Enhancing Performance Efficiency And Security Through Complex Systems Control
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| Author | : Chana, Idriss |
| Publisher | : IGI Global |
| Total Pages | : 393 |
| Release | : 2024-01-22 |
| Genre | : Computers |
| ISBN | : |
Academic scholars and professionals in engineering strive to enhance the performance, efficiency, and security of complex systems, but accessing comprehensive resources for these challenges can be daunting. Enhancing Performance, Efficiency, and Security Through Complex Systems Control offers an ideal solution. Edited by esteemed academics Idriss Chana, Aziz Bouazi, and Hussain Ben-Azza, this book presents a curated collection of scientific articles encompassing multidisciplinary themes like computer science, artificial intelligence, electrical engineering, and control systems. By consolidating cutting-edge research and methodologies, this book empowers scholars and professionals to improve the design, modeling, and control of complex systems. It provides practical solutions, showcases new ideas, and explores innovative technologies to enhance performance, efficiency, and safety. With a meticulous selection process involving internationally recognized scientific committees, this book ensures the highest quality standards, making it a reliable reference for researchers, PhD students, and academics. Delve into the wide range of topics covered, from artificial intelligence to smart systems, and unlock the potential of complex systems control to advance your research endeavors.
| Author | : Hussain Ben-azza |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024 |
| Genre | : |
| ISBN | : |
Academic scholars and professionals in the field of engineering face the ongoing challenge of enhancing the performance, efficiency, and security of complex systems. The rapid advancements in technology, coupled with the increasing complexity of industrial applications, necessitate innovative solutions and a multidisciplinary approach. However, accessing comprehensive resources that address these pressing issues can be daunting and time-consuming. Enhancing Performance, Efficiency, and Security Through Complex Systems Control provides an ideal solution for academic scholars seeking to tackle these challenges head-on. Edited by esteemed academics Idriss Chana, Aziz Bouazi, and Hussain Ben-Azza, this book offers a curated collection of scientific articles written in the form of chapters. Each chapter delves into various multidisciplinary themes, encompassing computer science, artificial intelligence applications, electrical engineering, and modeling and control systems. By consolidating innovative research and methodologies, this book serves as a valuable resource that empowers scholars and professionals to improve the design, modeling, and control of complex systems. It highlights innovative ideas, methodologies, and technologies that enhance performance, efficiency, and safety. With a meticulous selection process involving internationally recognized scientific committees, the book ensures the highest standards of quality, making it a reliable reference for researchers, Ph.D. students, and academics. Enhancing Performance, Efficiency, and Security Through Complex Systems Control is an essential companion for academic scholars and professionals in the field of engineering. It not only addresses the challenges faced in today's complex systems but also provides practical solutions and inspires further research. By delving into a wide range of topics, from artificial intelligence to signal processing and from blockchain to smart systems, this book equips readers with the knowledge and tools needed to excel in their endeavors. Unlock the potential of complex systems control and propel your research forward with this comprehensive and impactful resource.
| Author | : Saad Motahhir |
| Publisher | : Springer Nature |
| Total Pages | : 593 |
| Release | : 2024 |
| Genre | : |
| ISBN | : 3031686608 |
| Author | : Zhang, Chao |
| Publisher | : IGI Global |
| Total Pages | : 328 |
| Release | : 2024-04-16 |
| Genre | : Business & Economics |
| ISBN | : |
Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains.
| Author | : Prakasha, G. S. |
| Publisher | : IGI Global |
| Total Pages | : 427 |
| Release | : 2024-04-04 |
| Genre | : Computers |
| ISBN | : 1668495783 |
Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.
| Author | : Sharma, Shanu |
| Publisher | : IGI Global |
| Total Pages | : 380 |
| Release | : 2024-03-18 |
| Genre | : Computers |
| ISBN | : |
Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.
| Author | : Aluvalu, Rajanikanth |
| Publisher | : IGI Global |
| Total Pages | : 330 |
| Release | : 2024-04-04 |
| Genre | : Computers |
| ISBN | : |
Serverless computing has emerged as a transformative technology, gaining prominence over traditional cloud computing. It is characterized by reduced costs, lower latency, and the elimination of server-side management overhead, and is driven by the increasing adoption of containerization and microservices architectures. However, there is a significant lack of comprehensive resources for academic research purposes in this field. Serverless Computing Concepts, Technology, and Architecture addresses this gap and provides a comprehensive exploration of the fundamental concepts, characteristics, challenges, applications, and futuristic approaches of serverless computing. This book serves as a valuable reference for doctorate and post-doctorate research scholars, undergraduates, and postgraduates in fields such as computer science, information technology, electronics engineering, and other related disciplines. Serverless Computing Concepts, Technology, and Architecture is poised to be a one-stop reference point for those seeking to understand and harness the potential of serverless computing. It will serve as a prominent guide for researchers in this field for years to come, enriching their knowledge and advancing the study of serverless computing.
| Author | : Revathy, G. |
| Publisher | : IGI Global |
| Total Pages | : 393 |
| Release | : 2024-03-04 |
| Genre | : Computers |
| ISBN | : |
The interaction of various service models, including edge computing and cloud computing, are quickly changing to better support microservices. This intricate weave of technology and information sharing is necessary to build systems that run faster and more efficiently. The interplay between these computing methods and microservices is emerging as the field of Osmotic Computing. Experts can now embark on an intellectual journey into data-driven exploration and ingenuity with the guidance of the book, Advanced Applications in Osmotic Computing. As ethical considerations become rising concerns, the potential biases, privacy encumbrances, and equitable conundrums of osmotic computing are investigated. This book offers judicious strategies to navigate these quandaries conscientiously, adding a layer of responsibility to the discourse. Within these pages, the very fabric of understanding in IoT, Cloud, Edge, Fog, and Machine Learning is redefined, marking a pivotal shift in the paradigm of technological comprehension. This book is an epicenter for the latest evolutions in osmotic computing, unfurling unconventional methodologies that shape the trajectory of data-driven decision-making. Readers will plunge into the theoretical bedrock, simultaneously witnessing pragmatic applications that adeptly bridge the schism between the theoretical constructs and pragmatic realization. The intended audience is multifaceted, encompassing data scientists, machine learning engineers, researchers, academics, educators, students, industry practitioners, interdisciplinary experts, and technology and business leaders.
| Author | : Akshay Kumar |
| Publisher | : Elsevier |
| Total Pages | : 557 |
| Release | : 2024-11-22 |
| Genre | : Technology & Engineering |
| ISBN | : 0443291136 |
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 optimization - Covers many metaheuristic approaches such as reliability, cost, and the MTTF of the system - Provides the workings and applications of multi-objective optimizations
| Author | : United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development |
| Publisher | : |
| Total Pages | : 1564 |
| Release | : 1981 |
| Genre | : Power resources |
| ISBN | : |
