Results 211 to 220 of about 728 (277)
This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
wiley +1 more source
An Effective Training using the Onboard Ship-handling Simulator
Akira KOYANO +3 more
openaire +2 more sources
We evaluated demographic responses of an enclosed population of brown treesnakes to two experimental perturbations: supplemental feeding followed by removal of the adult and sub‐adult cohort 2 years later. Our results indicate that adding food to the system increased the population growth rate by 50% within 6 months and that removing the adults and ...
Amanda M. Kissel +5 more
wiley +1 more source
Sensing in Inland Waters to Promote Safe Navigation: A Case Study in the Aveiro's Lagoon. [PDF]
Carvalho DM, Dias JM, de Abreu JF.
europepmc +1 more source
Representation of Light of Aids to Navigation in Ship Handling Simulator
Miyazaki, Keiko +2 more
openaire +2 more sources
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Early warning study of field station process safety based on VMD-CNN-LSTM-self-attention for natural gas load prediction. [PDF]
Zhao W +5 more
europepmc +1 more source
A Study on Operator's Body Sway in Visual Simulation of Ship Handling Simulator
Koji MURAI +3 more
openaire +2 more sources
Hydrogen to Power: Exploring Current Developments and Future Challenges
As the interest in low‐carbon energy systems grows, hydrogen continues to attract attention as a flexible energy carrier for power applications. Developments in hydrogen production, storage, transport, and utilization are explored. In addition, the deployment challenges of hydrogen energy vector related to economics, infrastructure, safety, and ...
Md. Shafiullah +6 more
wiley +1 more source
Sparsity Applications for Gradient‐Based Optimization of Wind Farms
ABSTRACT Optimizing wind farms is essential for designing efficient energy systems, especially as farms grow larger and span multiple sites. However, this optimization becomes increasingly challenging due to the rising computational cost associated with more turbines.
Benjamin Varela, Andrew Ning
wiley +1 more source

