Results 181 to 190 of about 219,190 (262)

Toward Enhanced Safety Management in Wave Energy Power Plant Construction Projects: FMEA and HAZOP Combination

open access: yesSafety Science and Technology, EarlyView.
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

Reinforcement Learning With Timed Constraints for Robotics Motion Planning

open access: yesArtificial Intelligence for Engineering, EarlyView.
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

Multi‐Vine Disease Prediction in a Field Test Spanning Whole Growth Season at Wine‐Industrial Site (McLaren Vale)

open access: yesArtificial Intelligence for Engineering, EarlyView.
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

Review on enhancing clinical decision support system using machine learning

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

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