Technology in today's world has continued to develop into multifaceted structures. The performance of computers, specifically, has significantly increased leading to various and complex problems regarding the dependability of these systems. Recently, solutions for these issues have been based on soft computing methods; however, there lacks a considerable amount of research on the applications of these techniques within system dependability.
Soft Computing Methods for System Dependability is a collection of innovative research on the applications of these processing techniques for solving problems within the dependability of computer system performance. This book will feature comparative experiences shared by researchers regarding the development of these technological solutions. While highlighting topics including evolutionary computing, chaos theory, and artificial neural networks, this book is ideally designed for researchers, data scientists, computing engineers, industrialists, students, and academicians in the field of computer science.
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Mohamed Arezki Mellal is a Professor in the Department of Mechanical Engineering, Faculty of Technology, at M’Hamed Bougara University, Boumerdes, Algeria. He was ranked among the Top 2% of Scientists Worldwide by Stanford University (Single-year 2022) and was the top-ranked candidate in the 47th National University Commission for the Professorship in Mechanical Engineering in 2022. He has been a Visiting Scholar at various universities and has published over 80 research papers. He has been invited to various conferences and serves as a regular reviewer for over 30 SCIE journals.
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Taschenbuch. Condición: Neu. Soft Computing Methods for System Dependability | Mohamed Arezki Mellal | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Engineering Science Reference | EAN 9781799817192 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 119127028
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