215 citations to 10.1109/ACCESS.2019.2921578 (Crossref Cited-By Service)
  1. Tao Liang, Gaofeng Xie, Shurui Fan, Zhaochao Meng, “A Combined Model Based on CEEMDAN, Permutation Entropy, Gated Recurrent Unit Network, and an Improved Bat Algorithm for Wind Speed Forecasting”, IEEE Access, 8, 2020, 165612  crossref
  2. Sachin K. Sen, Gour C. Karmakar, Shaoning Pang, “Critical Data Detection for Dynamically Adjustable Product Quality in IIoT-Enabled Manufacturing”, IEEE Access, 11, 2023, 49464  crossref
  3. S. Jeya, L. Sankari, 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS), 2020, 736  crossref
  4. Qing Tao, Fang Liu, Denis Sidorov, 1072, Intelligent Computing and Optimization, 2020, 369  crossref
  5. Fareena Naz, Conor Mccann, Muhammad Fahim, Tuan-Vu Cao, Ruth Hunter, Nguyen Trung Viet, Long D. Nguyen, Trung Q. Duong, “Comparative Analysis of Deep Learning and Statistical Models for Air Pollutants Prediction in Urban Areas”, IEEE Access, 11, 2023, 64016  crossref
  6. Anwer Mustafa Hilal, Fahd N. Al-Wesabi, Masoud Alajmi, Majdy M. Eltahir, Mohammad Medani, Mesfer Al Duhayyim, Manar Ahmed Hamza, Abu Sarwar Zamani, “Machine learning-based Decision Tree J48 with grey wolf optimizer for environmental pollution control”, Environmental Technology, 44, no. 13, 2023, 1973  crossref
  7. Ziyi Kou, Yang Zhang, Daniel Zhang, Dong Wang, “CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection”, Proc. ACM Hum.-Comput. Interact., 6, no. CSCW2, 2022, 1  crossref
  8. Ichrak Mokhtari, Walid Bechkit, Herve Rivano, Mouloud Riadh Yaici, “Uncertainty-Aware Deep Learning Architectures for Highly Dynamic Air Quality Prediction”, IEEE Access, 9, 2021, 14765  crossref
  9. Jinwoo Park, Jihun Bae, Jongeon Lim, Byeongchan Kim, Jongpil Jeong, “LED-Display Defect Detection Based on YOLOv5 and Transformer”, IEEE Access, 11, 2023, 124660  crossref
  10. Xiaodi Xu, Ting Tong, Wen Zhang, Lingkui Meng, “Fine-grained prediction of PM2.5 concentration based on multisource data and deep learning”, Atmospheric Pollution Research, 11, no. 10, 2020, 1728  crossref
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