchain, IoT, and 6G, this book focuses on technologies related to the advancement in wireless ad-hoc networks and the current sustainability practices used in IoT. It offers popular use cases and case studies related to 6G, IoT, and Blockchain to provide a better understanding and covers the global approach towards the convergence of 6G, IoT, and Blockchain along with recent applications and future potential. The book is a reference for those working with 6G, IoT, AI, and its related application areas. Students at both the UG and PG levels in various departments such as manufacturing, electronics, telecommunications, computer science, other engineering fields, and information technology will be interested in this book. It is ideally designed for use by technology development, academicians, data scientists, industry professionals, researchers, and students.

The book covers a variety of topics in Information and Communications Technology (ICT) and their impact on innovation and business. The authors discuss various innovations, business and industrial motivations, and impact on humans and the interplay between those factors in terms of finance, demand, and competition. Topics discussed include the convergence of Machine to Machine (M2M), Internet of Things (IoT), Social, and Big Data. They also discuss AI and its integration into technologies from machine learning, predictive analytics, security software, to intelligent agents, and many more. Contributions come from academics and professionals around the world. Covers the most recent practices in ICT related topics pertaining to technological growth, innovation, and business; Presents a survey on the most recent technological areas revolutionizing how humans communicate and interact; Features four sections: IoT, Wireless Ad Hoc & Sensor Networks, Fog Computing, and Big Data Analytics.

The International Conference (EMTES 2022) is oriented to include the themes like Water Quality Management, Advanced Water Treatment, Advanced Wastewater Treatment, Assessment and Control of Air Pollution, Solid and Hazardous Waste Management, Prevention of Groundwater Contamination, Wetland Management/Phyto-remediation, Case studies in Industrial Pollution Control, Liquid waste management, recent advancement in engineering, technology and management for optimization of environmental issues, application of IOT and IT in remedial measure of Environment and sustainability, Health issues and safety.

In our world today, the pervasive threat of air, water, and soil contaminants has reached unprecedented levels, pushing ecosystems to the brink and causing harm to individuals worldwide. Despite numerous attempts by scholars to mitigate this crisis, we find ourselves in the infancy of understanding and combatting these pollutants. The lack of awareness among researchers regarding the types and extent of damage caused by contaminants further exacerbates the problem. This environmental dilemma calls for a transformative solution that not only identifies pollutants but also guides sustainable efforts to cleanse our vital ecosystems. Sensors for Environmental Monitoring, Identification, and Assessment is a groundbreaking book designed to revolutionize environmental research and provide a roadmap for tackling pollution head-on. This comprehensive guide is poised to make a significant impact on scholars, environmentalists, planners, researchers, industrialists, and academics globally. By delving into the diverse realms of environmental sensors, the book equips readers with the knowledge and tools necessary to identify pollutants in varied ecosystems and adopt sustainable approaches for cleanup. Its recommended topics cover critical areas such as indoor pollution, noise pollution, advancements in sensor technology, and the detection of pollutants in soil, water, air, and oceans.

The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.

The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.