Results 211 to 220 of about 163,989 (311)
SPNOA: An Improved Nutcracker Optimizer Based on Specular Reflection Learning and Probability-Driven Hybrid Mutation Strategy for Global Optimization. [PDF]
Yao X, Fang C.
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
CLA-GWO: A Bio-Inspired Closed-Loop Adaptive Grey Wolf Optimizer for the Traveling Salesman Problem. [PDF]
Wang S, Zhang Y, Kong X.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Grouping-Based and Position-Based Phase Optimization for RIS-Assisted Millimeter-Wave Vehicular Communications. [PDF]
Xu Z, Yu G, Luo Y.
europepmc +1 more source
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
A Hybrid Multi-Strategy Chinese Pangolin Optimization Algorithm and Its Applications. [PDF]
Jia C +6 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
A survey of machine learning for estimating workload: considering unknown tasks. [PDF]
Bhagat Smith J, Adams JA.
europepmc +1 more source

