| Automatic identification and classification in lithology based on deep learning in rock images Y Zhang, M Li, S Han Yanshi Xuebao/Acta Petrologica Sinica 34 (2), 333-342, 2018 | 107 | 2018 |
| Data mining approach to construction productivity prediction for cutter suction dredgers S Bai, M Li, R Kong, S Han, H Li, L Qin Automation in Construction 105, 102833, 2019 | 90 | 2019 |
| Intelligent identification for rock-mineral microscopic images using ensemble machine learning algorithms Y Zhang, M Li, S Han, Q Ren, J Shi Sensors 19 (18), 3914, 2019 | 88 | 2019 |
| On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach D Tian, M Li, J Shi, Y Shen, S Han Advanced Engineering Informatics 49, 101355, 2021 | 64 | 2021 |
| Tectonic discrimination of olivine in basalt using data mining techniques based on major elements: a comparative study from multiple perspectives Q Ren, M Li, S Han Big Earth Data 3 (1), 8-25, 2019 | 56 | 2019 |
| An enhanced rock mineral recognition method integrating a deep learning model and clustering algorithm C Liu, M Li, Y Zhang, S Han, Y Zhu Minerals 9 (9), 516, 2019 | 55 | 2019 |
| Prediction of rock compressive strength using machine learning algorithms based on spectrum analysis of geological hammer Q Ren, G Wang, M Li, S Han Geotechnical and Geological Engineering 37, 475-489, 2019 | 51 | 2019 |
| Automated classification analysis of geological structures based on images data and deep learning model Y Zhang, G Wang, M Li, S Han Applied Sciences 8 (12), 2493, 2018 | 49 | 2018 |
| Intelligent question answering method for construction safety hazard knowledge based on deep semantic mining D Tian, M Li, Q Ren, X Zhang, S Han, Y Shen Automation in construction 145, 104670, 2023 | 43 | 2023 |
| An enhanced ISODATA algorithm for recognizing multiple electric appliances from the aggregated power consumption dataset M Li, S Han, J Shi Energy and Buildings 140, 305-316, 2017 | 30 | 2017 |
| Measuring rock surface strength based on spectrograms with deep convolutional networks S Han, H Li, M Li, X Luo Computers & Geosciences 133, 104312, 2019 | 24 | 2019 |
| Estimation of seismic wave incident angle using vibration response data and stacking ensemble algorithm J Zhang, M Li, S Han, G Deng Computers and Geotechnics 137, 104255, 2021 | 23 | 2021 |
| An improved computing method for 3D mechanical connectivity rates based on a polyhedral simulation model of discrete fracture network in rock masses M Li, S Han, S Zhou, Y Zhang Rock Mechanics and Rock Engineering 51, 1789-1800, 2018 | 22 | 2018 |
| Novel method of construction-efficiency evaluation of cutter suction dredger based on real-time monitoring data M Li, R Kong, S Han, G Tian, L Qin Journal of Waterway, Port, Coastal, and Ocean Engineering 144 (6), 05018007, 2018 | 21 | 2018 |
| A novel and intelligent safety-hazard classification method with syntactic and semantic features for large-scale construction projects D Tian, M Li, S Han, Y Shen Journal of Construction Engineering and Management 148 (10), 04022109, 2022 | 20 | 2022 |
| Seismic analysis of gravity dam–layered foundation system subjected to earthquakes with arbitrary incident angles J Zhang, M Li, S Han International Journal of Geomechanics 22 (2), 04021279, 2022 | 18 | 2022 |
| An intelligent extraction and analysis approach of professional technical words for hydraulic engineering by improved Word2vec technology with Attention mechanism M Li, D Tian, Y Shen, J Shi, S Han Shuili Xuebao/Journal of Hydraulic Engineering 51 (7), 816, 2020 | 18 | 2020 |
| Copula-based simulating and analyzing methods of rock mass fractures S Han, M Li, G Wang Computers and Geotechnics 127, 103779, 2020 | 16 | 2020 |
| Discriminating among tectonic settings of spinel based on multiple machine learning algorithms S Han, M Li, Q Ren Big Earth Data 3 (1), 67-82, 2019 | 16 | 2019 |
| A trace map comparison algorithm for the discrete fracture network models of rock masses S Han, G Wang, M Li Computers & Geosciences 115, 31-41, 2018 | 16 | 2018 |
Mingchao LiTianjin Universitytju.edu.cn의 이메일 확인됨