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This book gathers the latest quality research work of Ph.D.
students working on the current areas presented in the Doctoral
Symposium on Computational Intelligence (DoSCI 2020). The book
includes works in the areas of artificial intelligence, deep
learning, evolutionary algorithms, swarm intelligence, fuzzy sets
and vague sets, rough set theoretic approaches, quantum-inspired
computational intelligence, hybrid computational intelligence,
machine learning, computer vision, soft computing, distributed
computing, parallel and grid computing, cloud computing,
high-performance computing, biomedical computing, decision support
and decision making. The book is useful for researchers, students,
engineers, practitioners and academicians in their advance studies.
This book gathers the latest quality research work of Ph.D.
students working on the current areas presented in the Doctoral
Symposium on Computational Intelligence (DoSCI 2020). The book
includes works in the areas of artificial intelligence, deep
learning, evolutionary algorithms, swarm intelligence, fuzzy sets
and vague sets, rough set theoretic approaches, quantum-inspired
computational intelligence, hybrid computational intelligence,
machine learning, computer vision, soft computing, distributed
computing, parallel and grid computing, cloud computing,
high-performance computing, biomedical computing, decision support
and decision making. The book is useful for researchers, students,
engineers, practitioners and academicians in their advance studies.
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