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The aim of this book is to highlight the most promising lines of research, using new enabling technologies and methods based on AI/ML techniques to solve issues and challenges related to intelligent and computing systems. Intelligent computing easily collects data using smart technological applications like IoT-based wireless networks, digital healthcare, transportation, blockchain, 5.0 industry and deep learning for better decision making. AI enabled networks will be integrated in smart cities'concept for interconnectivity. Wireless networks will play an important role. The digital era of computational intelligence will change the dynamics and lifestyle of human beings. Future networks will be introduced with the help of AI technology to implement cognition in real-world applications. Cyber threats are dangerous to encode information from network. Therefore, AI-Intrusion detection systems need to be designed for identification of unwanted data traffic.This book: Provides a better understanding of artificial intelligence-based applications for future smart cities Presents a detailed understanding of artificial intelligence tools for intelligent technologies Showcases intelligent computing technologies in obtaining optimal solutions using artificial intelligence Discusses energy-efficient routing protocols using artificial intelligence for Flying ad-hoc networks (FANETs) Covers machine learning-based Intrusion detection system (IDS) for smart grid It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Biostimulants (a diverse class of compounds including substances or microorganisms) are helpful in sustainable plants growth and development. They accelerate plant growth, yield, and chemical composition even under unfavorable conditions. The main biostimulants are nitrogen-containing compounds, humic materials, some specific compounds released by microbes, plants, and animals, various seaweed extracts, bio-based nanomaterials, phosphite, silicon, and so on. Additionally, new generation products and bioproducts are being developed for sustainable plant growth and protection. Some research works in the area of biotechnology and nanobiotechnology have shown improved sustainable plant growth and production. The protective roles of biostimulants are varied depends on the compound and plant species. Exposure of biostimulants have shown accelerated plants growth and developmental processes for instance, manage stomatal conductance and rate of transpiration, and increase rate of photosynthesis etc. They also increased crop plants immune systems against the adverse situation. Thus, use of innovations of new generation biostimulants also enhance plant production systems, through a significant reduction of synthetic chemicals such as pesticides and fertilizers. Moreover, bioinoculants commercial products obtained from seaweed extract, humic acids, amino acids, fulvic acids, and some microbial inoculants have shown their potential role in adventitious root induction in plants. Microbial inoculants or microbial-based biostimulants, as a promising and eco-friendly technology, can be widely used to address environmental concerns and fulfill the need for developing sustainable or modern agriculture practices. They have great potential to elicit plant tolerance to various climate change-related stresses and thus enhance plant growth and overall performance-related features. However, for successful implementation biostimulants-based agriculture in the field under changing climate conditions, an understanding of plant functions and biostimulants interaction or action mechanisms coping with various abiotic as well as biotic stresses at the physicochemical, metabolic, and molecular levels is required. Mycorrhizae are beneficial fungi that form symbiotic associations with plants and aid in plant development, disease resistance, and soil health is well established. Similarly, phyllospheric microbiome are known to possess different plant growth promotion attributes like nitrogen fixation, phosphate solubilization, biocontrol activity, and increase plant resistance towards abiotic stresses. The plant growth promotion traits possessed by these phyllospheric microbiota can be judiciously harbored for phyllospheric and rhizospheric engineering. The engineered phyllospheric and rhizospheric microbiome can increase the plant growth and productivity, thereby, can act as a driving force for increasing the agricultural production in a sustainable manner. Taken together, this book aims to contribute to the recent understanding associated with the various role and application of biostimulants on different plant for their sustainable growth and management. - Discusses our current understanding of, and advances in, biostimulants, along with their application in plants growth performance and overall management - Explores new techniques, new generation products, and bioproducts - Highlights the role of seaweed extract, humic acids, protein hydrolysates, amino acids, melatonin, paramylon, fulvic acids, microbial inoculants (phyllospheric and rhizospheric), and more

This book gathers selected research papers presented at the 5th International Conference on Energy Systems, Drives, and Automation (ESDA 2022). It covers a broad range of topics in the fields of renewable energy, power management, drive systems for electrical machines, and automation. This book also comprehensively discusses related tools and techniques and is a valuable resource for researchers, professionals, and students in electrical and mechanical engineering disciplines.

This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2024). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.

This book provides readers with expert knowledge on the design of fast charging infrastructures and their planning in smart cities and communities to support autonomous transportation. The recent development of fast charging infrastructures using hybrid energy systems is examined, along with aspects of connected and autonomous vehicles (CAV) and their integration within transportation networks and city infrastructures. The book looks at challenges and opportunities for autonomous transportation, including connected and autonomous vehicles, shuttles, and their technology development and deployment within smart communities. Intelligent control strategies, architectures, and systems are also covered, along with intelligent data centers that ensure effective transportation networks during normal and emergency situations. Planning strategies are presented to demonstrate the resilient transportation infrastructures, and optimized performance is discussed in view of performance indicators andrequirements specifications, as well as regulations and standards.

Renewable Energy Production and Distribution: Recent Developments covers critical research and industry developments on renewable energy, including technological, production, conversion, storage and management. This updated volume provides recent developments in solar energy systems (thermal and photovoltaic), wind energy, hydropower, geothermal energy, bioenergy production and hydrogen production, with the addition of fuel cell technology for this new release. Technology advancements include resources assessment and deployment, materials performance improvement, system optimization and sizing, instrumentation and control, modeling and simulation, and regulations and policies. Each chapter examines advances in specific renewable energy systems, providing theoretical and applied aspects of system optimization, control and management. Global case studies demonstrate practical applications and economical and environmental aspects through lifecycle analysis. The book will be of interest to engineering graduates, researchers, professors and industry professionals involved in the renewable energy sector and advanced engineering courses dealing with renewable energy, sources, thermal and electrical energy production and sustainability. - Addresses the advantages and disadvantages of all renewable technologies - Includes global case studies that demonstrate the practical applications of renewable energy production and distribution - Features videos and slideshows in the online e-Book for application tutorials

This book provides fundamental principles of intelligent transport systems with comprehensive insight and state of the art of vehicles, vehicular technology, connecting vehicles, and intelligent vehicles/autonomous intelligent vehicles. The book discusses different approaches for multiple sensor-based multiple-objects tracking, in addition to blockchain-based solutions for building tamper-proof sensing devices. It introduces various algorithms for security, privacy, and trust for intelligent vehicles. This book countermeasures all the drawbacks and provides useful information to students, researchers, and scientific communities. It contains chapters from national and international experts and will be essential for researchers and advanced students from academia, and industry experts who are working on intelligent transportation systems.

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.

Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects. Examines the integration of hardware with stand-alone PV panels and real-time monitoring of factors affecting the efficiency of the PV panels Offers real-time implementation of soft computing and embedded system in the area of solar energy Discusses how soft computing plays a huge role in the prediction of efficiency of stand-alone and grid-connected solar PV systems Discusses how embedded system applications with smart monitoring can control and enhance the efficiency of stand-alone and grid-connected solar PV systems Explores swarm intelligence techniques for solar PV parameter estimation Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India. Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India. Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India). Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India.Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Disruption in Transportation, as some experts say, is here; so is this book at this critical inflection point in the history of transportation planning, engineering, and operations. With a focus on improving safety and maximizing available systems to accommodate all modes of travel, this work brings together an array of topics and themes on transportation technologies under the banner of Connected and Automated Vehicles (CAV). The emerging technology implementing entities, industry leaders, original equipment manufacturers, standard development organizations, researchers, and others are singularly focused on a global multilogue to promote Safety, Mobility, Environment, and Economic Development (SMEEd). These discussions are technologically interdisciplinary and procedurally cross-functional, hence the need for CAV: Developing Policies, Designing Programs, and Deploying Projects. This book is aimed at the policy-maker who wants to know the high-level detail; the planner who chooses to pursue the most efficient path to implementation; the professional engineer who needs to design a sustainable system; the practitioner who considers deployable frameworks; the project manager who oversees the system deployment; the private sector consultant who develops and delivers a CAV program; and the researcher who evaluates the project benefits and documents lessons learned. This book makes a business case for implementing CAV technologies to achieve SMEEd goals; presents the possibilities and challenges to deploying emerging technologies; identifies the institutional roles and responsibilities; and develops a policy framework for mainstreaming CAV. - A comprehensive perspective on emerging technologies and CAV policies, planning, and practice - A practical guide to support the development of a policy framework, business case, and justify funding - A real-world experience-driven discussion with case studies, lessons learned, and road map creation - A goal-oriented and practitioner-focused detail to draft, design, and deploy emerging technologies and CAV to achieve safety and mobility outcomes

Solar Hybrid Systems: Design and Application discusses the key power generation characteristics of solar systems and explores the growing need for hybrid systems. The authors use real-life examples to explain the disadvantages of solar systems without hybridization and to demonstrate the various applications hybrid solar systems can be used for, paying special attention to its integration with energy storage systems. The book also discusses the impact of hybridization and how this can improve power generation quality along with investigating novel and advanced hybrid solar systems. This is a useful reference for engineers and researchers involved in both the development and application of hybrid solar systems, and features topics such as solutions for the intermittence of renewable energy sources; on-gird and off-grid solar hybrid systems; the simulation, design and application of hybrid solar systems; the role of energy storage systems in solar hybrid applications; and the future of electric vehicles using solar hybrid systems. - Demonstrates the benefits of hybrid solar systems and why they are needed - Features practical advice on designing hybrid solar systems - Includes key findings and real-world examples to illustrate the applications of hybrid solar systems

An Annual Retrospective XIII

An Annual Retrospective IX

The 101st volume in this series for organic chemists in academia and industry presents critical discussions of widely used organic reactions or particular phases of a reaction. The material is treated from a preparative viewpoint, with emphasis on limitations, interfering influences, effects of structure and the selection of experimental techniques. The work includes tables that contain all possible examples of the reaction under consideration. Detailed procedures illustrate the significant modifications of each method.