Deep learning based system identification of industrial integrated grinding circuits

被引:0
|
作者
Miriyala, Srinivas Soumitri [1 ]
Mitra, Kishalay [1 ]
机构
[1] Global Optimization and Knowledge Unearthing Laboratory, Department of Chemical Engineering, Indian Institute of Technology Hyderabad Kandi, Telangana,502285, India
关键词
41;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:921 / 936
相关论文
共 50 条
  • [21] Pedestrian Identification System Based on RFID Signaling and Deep Learning
    Zhao, Linqi
    Cheong, Pedro
    Zhang, Wenhai
    Choi, Wai-Wa
    IEEE SENSORS JOURNAL, 2025, 25 (07) : 12003 - 12015
  • [22] Interface Identification of Automatic Verification System Based on Deep Learning
    Zheng, Andi
    Fu, Yaqiong
    Dong, Mingze
    Du, Xinyi
    Chen, Yueming
    Huang, Jinglin
    PROCEEDINGS OF THE 2021 IEEE 16TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2021), 2021, : 46 - 49
  • [23] Electricity, Heat, and Gas Load Forecasting Based on Deep Multitask Learning in Industrial-Park Integrated Energy System
    Zhang, Linjuan
    Shi, Jiaqi
    Wang, Lili
    Xu, Changqing
    ENTROPY, 2020, 22 (12) : 1 - 18
  • [24] Adaptive Grinding and Polishing of Packaged Integrated Circuits
    Chivas, Robert
    Silverman, Scott
    2014 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM, 2014,
  • [25] An Intelligent System for Grinding Wheel Condition Monitoring Based on Machining Sound and Deep Learning
    Lee, Cheng-Hsiung
    Jwo, Jung-Sing
    Hsieh, Han-Yi
    Lin, Ching-Sheng
    IEEE ACCESS, 2020, 8 : 58279 - 58289
  • [26] Deep Learning-Based Image Analysis Framework for Hardware Assurance of Digital Integrated Circuits
    Lin, Tong
    Shi, Yiqiong
    Shu, Na
    Cheng, Deruo
    Hong, Xuenong
    Song, Jingsi
    Gwee, Bah Hwee
    2020 IEEE INTERNATIONAL SYMPOSIUM ON THE PHYSICAL AND FAILURE ANALYSIS OF INTEGRATED CIRCUITS (IPFA), 2020,
  • [27] Deep learning-based image analysis framework for hardware assurance of digital integrated circuits
    Lin, Tong
    Shi, Yiqiong
    Shu, Na
    Cheng, Deruo
    Hong, Xuenong
    Song, Jingsi
    Gwee, Bah Hwee
    MICROELECTRONICS RELIABILITY, 2021, 123
  • [28] Identification of power quality disturbance with noises based on an integrated deep learning network
    Wang H.
    Cheng S.
    Xu Q.
    Liu Y.
    Wang C.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2024, 52 (10): : 11 - 20
  • [29] Optimal Operation of Integrated Energy System Based on Deep Reinforcement Learning
    Zhang, Fangchi
    Zhou, Fan
    Zhao, Jun
    Wang, Wei
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 149 - 154
  • [30] Optimal dispatch of integrated energy system based on deep reinforcement learning
    Zhou, Xiang
    Wang, Jiye
    Wang, Xinying
    Chen, Sheng
    ENERGY REPORTS, 2023, 9 : 373 - 378