2021 2nd International Conference On Big Data And Artificial Intelligence And Software Engineering Icbase
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Author | : IEEE Staff |
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Release | : 2021-09-24 |
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ISBN | : 9781665427104 |
Computers and information processing Big Data applications Cloud computing Internet of Things Cloud computing security Data systems Data engineering Data handling Data analysis Software engineering Software safety Computer aided software engineering Software architecture Computational and artificial intelligence Artificial intelligence Intelligent robots Learning (artificial intelligence) Machine learning Computational intelligence Evolutionary robotics
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Release | : 2021 |
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ISBN | : 9781665427098 |
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Release | : 2021 |
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ISBN | : 9781665427098 |
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ISBN | : 9781728196190 |
Author | : Wenxing Fu |
Publisher | : Springer Nature |
Total Pages | : 3985 |
Release | : 2023-03-10 |
Genre | : Technology & Engineering |
ISBN | : 981990479X |
This book includes original, peer-reviewed research papers from the ICAUS 2022, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2022 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.
Author | : IEEE Staff |
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Release | : 2020-10-30 |
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ISBN | : 9781728196206 |
Computers and information processing Big Data applications Cloud computing Internet of Things Cloud computing security Data systems Data engineering Data handling Data analysis Software engineering Software safety Computer aided software engineering Software architecture Computational and artificial intelligence Artificial intelligence Intelligent robots Learning (artificial intelligence) Machine learning Computational intelligence Evolutionary robotics
Author | : A. Brahmananda Reddy |
Publisher | : Springer Nature |
Total Pages | : 602 |
Release | : 2022-02-22 |
Genre | : Technology & Engineering |
ISBN | : 9811673896 |
This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13–14 August 2021. The book focuses on “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.
Author | : IEEE Staff |
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Release | : 2021-04-02 |
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ISBN | : 9781665411448 |
Computational and artificial intelligence Data structures Data acquisition Data processing Distributed computing Internet security Data analysis Business data processing Education Mobile learning Computer science education Computer aided instruction Electronics engineering education
Author | : Mohammed Atiquzzaman |
Publisher | : Springer Nature |
Total Pages | : 1157 |
Release | : 2022-01-01 |
Genre | : Technology & Engineering |
ISBN | : 9811674698 |
This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.