Results 151 to 160 of about 6,836 (219)

Machine Learning Potential for Ga–In Alloy Melting

Materials Genome Engineering Advances, EarlyView.
Liquid metals are essential for flexible electronics and soft robotics, yet their melting behavior remains difficult to predict. This work benchmarks machine‐learning potentials and introduces a local Lindemann approach for melting‐temperature calculations in disordered alloys, enabling realistic large‐scale simulations and advancing liquid‐metal ...
Chen Hua, Jing Liu
wiley   +1 more source

Morton Code-Based Geometry-Adaptive Surface Reconstruction. [PDF]

J Imaging
Huang Z, Fan R, Miao Y.
europepmc   +1 more source

Advancing the Volumetric Analysis of Ultra‐Low‐Field Brain MRI Using Image‐to‐Image Translation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI offers a promising path to accessible neuroimaging, with potential to address global healthcare disparities and advance population‐level brain health research. However, the inherently low signal‐to‐noise ratio (SNR), reduced spatial resolution, and altered tissue contrasts relative to conventional high‐field ...
Peter Hsu, Elisa Marchetto, Patricia M. Johnson, Jelle Veraart   +3 more
wiley   +1 more source

Uncertainty aware hybrid learning framework for fast and safe charging of lithium-ion batteries using multi-fidelity observers. [PDF]

Sci Rep
Parimala CHH, Varma PS, Kumar RS, Singh AR, Mohapatra B, Addis HK.   +5 more
europepmc   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source

S2-HGNN: Scale-Aware Hypergraph Node Classification with Spectral Inductive Bias. [PDF]

Entropy (Basel)
Zhou J, Zhang S, Wu B, Wang Q, Wu C, Luo Z, Sun K, Mao H.   +7 more
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

DyReMamba for efficient point cloud analysis with dynamic reordering and bidirectional state space modeling. [PDF]

Sci Rep
Li Z, Wang N, Hong M, Huang C, Liu X, Yuan L, Chen R, Wang W, Guan S, Guo M.   +9 more
europepmc   +1 more source

Trade Unions and Sustainability: An Integrative Review

Sustainable Development, EarlyView.
ABSTRACT Despite the growing presence of trade unions (TUs) in sustainability discussions, academic research on their role is still scattered. This article presents an integrative review of 110 peer‐reviewed English‐language academic articles on this topic, indexed in Scopus and Web of Science and published between 1997 and early 2025.
Branko Bembič, Urša Golob, Klement Podnar   +2 more
wiley   +1 more source