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Smart Buildings Digitalization IoT and Energy Efficient Smart Buildings Architecture and Applications

Predictive Analytics in Smart Agriculture

Deregulated Electricity Structures and Smart Grids

Smart Grid Fundamentals Energy Generation Transmission and Distribution

Smart Computing and Self-Adaptive Systems

Vanadium Dioxide-Based Thermochromic Smart Windows

Convergence of IoT Blockchain and Computational Intelligence in Smart Cities

Big Data Analytics Framework for Smart Grids

Big Data Analytics Framework for Smart Grids

The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation transmission and distribution explains energy management systems artificial intelligence and machine learning–based computing. Presents a detailed state-of-the-art analysis of big data analytics and its uses in power grids Describes how the big data analytics framework has been used to display energy in two scenarios including a single house and a smart grid with thousands of smart meters Explores the role of the internet of things artificial intelligence and machine learning in smart grids Discusses edge analytics for integration of generation technologies and decision-making approaches in detail Examines research limitations and presents recommendations for further research to incorporate big data analytics into power system design and operational frameworks The text presents a comprehensive study and assessment of the state-of-the-art research and development related to the unique needs of electrical utility grids including operational technology storage processing and communication systems. It further discusses important topics such as complex adaptive power system self-healing power system smart transmission and distribution networks and smart metering infrastructure. It will serve as an ideal reference text for senior undergraduate graduate students and academic researchers in the areas such as electrical engineering electronics and communications engineering computer engineering and information technology. | Big Data Analytics Framework for Smart Grids

GBP 120.00
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Interoperability in IoT for Smart Systems

IoT and Big Data Analytics for Smart Cities A Global Perspective

Smart Buildings Digitalization Case Studies on Data Centers and Automation

Optoelectronics and Spintronics in Smart Thin Films

Smart Manufacturing Factory Artificial-Intelligence-Driven Customized Manufacturing

Handbook of Smart Manufacturing Forecasting the Future of Industry 4.0

Handbook of Smart Manufacturing Forecasting the Future of Industry 4.0

This handbook covers smart manufacturing development processing modifications and applications. It provides a complete understanding of the recent advancements in smart manufacturing through its various enabling manufacturing technologies and how industries and organizations can find the needed information on how to implement smart manufacturing towards sustainability of manufacturing practices. Handbook of Smart Manufacturing: Forecasting the Future of Industry 4. 0 covers all related advances in manufacturing such as the integration of reverse engineering with smart manufacturing industrial internet of things (IIoT) and artificial intelligence approaches including Artificial Neural Network Markov Decision Process and Heuristics Methodology. It offers smart manufacturing methods like 4D printing micro-manufacturing and processing of smart materials to assist the biomedical industries in the fabrication of human prostheses and implants. The handbook goes on to discuss how to accurately predict the requirements identify errors and make innovation for the manufacturing process more manageable by implementing various advanced technologies and solutions into the traditional manufacturing process. Strategies and algorithms used to incorporate smart manufacturing into different sectors are also highlighted within the handbook. This handbook is an invaluable resource for stakeholders industries professionals technocrats academics research scholars senior graduate students and human healthcare professionals. | Handbook of Smart Manufacturing Forecasting the Future of Industry 4. 0

GBP 150.00
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Advances in Urbanism Smart Cities and Sustainability

Advances in Urbanism Smart Cities and Sustainability

While technology is developing at a fast pace urban planners and cities are still behind in finding effective ways to use technology to address citizen’s needs. Multiple aspects of sustainable urbanism are brought together in this book along with advanced technologies and their connections to urban planning and management. It integrates urban studies smart cities AI IoT remote sensing and GIS. Highlights include land use planning spatial planning and ecosystem-based information to improve economic opportunities. Urban planners and engineers will understand the use of AI in disaster management and the use of GIS in finding suitable landfill sites for sustainable waste management. Features Explains the process of urban heritage conservation including the process of urban renewal and its regeneration and the role of citizens in urban renewal planning and management. Includes several case studies highlighting urban environmental problems and challenges in developed and developing countries and the ways for converting urban areas into smart cities. Focuses on urban resources the supply of energy in smart cities and their proper management practices. Introduces the role of remote sensing GIS and IoT in making a smart city and meeting sustainable goals. Analyzes unique case studies their challenges and obstacles and proposes a set of factors to understanding smart city initiatives and projects. | Advances in Urbanism Smart Cities and Sustainability

GBP 145.00
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Cloud IoT Systems for Smart Agricultural Engineering

Cloud IoT Systems for Smart Agricultural Engineering

Agriculture plays a vital role in a country’s growth. Modern-day technologies drive every domain toward smart systems. The use of traditional agricultural procedures to satisfy modern-day requirements is a challenging task. Cloud IoT Systems for Smart Agricultural Engineering provides substantial coverage of various challenges of the agriculture domain through modern technologies such as the Internet of Things (IoT) cloud computing and many more. This book offers various state-of-the-art procedures to be deployed in a wide range of agricultural activities. The concepts are discussed with the necessary implementations and clear examples. Necessary illustrations are depicted in the chapters to ensure the effective delivery of the proposed concepts. It presents the rapid advancement of the technologies in the existing agricultural model by applying the cloud IoT techniques. A wide variety of novel architectural solutions are discussed in various chapters of this book. This book provides comprehensive coverage of the most essential topics including: New approaches on urban and vertical farming Smart crop management for Indian farmers Smart livestock management Precision agriculture using geographical information systems Machine learning techniques combined with IoT for smart agriculture Effective use of drones in smart agriculture This book provides solutions for the diverse domain of problems in agricultural engineering. It can be used at the basic and intermediary levels for agricultural science and engineering graduate students researchers and practitioners.

GBP 145.00
1

6G-Enabled IoT and AI for Smart Healthcare Challenges Impact and Analysis

6G-Enabled IoT and AI for Smart Healthcare Challenges Impact and Analysis

In today’s era there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI. 6G-Enabled IoT and AI for Smart Healthcare: Challenges Impact and Analysis offers the fundamentals history reality and challenges faced in the smart healthcare industry today. It discusses the concepts tools and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment as well as research on the future prospects of the smart healthcare industry. This book: Offers the fundamentals history reality and the challenges faced in the smart healthcare industry Discusses the concepts tools and techniques of smart healthcare as well as the analysis used Details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems Presents applications of smart healthcare through various real-world examples Includes topics on security and privacy in 6G-enabled IoT as well as research and future prospectus of the smart healthcare industry Interested readers of this book will include anyone working in or involved in smart healthcare research which includes but is not limited to healthcare specialists computer science engineers electronics engineers systems engineers and pharmaceutical practitioners. | 6G-Enabled IoT and AI for Smart Healthcare Challenges Impact and Analysis

GBP 110.00
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Deregulated Electricity Market The Smart Grid Perspective

GBP 139.00
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Integration of IoT with Cloud Computing for Smart Applications

Smart Cities IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques

Smart Cities IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques

This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms. Smart Cities: AI IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements including activities of the public and private services as well as innovative ICT solutions computer vision IoT technologies data tools cloud services AR/VR technologies cybersecurity techniques treatment solution of the environmental water pollution and other intelligent devices for supporting sustainable living in the smart environment. The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book users will be able to handle the challenges and improvements of security for smart systems and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies solutions as well as designs of smart cities with advanced tools and techniques for students researchers engineers and academics. | Smart Cities IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques

GBP 110.00
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Concepts in Smart Societies Next-generation of Human Resources and Technologies

Smart Sensors for Industrial Applications

Smart Sensors for Industrial Applications

Sensor technologies are a rapidly growing area of interest in science and product design embracing developments in electronics photonics mechanics chemistry and biology. Their presence is widespread in everyday life where they are used to sense sound movement and optical or magnetic signals. The demand for portable and lightweight sensors is relentless in several industries from consumer electronics to biomedical engineering to the military. Smart Sensors for Industrial Applications brings together the latest research in smart sensors technology and exposes the reader to myriad applications that this technology has enabled. Organized into five parts the book explores: Photonics and optoelectronics sensors including developments in optical fibers Brillouin detection and Doppler effect analysis. Chapters also look at key applications such as oxygen detection directional discrimination and optical sensing. Infrared and thermal sensors such as Bragg gratings thin films and microbolometers. Contributors also cover temperature measurements in industrial conditions including sensing inside explosions. Magnetic and inductive sensors including magnetometers inductive coupling and ferro-fluidics. The book also discusses magnetic field and inductive current measurements in various industrial conditions such as on airplanes. Sound and ultrasound sensors including underwater acoustic modem vibrational spectroscopy and photoacoustics. Piezoresistive wireless and electrical sensors with applications in health monitoring agrofood and other industries. Featuring contributions by experts from around the world this book offers a comprehensive review of the groundbreaking technologies and the latest applications and trends in the field of smart sensors.

GBP 94.99
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