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Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems; Advances in Computational Intelligence and Robotics ,
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Real-Time Pose Recognition for Billiard Players Using Deep ..:
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IEEE INFOCOM 2023 - IEEE Conference on Computer Communications ,
2
FlowBench: A Flexible Flow Table Benchmark for Comprehensiv..:
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Proceedings of the ACM SIGCOMM 2023 Conference ,
3
ClickINC: In-network Computing as a Service in Heterogeneou..:
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2022 7th International Conference on Multimedia and Image Processing ,
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Design of Mobile Robot Path Planning Algorithm Based on Imp..:
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Proceedings of the Twentieth ACM Workshop on Hot Topics in Networks ,
5
In-situ Programmable Switching using rP4 : Towards Runti..:
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2021 5th International Conference on Digital Signal Processing ,
6
A Vision Measurement Method of Micro-vibration Based on Sub..:
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Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence ,
7
Path Planning of Mobile Robots based on Improved Genetic Al..:
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2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA) ,
8
Research on Improved Speech Recognition Based on Whale Algo..:
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2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) ,
9
Research on an Improved CNN Speech Recognition System Based..:
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ICC 2020 - 2020 IEEE International Conference on Communications (ICC) ,
10
GlobalInsight: An LSTM Based Model for Multi-Vehicle Trajec..:
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Multidimensional Signals, Augmented Reality and Information Technologies; Smart Innovation, Systems and Technologies ,
11
Data Balancing of Ceph Distributed Storage System Based on ..:
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2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) ,
12
Surface Defect Detection Algorithm for Air Filters Based on..:
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2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ,
13
Fast-Hubert: an Efficient Training Framework for Self-Super..:
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2023 IEEE 2nd International Power Electronics and Application Symposium (PEAS) ,
14
Study on Core Loss Model of Super High Frequency PWM Wave E..:
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Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering ,
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