Results 181 to 190 of about 314,466 (322)
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Hybrid fixed point theorems of graphic contractions with applications. [PDF]
Jiddah JA+4 more
europepmc +1 more source
Common Fixed Point Theorems for Almost Weakly Periodic Nonexpansive Mappings [PDF]
Kok-Keong Tan
openalex +1 more source
In this study, a deep reinforcement learning framework with multi‐line‐of‐sight guidance is proposed. An augmented‐twin delayed deep deterministic policy gradient algorithm adapts to attitude changes efficiently, reducing computational costs. Simulations show 30.8% faster training and mitigates rudder/exergy issues, validated by an X‐rudder autonomous ...
Chengren Yuan+5 more
wiley +1 more source
Let us consider an alternative perspective on climate change: The sum of solar radiation and heat generated by human activity result in a net energy input of 1.96 times that of the Sun on the Earth's surface. The expanding global population is expected to exacerbate this issue. Potential solutions are proposed, including replacement and heat recycling.
Martin Bertau, Gerald Steiner
wiley +1 more source
Fixed point theorems for set-valued mappings of contractive type [PDF]
Nadim A. Assad, W. A. Kirk
openalex +1 more source
Multi‐UAV systems face challenges in adversarial environments due to limited adaptability and interpretability. This study proposes a self‐organized approach using hierarchical probabilistic graphical models with density‐driven parameter estimation.
Yixin Huang+5 more
wiley +1 more source
Common Coupled Fixed Point Theorems for Two Hybrid Pairs of Mappings under φ-ψ Contraction. [PDF]
Deshpande B, Handa A.
europepmc +1 more source
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu+8 more
wiley +1 more source
A fixed point theorem for families on nonexpansive mappings [PDF]
Teck Cheong Lim
openalex +1 more source