3-D Deployment of UAV-BSs for Effective Communication Coverage.

Towards lightweight excavation: Machine learning exploration of rock size distribution prediction after tunnel blasting.

LS-VIT: Vision Transformer for action recognition based on long and short-term temporal difference.

Application of supervised random forest paradigms based on optimization and post-hoc explanation in underground stope stability prediction.

Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation.

Hybridized random forest with population-based optimization for predicting shear properties of rock fractures.

Enhancing the performance of tunnel water inflow prediction using Random Forest optimized by Grey Wolf Optimizer.

Feature Fusion for Dual-Stream Cooperative Action Recognition.

Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion.

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration.

Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction.

Joint Modulation Format Identification and Optical Signal-to-Noise Ratio Monitoring Based on Ternary Neural Networks.

Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting.

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate.

Sensitivity Analysis for Urban Drainage Modeling Using Mutual Information.

Reliability Analysis of Free Jet Scour Below Dams.

Maximum-Entropy Method for Evaluating the Slope Stability of Earth Dams.