Results 241 to 250 of about 1,717,828 (345)
Real-Time Communication-Aware Ride-Sharing Route Planning for Urban Air Mobility: A Multi-Source Hybrid Attention Reinforcement Learning Approach [PDF]
Yuejiao Xie +4 more
openalex
Reinforcement Learning Techniques in Optimizing Energy Systems [PDF]
Stefan Stavrev, Dimitar Ginchev
openalex +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Influence of Training-Testing Data Variation on ML-Based Deflection Prediction of GFRP-Reinforced High-Strength Concrete Beams. [PDF]
Karabulut M.
europepmc +1 more source
Multi-Agent Deep Reinforcement Learning-Based RIS-Aided UAV Communications
Yang Chen +2 more
openalex +1 more source
Microstructural evolution and hardness optimization along the cross‐section of friction stir welded AA6061/AlSi10MgMn joints, for electric vehicle battery housings, were investigated. Postweld aging between 170°C and 220°C enhances hardness uniformity within the nugget zone.
Emanuele Ghio, Emanuela Cerri
wiley +1 more source
Damage mechanism investigation on fiber reinforced recycled cement aggregate concrete in a cold region. [PDF]
Li W, Li Z, Xu W, Ji Y.
europepmc +1 more source
Learning Interactive World Model for Object-Centric Reinforcement Learning [PDF]
Feng, Fan +2 more
openalex
Understanding Reward Hacking in Text-to-Image Reinforcement Learning
Yunqi Hong +3 more
openalex +1 more source
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart +3 more
wiley +1 more source

