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Fan, K., Ren, Y.S., Bai, Y.H., Wei, G. L., Zhang, K., Li, H., and Yang, Y.T., et al. (2023). Fault Tolerant and Collusion-Resistant Lattice Based Multidimensional Privacy-Preserving Data Aggregation in Edge-Based Smart Grid. IEEE Internet of Things Journal, 2327-4662. doi: 10.1109/JIOT.2023.3323542.Search in Google Scholar
Chehida, S., Fellah, K., Rutten, E., Giraud, G., and Mocanu, S. (2023). Model-based Self-adaptive Management in a Smart Grid Substation. 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), Sinaia, Romania, 2023, 1-8, doi: 10.1109/ETFA54631.2023.10275470.Search in Google Scholar
Xia, W., He, D., and Yu, L. (2023). Locational Detection of False Data Injection Attacks in Smart Grids: A Graph Convolutional Attention Network Approach. IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3323565.Search in Google Scholar
Zhang, J., Che, L., and Shahidehpour, M.(2023). Distributed Training and Distributed Execution Based Stackelberg Multi-Agent Reinforcement Learning for EV Charging Scheduling. IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2023.3309528.Search in Google Scholar
Wang, L., Sun, Q., Bai, X., Wu, D., Yang, D., and Ning, Z. (2022). Research on Intelligent Diagnosis System for High-voltage Cables Based on Partial Discharge Characteristics. 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), Harbin, China, 1-5, doi: 10.1109/ICSMD57530.2022.10058337.Search in Google Scholar
Hongyan, C. (2022) Investigation on PD Activities in Man-made Defective Distribution XLPE Cable Joints. . 2022 9th International Conference on Condition Monitoring and Diagnosis (CMD), Kitakyushu, Japan, 01-06, doi: 10.23919/CMD54214.2022.9991331.Search in Google Scholar
Li, Y., Liu, S., Wang, A. and Guo, Z. (2022). Research on Diesel Engine Bearing Fault Diagnosis based on Vibration Signal. 2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), Chongqing, China, 23-28, doi: 10.1109/SDPC55702.2022.9915911.Search in Google Scholar
Mehrzad, A., Darmiani, M., Mousavi, Y., Shafie-Khah, M. and Aghamohammadi, M. (2023). A Review on Data-Driven Security Assessment of Power Systems:Trends and Applications of Artificial Intelligence. IEEE Access, vol. 11, 78671-78685, 2023, doi: 10.1109/ACCESS.2023.3299208.Search in Google Scholar
Dai, J., Si, L., and Wang, Z. (2023). Vibration Signal Denoising for Coal-Gangue Impacting the Tail Beam of Hydraulic Support Based on Improved ALO and VMD. 2023 IEEE 16th International Conference on Electronic Measurement & Instruments (ICEMI), Harbin, China, 298-303, doi: 10.1109/ICEMI59194.2023.10270033.Search in Google Scholar
Xing, W., Tuo, W., Li, X., and Yang, C. (2023). Image Restoration Based on Blur Kernel Estimation Using Vibration Data. 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China, 284-288, doi: 10.1109/ICSIP57908.2023.10271071.Search in Google Scholar
Wang, Y., Yang, M., Li, Y., Xu, Z.D., Wang J., Fang, X. (2021). A Multi-Input and Multi-Task Convolutional Neural Network for Fault Diagnosis based on Bearing Vibration Signal. IEEE Sensors Journal, 2021, PP(99):1-1, doi: 10.1109/jsen.2021.3061595Search in Google Scholar
Zhang, X.N., Liu, S., Li, L., Lei, J.G., and Chang, G. (2021). Multiscale holospectrum convolutional neural network-based fault diagnosis of rolling bearings with variable operating conditions. Measurement Science and Technology, 32(10):105027, doi: 10.1088/1361-6501/ac05f8Search in Google Scholar
Kang, J.L. (2020). Visualization analysis for fault diagnosis in chemical processes using recurrent neural networks - ScienceDirect. Journal of the Taiwan Institute of Chemical Engineers, 112:137-151, doi: 10.1016/j.jtice.2020.06.016Search in Google Scholar
Bao, Y., Wang, B., Guo, P., Wang, J.T. (2021). Chemical process fault diagnosis based on a combined deep learning method [J]. The Canadian Journal of Chemical Engineering, doi: 10.1002/CJCE.24153.Search in Google Scholar
Tan, X., Zhang, W., Chen, J., Li, C.Y. and Cao, J.Y. (2023).Noise Reduction of Cable Partial Discharge Vibration Signal based on EEMD-CIIT method.Applied Mathematics and Nonlinear Sciences, doi: 10.2478/amns.2023.2.00238.Search in Google Scholar
Cahyani, D.E., Wibawa, A.P., Prasetya, D.D., Gumilar, L., Akhbar, F., and Triyulinar, E.R. (2022). Text-Based Emotion Detection using CNN-BiLSTM. 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS), Prapat, Indonesia, 1-5, doi: 10.1109/ICORIS56080.2022.10031370.Search in Google Scholar
Zhang, X., and Li, X. (2023). Chiller load prediction based on CEEMDAN-BiLSTM-Attention model for sufficient data and small sample data cases. 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS), Xiangtan, China, 1634-1639, doi: 10.1109/DDCLS58216.2023.10166047.Search in Google Scholar
Anki, P., Bustamam, A., Al-Ash, H.S.and Sarwinda, D. (2020). High Accuracy Conversational AI Chatbot Using Deep Recurrent Neural Networks Based on BiLSTM Model. 2020 3rd International Conference on Information and Communications Technology (ICOIACT), Yogyakarta, Indonesia, 382-387, doi: 10.1109/ICOIACT50329.2020.9332074.Search in Google Scholar
He, Y. (2023). BERT-CNN-BiLSTM: A Hybrid Deep Learning Model for Accurate Sentiment Analysis. 2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS), Shenyang, China, 921-926, doi: 10.1109/ICPICS58376.2023.10235335.Search in Google Scholar
Vijayvargiya, A., Kumar, R. and Sharma, P. (2023). PC-GNN: Pearson Correlation-Based Graph Neural Network for Recognition of Human Lower Limb Activity Using sEMG Signal. IEEE Transactions on Human-Machine Systems, doi: 10.1109/THMS.2023.3319356.Search in Google Scholar
Wang, Z., Nie, F., Zhang, C., Wang, R. and Li, X. (2023). Worst-case Discriminative Feature Learning via Max-Min Ratio Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2023.3323453.Search in Google Scholar