De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences

This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools.

This book provides application of multi criteria decision making techniques for managerial discretion. With this book, a concerted platform has been provided for several peers and other management organizations to understand and implement these tools and deal with the practical problems in a better way so as to provide more robust managerial decision making.

This work presents the guiding principles of Integral Transforms needed for many applications when solving engineering and science problems. As a modern approach to Laplace Transform, Fourier series and Z-Transforms it is a valuable reference for professionals and students alike.

This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.

This book focuses on artifi cial intelligence in the field of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal processing and biomedical signal processing are also explored through DL algorithms, as well as 5G and green communication. Finally, metaheuristic algorithms of related mathematical problems are explored.

This book offers a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature-inspired algorithms. Their wide applicability makes them a hot research topic and an effi cient tool for the solution of complex optimization problems in various fi elds of sciences, engineering, and in numerous industries.

This book presents the state-of-the-art methods in Linear Integer Programming, including some new algorithms and heuristic methods developed by the authors in recent years. Topics as Characteristic equation (CE), application of CE to bi-objective and multi-objective problems, Binary integer problems, Mixed-integer models, Knapsack models, Complexity reduction, Feasible-space reduction, Random search, Connected graph are also treated.

Reliability is a fundamental criterium in engineering systems. This book shows innovative concepts and applications of mathematics in solving reliability problems. The contents address in particular the interaction between engineers and mathematicians, as well as the cross-fertilization in the advancement of science and technology. It bridges the gap between theory and practice to aid in practical problem-solving in various contexts.

This book aims to include various significant research topics of mathematical fluid mechanics having relevance or applications in engineering and applied sciences, covering the tools and techniques used for developing mathematical methods and modelling related to real-life situations.

This book presents new concepts against Distributed Denial of Service (DDoS) attacks. It follows a systematic approach providing cryptographic and mathematical solutions that include aspects of encryption, decryption, hashing techniques, digital signatures, authentication, probability, statistical improvements to machine learning and soft computing as well as latest trends like blockchains to mitigate DDoS attacks.

Reliability is one of the fundamental criteria in engineering systems. Design and maintenance serve to support it throughout the systems life. As such, maintenance acts in parallel to production and can have a great impact on the availability and capacity of production and the quality of the products. The authors describe current and innovative methods useful to industry and society.

This book describes methods to improve software performance and safety using advanced mathematical and computational analytics. The main focus is laid on the increase of software reliability by preventive and predictive maintenance with efficient usage of modern testing resources. The editors collect contributions from international researchers in the field.

Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.

Supply chains are significant in improving business efficiency. Sustainable supply chains help industries enhance their ecological, monetary, and social performance. Innovative research frameworks as well as the modelling of sustainability issues are significant to different stakeholder’s perspectives. This book guides researchers and practitioners through developing effective sustainable supply chains to meet UN Sustainable Development Goals (SDGs).

Soft computing is used where a complex problem is not adequately specified for the use of conventional math and computer techniques. Soft computing has numerous real-world applications in domestic, commercial and industrial situations. This book elaborates on the most recent applications in various fields of engineering.

Complex Engineering Systems - Modeling and Optimization offers an in-depth exploration of the foundational principles, advanced methodologies, and interdisciplinary applications essential for understanding and managing intricate engineering systems. Spanning mathematical modeling, numerical simulation, optimization strategies, and AI-assisted techniques, the book presents a rich blend of theory and real-world problem-solving tools. This comprehensive volume is tailored for researchers, professionals, and graduate students engaged in engineering, applied mathematics, and computational sciences.

Covering diverse themes-from system-of-systems behavior and multiphysics modeling to nanofluid dynamics, fractional heat transfer, queuing theory, and machine learning integration - the chapters collectively emphasize the interplay between complexity, adaptability, and innovation. The contributors shed light on modern challenges like cryogenic flow analysis, pressure sensing in microfluidics, MHD flow behavior, and AI-driven predictive modeling.

This book bridges theoretical concepts in fuzzy clustering with practical applications. It elucidates the mathematical foundations of fuzzy clustering methods, serving as a much-needed resource in the field. By explicating complex concepts, it will aid researchers, practitioners, and students in the analysis, design, and optimization of algorithms. This valuable resource will contributes to the utilization and enhancement of fuzzy clustering techniques across various domains. The book delves into the mathematical underpinnings, methods, and applications of fuzzy clustering. This book will enable academics, practitioners, and students to grasp the mathematical significance of fuzzy clustering in contemporary data analysis and to explore creative applications. It is an essential volume for data analysis professionals and students alike. Using advanced mathematical methods, it instructs readers on understanding, designing, and applying these algorithms. Its unique blend of theory and practice bridges the mathematical foundation with practical application, empowering readers to effectively analyze large datasets and uncover hidden patterns.

This book covers innovative research topics on Metaverse, Digital Twins and Disease Screening and Precision medicines which represents the convergence of three significant technological trends, each with the potential to impact healthcare on its own. However, when combined, they could establish entirely novel avenues for delivering care, offering the potential to reduce costs significantly and greatly enhance patient outcomes. These trends include telepresence/telemedicine, the digital twin (DT), and blockchain. Telepresence refers to people's capacity to virtually be together despite physical distance. This can be achieved through virtual reality (VR, immersing the user entirely), augmented reality (AR, overlaying artificial images onto a real image), or other methods. Aside from VR and AR, distinguish two other metaverse types: lifelogging (capturing, storing, and sharing everyday experiences and information about objects and people) and the mirror world (reflecting the real world but integrating and providing external environment information). In the healthcare context, telepresence is predominantly utilized in telemedicine, which involves delivering medical services remotely.

In today's rapidly evolving information technology landscape, cyber-attacks on company assets and IT systems are becoming increasingly frequent and varied. This book focuses on such security breaches, originating from diverse sources.

The book explores the complexities of security attacks and the growing number of vulnerabilities, emphasizing the importance of implementing high-quality information security practices within organizations. It introduces "Reengineering Cyber Security Process: Quality Management", a practical methodology for analyzing various information security components within an organization to develop a comprehensive quality information security management program.

This book is valuable for a wide range of professionals in the information security community, including CIOs, CEOs, CISOs, managers, IT staff, professional cybersecurity staff, and end-users. It includes relevant examples and applications, offering a fresh perspective on Cyber Security Quality Management.

"Digital Blockchain- Big Data, Artificial Intelligence and Virtual Reality in Healthcare Ecosystem" is a book that explores the revolutionary impact of blockchain, big data, and artificial intelligence (AI) on the pharmaceutical and healthcare sectors. The book discusses AI, big data, and their applications in drug research, clinical trials, regulatory compliance, and post-marketing surveillance. The book also discusses education and training in smart pharma, demonstrating the potential of AI, big data, and machine learning to improve workforce capacities.

The book discusses intellectual property and data privacy issues, the legislative framework for AI adoption, ethical considerations, and future trends in AI-enabled drug research, manufacturing, and healthcare innovation. It is a valuable resource for healthcare professionals, industrial experts, and academicians, offering theoretical and practical insights.

The book Artificial Intelligence for Healthcare: Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI’s transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI's practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions.

This book provides insights into contemporary issues and challenges concerning operational research and related mathematical modeling fundamentals, such as system reliability, scalability, and adaptability. This collaboration of academia and industry disseminates practical tools and analytics applications of mathematics in engineering and information sciences

Optimization techniques have gained popularity among system managers for making crucial decisions while meeting multiple needs. The focus of this book is the evaluation and optimization of critical decisions related to the system betterment. Each chapter presents the recent advancements and research opportunities in system assurance.

Operational Perspective of Modeling System Reliability (Research Tools for System Dynamics) is for academicians and those who need to understand the latest developments in the field of System Reliability. Along with these, anyone solving problems within the related application domains will benefit from this compilation.

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.