| Experimental analysis of wet mill load based on vibration signals of laboratory-scale ball mill shell J Tang, L Zhao, J Zhou, H Yue, T Chai Minerals Engineering 23 (9), 720-730, 2010 | 114 | 2010 |
| Energy-efficient data-gathering rendezvous algorithms with mobile sinks for wireless sensor networks J Zhang, J Tang, T Wang, F Chen International Journal of Sensor Networks 23 (4), 248-257, 2017 | 101 | 2017 |
| Real-time traffic sign detection and recognition method based on simplified Gabor wavelets and CNNs F Shao, X Wang, F Meng, T Rui, D Wang, J Tang Sensors 18 (10), 3192, 2018 | 92 | 2018 |
| Comprehensive review on mechanism analysis and numerical simulation of municipal solid waste incineration process based on mechanical grate J Zhuang, J Tang, L Aljerf Fuel 320, 123826, 2022 | 88 | 2022 |
| On-line principal component analysis with application to process modeling J Tang, W Yu, T Chai, L Zhao Neurocomputing 82, 167-178, 2012 | 86 | 2012 |
| Dioxin emission prediction based on improved deep forest regression for municipal solid waste incineration process H Xia, J Tang, L Aljerf Chemosphere 294, 133716, 2022 | 80 | 2022 |
| Modeling load parameters of ball mill in grinding process based on selective ensemble multisensor information J Tang, T Chai, W Yu, L Zhao IEEE Transactions on Automation Science and Engineering 10 (3), 726-740, 2012 | 80 | 2012 |
| Dioxin emission concentration measurement approaches for municipal solid wastes incineration process: a survey Q Jun-Fei, G Zi-Hao, T Jian Acta Automatica Sinica 46 (6), 1063-1089, 2020 | 68 | 2020 |
| Feature extraction and selection based on vibration spectrum with application to estimating the load parameters of ball mill in grinding process J Tang, T Chai, W Yu, L Zhao Control Engineering Practice 20 (10), 991-1004, 2012 | 64 | 2012 |
| Soft sensor modeling of ball mill load via principal component analysis and support vector machines J Tang, L Zhao, W Yu, H Yue, T Chai Advances in Neural Network Research and Applications, 803-810, 2010 | 58 | 2010 |
| The impact of industrial structure adjustment on the spatial industrial linkage of carbon emission: From the perspective of climate change mitigation Y Zheng, J Tang, F Huang Journal of Environmental Management 345, 118620, 2023 | 57 | 2023 |
| Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm J Tang, T Chai, L Zhao, W Yu, H Yue Neurocomputing 78 (1), 38-47, 2012 | 57 | 2012 |
| Vibration analysis based on empirical mode decomposition and partial least square J Tang, L Zhao, H Yue, W Yu, T Chai Procedia Engineering 16, 646-652, 2011 | 55 | 2011 |
| Cooperative relay selection for load balancing with mobility in hierarchical WSNs: A multi-armed bandit approach J Zhang, J Tang, F Wang IEEE Access 8, 18110-18122, 2020 | 50 | 2020 |
| Mechanism characteristic analysis and soft measuring method review for ball mill load based on mechanical vibration and acoustic signals in the grinding process J Tang, J Qiao, Z Liu, X Zhou, G Yu, J Zhao Minerals Engineering 128, 294-311, 2018 | 49 | 2018 |
| Prediction of dioxin emission from municipal solid waste incineration based on expansion, interpolation, and selection for small samples J Tang, H Xia, L Aljerf, D Wang, PO Ukaogo Journal of Environmental Chemical Engineering 10 (5), 108314, 2022 | 47 | 2022 |
| How do resource dependence and technological progress affect carbon emissions reduction effect of industrial structure transformation? Empirical research based on the rebound … Y Zheng, JZ Xiao, F Huang, J Tang Environmental Science and Pollution Research 30 (34), 81823-81838, 2023 | 46 | 2023 |
| Selective ensemble modeling load parameters of ball mill based on multi-scale frequency spectral features and sphere criterion J Tang, W Yu, T Chai, Z Liu, X Zhou Mechanical Systems and Signal Processing 66, 485-504, 2016 | 45 | 2016 |
| NOx emissions prediction with a brain-inspired modular neural network in municipal solid waste incineration processes X Meng, J Tang, J Qiao IEEE Transactions on Industrial Informatics 18 (7), 4622-4631, 2021 | 43 | 2021 |
| Deep forest regression based on cross-layer full connection J Tang, H Xia, J Zhang, J Qiao, W Yu Neural Computing and Applications 33, 9307-9328, 2021 | 43 | 2021 |
Wen YuCINVESTAV-IPNПотвърден имейл адрес: ctrl.cinvestav.mx