Results 191 to 200 of about 29,876 (304)

Ancient architecture image classification with progressive stacking pseudoinverse learning. [PDF]

Sci Rep
Cai Z, Sun X, Zhang S, Zhao Z, Wu P.
europepmc   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Deep learning image reconstruction optimizes coronary artery calcium quantification. [PDF]

Front Cardiovasc Med
Zhou T, Liu M, Wu T, Zhang M, Dong J, Ma Z, Li Y, Ba X.   +7 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction. [PDF]

Bioinformatics
Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R.   +6 more
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Evaluating the dual-energy iterative reconstruction algorithm (DIRA) for accurate CT number determination in DECT imaging. [PDF]

Radiat Prot Dosimetry
Magnusson M, Sandborg M, Carlsson Tedgren Å, Malusek A.   +3 more
europepmc   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Preoperative localization of pulmonary nodules using ultra-low-dose CT based on artificial intelligence iterative reconstruction. [PDF]

Quant Imaging Med Surg
Lan H, Liu X, Ou D, Zhong S, Zhong H, Liang M.   +5 more
europepmc   +1 more source

Inertial Iterative Algorithm of Generalized f - Projection Method for Fixed point Problem, Maximal Monotone Operators and Generalized Mixed Equilibrium Problems

The aim of this article is to investigate fixed point problem, maximal monotone operators and generalized mixed equilibrium problems by considering the generalized f− projection technique.
Umar, L., Haruna, I. U., Tafida, M. K.
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