Results 181 to 190 of about 3,746,451 (299)

Students' stress prediction and explainable analysis based on improved decision trees. [PDF]

Front Psychol
Liu C, Yu S.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
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, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Using interpretable decision trees to explore TB-HIV integration under data constraints: a proof-of-concept analysis. [PDF]

Front Tuberc
Dlatu N, Faye LM, Hosu MC, Apalata T.
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 hybrid feature selection framework combining Artificial Bee Colony and decision trees for CVD risk assessment. [PDF]

Sci Rep
Pavithra V, Raja JE, Patil S.
europepmc   +1 more source

Decision trees to evaluate the risk of developing multiple sclerosis. [PDF]

Front Neuroinform, 2023
Pasella M, Pisano F, Cannas B, Fanni A, Cocco E, Frau J, Lai F, Mocci S, Littera R, Giglio SR.   +9 more
europepmc   +1 more source

Human decision error (HUMDEE) trees

, 1993
Graphical presentations of human actions in incident and accident sequences have been used for many years. However, for the most part, human decision making has been underrepresented in these trees. This paper presents a method of incorporating the human
Ostrom, L. T.
core  

Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy

Advanced Science, EarlyView.
A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim, Hyeondeok Shin, Kyungju Nam, Seunghyo Noh, Donghwi Kim, Yousung Jung   +5 more
wiley   +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

The cervicovertebral angle as an associated factor of neck pain in female manufacturing workers: a dual-model cutoff analysis using logistic regression and decision trees. [PDF]

BMC Musculoskelet Disord
Han SY, Hwang UJ, Lee YJ, Ahn IK, Won YJ, Moon JH, Kwon OY.   +6 more
europepmc   +1 more source