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This book contains select proceedings papers from the Asia Pacific Computer Systems Conference (APCS 2022). The contents focus on the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. The chapters also include contributions on data mining and knowledge discovery addressing detailed descriptions of significant applications. This book proves a valuable resource for those in academia and industry interested in computational intelligence, artificial intelligence and automation.
This book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019. The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers worki...
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.
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.
Introduction to Telecommunications focuses on the technical and business aspects of a wide variety of technologies, encouraging readers to think about telecommunications systems in ways that will serve them well as the technology continues to evolve. In-depth coverage of current data and voice communications technologies is featured, along with extensive discussion of emerging technologies such as converged data/voice networks and more. Ideal for electronics and industrial technology students, Introduction to Telecommunications uses numerous real-world examples to explain technical concepts and illustrate how they are being applied today. Ample pedagogy - including chapter-opening objectives, key terms lists, review questions and exercises, plus a comprehensive glossary - is also included to guide readers to an understanding of how telecommunications technologies interact with business in today's Information Age.
This book provides a major forum for the technical advancement of knowledge management and its applications across diversified domains. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, data mining, recommender systems, image processing, pattern recognition and predictions using machine learning techniques is the major strength of this book. Effective knowledge management has become a key to the success of business organizations, and can offer a substantial competitive edge. So as to be accessible to all scholars, this book combines the core ideas of knowledge management and its applications in numerous domains, illustrated in case studies. The techniques and concepts proposed here can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas.
Recent advancements in technology have led to significant improvements and developments within learning environments. When utilized properly, these innovations can serve as a valuable resource for educators and students. Exploring the New Era of Technology-Infused Education is a pivotal reference source for the latest scholarly research on the implementation of emerging technologies in contemporary classroom settings. Highlighting theoretical foundations, empirical case studies, and curriculum development strategies, this book is ideally designed for researchers, practitioners, educators, and academics actively involved in teaching and learning environments.
Research publications, projects, and teaching learning theories have become very important to universities, institutions, organizations, and industries. Many submissions are rejected due to author's lack of writing and research skills. This new book provides a quick, basic starting point to learning the needed skills. The book discusses the statistical methods involved, covers the development of academic writing skills for a higher impact, teaches learning theories, and uses a structured and holistic approach for educational research proposal development. This book will be used by research scholars, undergraduates, postgraduates, and anyone interested in engineering and learning the basic academic writing skills and scientific methods needed.
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic ca...
This book provides a comprehensive analysis of the tools and techniques used today for designing and modeling of efficient and robust swarm-intelligence based systems: highly (or fully) decentralized, semi-autonomous, highly-scalable infrastructures in various real-life scenarios. Among others, the book reviews the use of the swarm intelligence paradigm in financial investment, blockchain protocols design, shared transportation systems, communication networks, bioinformatics, and military applications. Theoretical and practical limitations of such systems, as well as trade-offs between the various economic and operational parameters of the systems, are discussed. The book is intended for researchers and engineers in the fields of swarm systems, economics, agriculture, nutrition, and operation research.