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Subrat SaurabhAuthor of Kuch Woh PalHe has made significant contributions to the academic community through his research, teaching, and publications. As an academician, he imparts his extensive knowledge and passion to students, inspiring the next generation of scholars.Read More...
He has made significant contributions to the academic community through his research, teaching, and publications. As an academician, he imparts his extensive knowledge and passion to students, inspiring the next generation of scholars.
Read Less...Achievements
"Fundamentals of Edge Computing" is a comprehensive guide that explores the rapidly evolving field of edge computing, designed to demystify the core concepts and practical applications of this technology. Edge computing is an innovative technology paradigm that shifts computational processes and data storage closer to the point of data generation or the "edge" of a network. This approach reduces latency, improves efficiency and enhances security by processing
"Fundamentals of Edge Computing" is a comprehensive guide that explores the rapidly evolving field of edge computing, designed to demystify the core concepts and practical applications of this technology. Edge computing is an innovative technology paradigm that shifts computational processes and data storage closer to the point of data generation or the "edge" of a network. This approach reduces latency, improves efficiency and enhances security by processing data locally before sending it to a central server or cloud.
"Fundamentals of Edge Computing" is a comprehensive guide that explores the rapidly evolving field of edge computing, designed to demystify the core concepts and practical applications of this technology. Edge computing is an innovative technology paradigm that shifts computational processes and data storage closer to the point of data generation or the "edge" of a network. This approach reduces latency, improves efficiency and enhances security by processing
"Fundamentals of Edge Computing" is a comprehensive guide that explores the rapidly evolving field of edge computing, designed to demystify the core concepts and practical applications of this technology. Edge computing is an innovative technology paradigm that shifts computational processes and data storage closer to the point of data generation or the "edge" of a network. This approach reduces latency, improves efficiency and enhances security by processing data locally before sending it to a central server or cloud.
Ant Colony Optimization (ACO) stands as a remarkable testament to the inspiration that nature can provide for solving complex optimization problems. Derived from the foraging behavior of real ants, ACO has evolved into a powerful metaheuristic algorithm with wide-ranging applications in various domains. "Ant Colony Optimization: Concepts and Techniques" aims to unravel the intricacies of this algorithm, offering a comprehensive exploration of its principles, m
Ant Colony Optimization (ACO) stands as a remarkable testament to the inspiration that nature can provide for solving complex optimization problems. Derived from the foraging behavior of real ants, ACO has evolved into a powerful metaheuristic algorithm with wide-ranging applications in various domains. "Ant Colony Optimization: Concepts and Techniques" aims to unravel the intricacies of this algorithm, offering a comprehensive exploration of its principles, methodologies, and practical implementations.
Machine learning is a branch of Artificial Intelligence that focuses on creating algorithms and models that allow computers to learn from data. Machine learning allows computers to learn and improve from experience without being specifically programmed for that specific task. Machine learning, in essence, is the process that trains systems to recognize patterns, make predictions or make decisions based on the data.
Machine learning is a branch of Artificial Intelligence that focuses on creating algorithms and models that allow computers to learn from data. Machine learning allows computers to learn and improve from experience without being specifically programmed for that specific task. Machine learning, in essence, is the process that trains systems to recognize patterns, make predictions or make decisions based on the data.
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