Akshay Kumar – författare

Advanced Ceramics possess various unique properties and are able to withstand harsh environments. The aim of this book is to cover various aspects of the advanced ceramics like carbides, nitrides and oxides for energy and environment related applications. Advanced ceramics with additional functionality propose significant potential for greater impact in the field of energy and environmental technologies. This book focuses on the nanostructured ceramics synthesis, properties, structure-property relation and application in the area of energy and environment. It covers the high impact work from around 50 leading researchers throughout the world working in this field. This will help metallurgists, biologists, mechanical engineers, ceramicists, material scientists and researchers working in the nanotechnology field with inclusion of every aspect of advanced ceramics for energy and environmental applications.

Reliability Assessment and Optimization of Complex Systems delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise. System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization.There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance).Explains the process and application of reliability-based design optimizationCovers many metaheuristic approaches such as reliability, cost, and the MTTF of the systemProvides the workings and applications of multi-objective optimizations

Advanced Ceramics possess various unique properties and are able to withstand harsh environments. The aim of this book is to cover various aspects of the advanced ceramics like carbides, nitrides and oxides for energy and environment related applications. Advanced ceramics with additional functionality propose significant potential for greater impact in the field of energy and environmental technologies. This book focuses on the nanostructured ceramics synthesis, properties, structure-property relation and application in the area of energy and environment. It covers the high impact work from around 50 leading researchers throughout the world working in this field. This will help metallurgists, biologists, mechanical engineers, ceramicists, material scientists and researchers working in the nanotechnology field with inclusion of every aspect of advanced ceramics for energy and environmental applications.

The text covers both basic and advanced techniques based on state performance systems and binary systems. The chapters will highlight reliability prediction, series-parallel, and complex modeling. It presents a dynamic reliability analysis of safety-critical systems using Petri nets, and dynamic resource allocation modeling of software with patching. The text illustrates a semi-Markov analysis of systems with a Weibull interface.This book:discusses in a comprehensive manner the reliability-centered maintenance modeling of electric vehicle systems;covers the reliability modeling of multi-state systems under the product development stage, and the reliability assessment of a multi-state degraded system;examines the role of nature-inspired techniques in the reliability optimization of systems; explores the practical challenges and solutions for RAMS management of train control systems; and showcases the methodology for the assessment of multi-state system reliability of traction electric drives, including overload modes.It is primarily written for graduate students and academic researchers in the fields of industrial engineering, systems engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.

Urban informatics is an interdisciplinary approach to understanding, managing, and designing cities using methods based on advanced geospatial methods, computer-based information technologies and other emerging tools. This book provides understanding of developments in geospatial and computational techniques, focusing on the growth/pattern of cities and its implications for the development of smart and sustainable cities from the SDGs perspectives. It covers sustainable development, land use patterns, urban growth analysis, environmental impacts, infrastructure management, and policy. Focuses on interdisciplinary approach using geospatial data, GIS, and advanced computational methods to address the challenges in urban informatics. Addresses the problems in implementing smart city initiatives, designing more adaptive, responsive, and resilient cities Offers insightful dimensions to better understand the spatial urban pattern and future projection of for suitable planning and management Discusses theoretical and applied research practices along with background information on the use of advanced technologies in the domain of urban studies Includes practical examples, case studies, and methodologies This book is aimed at graduate students and researchers in environmental engineering and remote sensing.

The text provides a comprehensive exploration of fuzzy applications across various domains, including decision-making, transportation problems, infrastructure engineering, inventory management, pattern recognition, Plithogenic sets, hyperbolic fuzzy sets, sustainable systems, reliability, and risk assessment.Explores the implementation of interval-valued fuzzy logic, three-way decision-making techniques, and the HyFS-based aggregation approach for multi-attribute decision-making (MADM) problems.Covers advanced computing techniques and algorithms such as grey-wolf optimization and cuckoo search for fuzzy optimization.Discusses various types of fuzzy sets, including intuitionistic fuzzy sets, picture fuzzy sets, and neutrosophic fuzzy sets, for multi-criteria decision-making techniques.Highlights the application of techniques like the universal generating function and different types of fuzzy numbers for reliability estimation in engineering systems.Presents nature-inspired hybrid algorithms for fuzzy reliability optimization in diverse engineering systems.Fuzzy Theory Applications in Engineering is designed for graduate students and academic researchers in engineering mathematics, industrial engineering, transportation engineering, biomedical engineering, electrical engineering, electronics, and communications engineering.

The text emphasizes the methodologies and strategies for finding maintainability, sustainability, dependability, and reliability. It discusses how Industry 5.0 affects networks and gives ideas about diversification and an interdisciplinary approach in the field of network reliability. Features:Covers different methods for enhancing the network’s Reliability, maintainability, and performance based on applications of the universal generating function, Lz-transform, and Monte Carlo simulation Methodology.Discusses the concepts of Network reliability in Industry 5.0, in which we can enhance the Maintainability, Sustainability, Reliability, and dependability of the different complex networks and systems.Provides a comparative framework for the network reliability used in real life for future work.Explains how Industry 5.0 affects networks and gives ideas about diversification and an interdisciplinary approach in the field of Network reliability.Highlights future research and problems in network reliability and focus on how emerging networks are used in the agriculture field, the food supply chain network, and multistage interconnection networks.The text is primarily written for graduate students and academic researchers in industrial engineering, systems engineering, production engineering, reliability engineering, mechanical engineering, and mathematics.

This book presents the design of delay-efficient packet schedulers for heterogeneous M2M uplink traffic classified into several classes, based on packet delay requirements, payload size, arrival process, etc.

This book highlights the practical benefits of advanced mathematics through real-world applications in various engineering fields, such as sustainable engineering, innovative algorithms, reliability engineering, systems engineering, and soft computing. It covers essential mathematical models for environmental and economic sustainability, cutting-edge algorithms with practical examples, and models in reliability engineering to improve system performance under uncertainty. The systems engineering section explores methods for designing and optimizing complex systems with case studies, while soft computing delves into fuzzy logic, neural networks, and genetic algorithms. Balancing theory with hands-on examples, this book simplifies complex topics and offers innovative solutions to global engineering challenges, making it an accessible guide for those wanting to deepen their understanding of advanced mathematics in engineering.

Algorithms are ubiquitous in the contemporary technological world, and they ultimately consist of finite sequences of instructions used to accomplish tasks with necessary input values. This book analyses the top performing algorithms in areas as diverse as Big Data, Artificial Intelligence, Optimization Techniques and Cloud & Cyber Security Systems in order to explore their power and limitations.

This book presents the design of delay-efficient packet schedulers for heterogeneous M2M uplink traffic classified into several classes, based on packet delay requirements, payload size, arrival process, etc. Specifically, the authors use tools from queuing theory to determine the delay-optimal scheduling policy. The proposed packet schedulers are designed for a generic M2M architecture and thus equally applicable to any M2M application. Additionally, due to their low implementation complexity and excellent delay-performance, they authors show how they are also well-suited for practical M2M systems. The book pertains primarily to real-time process scheduler experts in industry/academia and graduate students whose research deals with designing Quality-of-Service-aware packet schedulers for M2M packet schedulers over existing and future cellular infrastructure. Presents queuing theoretic analysis and optimization techniques used to design proposed packet scheduling strategies;Provides utility functions to precisely model diverse delay requirements, which lends itself to formulation of utility-maximization problems for determining the delay- or utility-optimal packet scheduler;Includes detail on low implementation complexity of the proposed scheduler by using iterative and distributed optimization techniques.

This book presents key computational intelligence approaches applied across diverse areas of computer science, demonstrating their effectiveness in solving real-world problems. It highlights how nature-inspired methods are shaping the future of intelligent systems and offering powerful, efficient, and elegant solutions to complex challenges.Computational intelligence (CI) extends far beyond the optimization of complex computations. It provides robust, generic, and adaptable mechanisms for addressing challenging problems across science and technology where traditional mathematical reasoning encounters uncertainty, nonlinearity, and complexity.In computer science, CI strongly influences algorithm design, system architectures, and optimization schemes. Unlike classical artificial intelligence, which is largely rule- and logic-based, computational intelligence relies on nature-inspired methodologies that model learning, adaptation, and evolution.Traditionally, CI has been built upon three foundational paradigms: Neural networks, fuzzy systems, and evolutionary computation. Neural networks emulate the structure and learning behavior of the human brain; fuzzy systems incorporate linguistic reasoning to manage uncertainty and imprecise data; and evolutionary computation draws inspiration from biological evolution, incorporating mechanisms such as selection, mutation, and reproduction.Today, CI has expanded to include machine learning methods, swarm intelligence, support vector machines, and chaotic systems. These techniques enable faster, more accurate, and less complex decision-making across a wide range of computational problems.

This book “Advanced Applications of Computational Mathematics” covers multidisciplinary studies containing advanced research in the field of computational and applied mathematics. The book includes research methodology, techniques, applications, and algorithms. The book will be very useful to advanced students, researchers and practitioners who are involved in the areas of computational and applied mathematics and engineering.

This book is an excellent collection of various topics of mathematics which include numerical methods, integral equations, and differential equations. The book is recommended to readers to refresh their understanding of applied mathematics with theory and applications. It will be useful to students, researchers, and practitioners working in applied and computational mathematics.

This book “Advanced Applications of Computational Mathematics” covers multidisciplinary studies containing advanced research in the field of computational and applied mathematics. The book includes research methodology, techniques, applications, and algorithms. The book will be very useful to advanced students, researchers and practitioners who are involved in the areas of computational and applied mathematics and engineering.