XGBoost-Assisted Effluent Ammonium Buffer-First Aeration Scheduling for Wastewater Treatment Under Influent Disturbances: A BSM2 Study. [PDF]
Ren H +5 more
europepmc +1 more source
Consolidated FMEA–HAZOP safety management framework for WEC construction projects. ABSTRACT This study presents an advanced safety management framework for “Wave Energy Converter” (WEC) projects, addressing the inherent uncertainty, technological complexity, and environmental exposure of offshore renewable energy systems.
Panagiotis K. Marhavilas +4 more
wiley +1 more source
Adaptive spatiotemporal graph learning for multi-horizon probabilistic wind power forecasting. [PDF]
Hua D +5 more
europepmc +1 more source
Reinforcement Learning With Timed Constraints for Robotics Motion Planning
This work presents a unified automata‐based reinforcement learning framework that enforces MITL time‐bounded task specifications in both MDPs and POMDPs. Results from grid‐world and office scenarios show robust policy learning under stochastic dynamics and partial observability.
Zhaoan Wang +3 more
wiley +1 more source
Gaussian Process Regression for Tail Vehicle Departure Time Prediction at Signalized Intersections Using UAV Trajectory Data. [PDF]
Lu K, Liu Z, Zhang R, Xia Q, Wang R.
europepmc +1 more source
Overall, the findings provide reliable evidence for block‐level disease early warning, inspection prioritisation, and spray decision‐making, helping to reduce unnecessary inputs, lower environmental burdens, and improve the resilience and sustainability of vineyard production systems.
Shu Liang +16 more
wiley +1 more source
Label leakage unmasked: a trustworthy-AI audit of autism screening models using the CLEAR-RD framework. [PDF]
Ben Ammar B, Karamti W.
europepmc +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
A physics-driven machine learning framework for predicting XRD patterns, magnetization, and magnetocaloric response in rare-earth-doped double perovskite oxides. [PDF]
Meftah S +6 more
europepmc +1 more source
Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley +1 more source

