Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen +4 more
wiley +1 more source
Mapping service capabilities using ISM and fuzzy DEMATEL. [PDF]
Li T, Lv D, Khosroanjom D.
europepmc +1 more source
This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa +3 more
wiley +1 more source
Quality of basketballs of international level sports using an intelligent decision algorithm involving multiple experts. [PDF]
Mao C.
europepmc +1 more source
Population-Level Analysis of Personalized Food Recommendation Using Reinforcement Learning. [PDF]
Tellechea Y +3 more
europepmc +1 more source
An energy aware cluster inspired routing protocol using multi strategy improved crayfish optimization algorithm for guaranteeing green communication in IoT. [PDF]
Chithra R +3 more
europepmc +1 more source
Evaluating blockchain-based waste management investments in smart cities using a multi-criteria decision support framework. [PDF]
Shahab S +4 more
europepmc +1 more source
An algorithm for heterogeneous wireless network connections for user preferences and services. [PDF]
Krishnan SD +6 more
europepmc +1 more source
Assessing carbon-neutral supercapacitors in renewable energy systems with self-improving agent-based molecular fuzzy intelligent algorithms. [PDF]
Castillo O, Dinçer H, Yüksel S, Eti S.
europepmc +1 more source

