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Precision Agriculture for Sustainability
This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.
Sustainable Infrastructure Development
This book presents the select proceedings of the International Conference on Sustainable Infrastructure Development: Innovations and Advances (SIDIA 2020). The book addresses the issues of optimal resource allocation and utilization, construction cost minimization, budget optimization for infrastructure development in hilly terrain as well as plains, to ensure quality and safety with minimal environmental impact. The topics covered include planning, design and construction of sustainable infrastructure projects, policy and practices to be considered for the comprehensive development which is socially inclusive specifically in developing nations, transportation engineering and management whic...
Artificial Intelligence for Renewable Energy Systems
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and so...
Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms
COGNITIVE BEHAVIOR AND HUMAN COMPUTER INTERACTION BASED ON MACHINE LEARNING ALGORITHMS The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design. Human-computer interaction (HCI) is the academic discipline, which most of us think of as UI design, that focuses on how human beings and computers interact at ever-increasing levels of both complexity and simplicity. Because of the importance of the subject, this book aims to provide more relevant information that will be useful to students, academics, and rese...
6G Communication Network
This book focuses on 6G technology beyond 5G. The objective of next generation 6G wireless communications is to improve the benchmarks while simultaneously delivering additional services. Many widely expected future services, such as life‐critical services and wireless brain‐computer interactions, will be important to their success. This book presents the evolution of 6G technology, architecture, and implementation. This book provides a comprehensive overview of the theoretical and experimental modelling of 6G communication, providing detailed implementation issues and performance evaluation of emerging technologies along with research results, and networking methods. This book: • Cont...
Advanced Computer Science Applications
This new book brings together the most recent trends related to AI, machine learning, and network security. The chapters cover diverse topics on machine learning algorithms and security analytics, AI and machine learning, and ntework security applications. The volume presents a survey of speculative parallelism techniques, performance reviews, and efficient power consumption. The book also covers the concepts of IoT, security early detection for COVID-19, multimetric geoprahpical routing in VANETs, V2X communication in VANET, and optimization of congestion control scheme for VANETs. This book is a comprehensive take on recent applications and advancement in the field of computer science and will be of value to scientists, researchers, faculty, and students involved in research in the area of AI, machine learning, and network security.
Computational Optimization, Modeling, and Simulation for Engineering Applications
Modeling, simulation, and optimization are three critical components of modern design practice that have grown tremendously over the last few decades with the increased use of computer-aided designs in engineering and industry. This book takes a multidisciplinary approach to the trends and challenges of computational modeling, simulation, and optimization techniques and their applications in the field of engineering sciences. It presents practical case studies and illustrations of computational techniques on materials and manufacturing in a diverse selection of applications, such as for drug delivery systems, for refrigeration models, for polymer and aluminum metal matrix composites, for automotive and aircraft applications, and even for talent management strategies on retaining talented employees.
Decision-Making Models and Applications in Manufacturing Environments
Multi-criteria decision-making (MCDM) has gained vast popularity for its ability to help make decisions in the presence of various similar and conflicting choices.This new volume applies the MCDM theory to solving problems and challenges in manufacturing environments. It discusses using MCDM computational methods to evaluate and select the most optimal solution or method for real-world, real-time manufacutring engineering issues. It details the decision-making process in relation materials selection; identification, assessment, and evaluation of risk; sustainability assessment; selection of green suppliers; and more. The chapter authors demonstrate the application of myriad MCDM techniques i...
