AboutComponents, Circuits, Devices and Systems; Photonics and Electrooptics; Power, Energy and Industry Applications; Robotics and Control Systems
Keywords:Computation intelligence,Electronics and electrical engineering,Computer science applications,Power electronics,power drives,Electric vehicle technologies,Nanoelectromechanical system,Photonics and optoelectronics,Big Data,Cloud Computing,Control and robotics,
Scope:2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA 2023) will be held in Changchun, China during February 24-26, 2023. EEBDA 2023 is designed to foster dialogue amongst professionals from the industry, the public sector, and the research community from all over the world in the field of electrical engineering, big data and algorithms. Join us in Changchun, and be part of the important and exciting EEBDA conference. Whether you are there to listen, to present, to have your questions answered, or are there to contribute to the discussions and dialog with some of the world's leading experts, you will find the event meaningful and memorable!
Sponsor Type:3; 9
By submitting a manuscript to EEBDA 2023, the authors assert that it has not been previously published in substantially similar form. Furthermore, no paper which contains significant overlap with the contributions of this paper either has been or will be submitted during the EEBDA 2023 review period to either a journal or a conference. If there are any papers that may appear to the reviewers to violate this condition, then it is your responsibility to (1) cite these papers (preserving anonymity as well), (2) argue in the body of your paper why your EEBDA paper is nontrivially different from these concurrent submissions, or (3) include anonymized versions of those papers in the supplemental material.
02月24日
2023
02月26日
2023
摘要截稿日期
注册截止日期
2024年02月27日 中国 Changchun
2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms2022年02月25日 中国 Changchun
2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms
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