Enming Li

发表

Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories

Jian Zhou, Enming Li, Mingzheng Wang, 2019, Journal of Performance of Constructed Facilities.

Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories

Jian Zhou, Enming Li, Mingzheng Wang, 2019, Safety Science.

Classification of Seismic-Liquefaction Potential Using Friedman’s Stochastic Gradient Boosting Based on the Cone Penetration Test Data

Jian Zhou, Enming Li, Mingzheng Wang, 2018, Sustainable Civil Infrastructures.

Local-feature and global-dependency based tool wear prediction using deep learning

Enming Li, Changsen Yang, Jingtao Zhou, 2022, Scientific reports.

Development of Hybrid Models Using Metaheuristic Optimization Techniques to Predict the Carbonation Depth of Fly Ash Concrete

Enming Li, Rahul Biswas, B. Rai, 2022, SSRN Electronic Journal.

Unraveling the Global WarmingMitigation Potential from Recycling Subway‐Related Excavated Soil and Rock in China Via Life Cycle Assessment

Enming Li, Hui Zhang, H. Feng, 2021 .

Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill

D. Jahed Armaghani, Jian Zhou, Enming Li, 2020, Engineering with Computers.

Compressive behavior and microstructural properties of tailings polypropylene fibre-reinforced cemented paste backfill

Jian Zhou, Xiuzhi Shi, Qiusong Chen, 2018, Construction and Building Materials.

High strain rate compressive strength behavior of cemented paste backfill using split Hopkinson pressure bar

Jian Zhou, Enming Li, Xin Chen, 2021 .

Improving the efficiency of microseismic source locating using a heuristic algorithm-based virtual field optimization method

Jian Zhou, Enming Li, Xiuzhi Shi, 2021 .

Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials

Danial Jahed Armaghani, Jian Zhou, Enming Li, 2019, Applied Sciences.

Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques

Enming Li, J. Sanchidrián, P. Segarra, 2023, International Journal of Mining Science and Technology.

Milling Tool Wear Prediction Method Based on Deep Learning Under Variable Working Conditions

Mingwei Wang, Jing Gao, Enming Li, 2020, IEEE Access.

Milling cutter wear prediction method under variable working conditions based on LRCN

Enming Li, Ziqiu Li, Changsen Yang, 2022, The International Journal of Advanced Manufacturing Technology.

Unraveling the Global Warming Mitigation Potential from Recycling Subway‐Related Excavated Soil and Rock in China Via Life Cycle Assessment

Enming Li, Xiaofeng Gao, G. Schiller, 2020, Integrated environmental assessment and management.

Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system

Danial Jahed Armaghani, Jian Zhou, Mohammadreza Koopialipoor, 2020, Bulletin of Engineering Geology and the Environment.

Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill

Jian Zhou, Danial Jahed Armaghani, Xin Chen, 2020, Engineering with Computers.

Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms

Jian Zhou, Enming Li, M. Khandelwal, 2021, Journal of Rock Mechanics and Geotechnical Engineering.

Improving the efficiency of microseismic source locating using a heuristic algorithm-based virtual field optimization method

Enming Li, Xiuzhi Shi, Y. Qiu, 2021, Geomechanics and Geophysics for Geo-Energy and Geo-Resources.

Construction and Application of Workshop Twin Model based on Group Systems Cognition

Enming Li, Jingtao Zhou, Mingwei Wang, 2023, 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).

BLESER: Bug Localization Based on Enhanced Semantic Retrieval pdf

Chunrong Fang, Weiqin Zou, Enming Li, 2021, ArXiv.

Artificial Neural Network Modeling as an Approach to Limestone Blast Production Rate Prediction: a Comparison of PI-BANN and MVR Models

Enming Li, Haile, B. O. Taiwo, 2023 .

Clamping force prediction based on deep spatio-temporal network for machining process of deformable parts

Enming Li, Changsen Yang, Jingtao Zhou, 2023, Scientific reports.

CNN-GRU network-based force prediction approach for variable working condition milling clamping points of deformable parts

Mingwei Wang, Jingtao Zhou, Enming Li, 2021, The International Journal of Advanced Manufacturing Technology.