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141

Bayesian Optimization–Based Physics‐Informed Neural Network for Adaptive Prediction of Multiaxial Fatigue Life in Metallic Materials.
Zhang, Dongxu ; Dai, Wenhao ; Ding, Yawei
Fatigue & Fracture of Engineering Materials & Structures. Jan2026, Vol. 49 Issue 1, p28-51. 24p.

FATIGUE life MACHINE learning STATISTICAL learning DYNAMIC loads STOCHASTIC analysis ALLOYS …
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142

A Statistical Approach to Hyperparameter Tuning of Deep Learning for Construction Machine Classification.
Ottoni, André Luiz C. ; Novo, Marcela S. ; Oliveira, Marcos S.
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Apr2024, Vol. 49 Issue 4, p5117-5128. 12p.

DEEP learning MACHINE learning IMAGE recognition (Compu... COMPUTER vision CONVOLUTIONAL neural net... CIVIL engineering
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143

Traditional Machine Learning Outperforms EEGNet for Consumer-Grade EEG Emotion Recognition: A Comprehensive Evaluation with Cross-Dataset Validation.
Paredes Ocaranza, Carlos Rodrigo ; Yun, Bensheng ; Paredes Ocaranza, Enrique Daniel
Sensors (14248220). Dec2025, Vol. 25 Issue 23, p7262. 39p.

MACHINE learning EMOTION recognition DEEP learning BRAIN-computer interface... FEATURE selection ELECTROENCEPHALOGRAPHY
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144

Enhancing production planning in metal-mechanical industries: statistical analysis and machine learning approach for predicting machine failures.
Cardoso, Valdir Henrique ; de Oliveira Neto, Geraldo Cardoso ; da Silva, Rodrigo Neri Bueno ; et al.
Journal of Industrial & Production Engineering. Sep 2025, Vol. 42 Issue 6, p571-586. 16p.

PRODUCTION planning MACHINE learning BIG data MACHINE part failures DECISION making INTERNET of things …
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145

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146

Developing empirical indices for structural engineering problems via machine learning.
Naser, M.Z. ; Hawileh, Rami
Engineering Structures. Jan2026:Part A, Vol. 346, pN.PAG-N.PAG. 1p.

MACHINE learning STRUCTURAL engineering DATA analysis SCIENTIFIC method EMPIRICAL research ENGINEERING reliability...
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147

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148

Parameter selection and application on the smoothly clipped absolute deviation method
Yang, Qiqiang ; Zi, Xuemin
2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA) Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA), 2022 3rd International Conference on. :1162-1165 May, 2022

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149

Deep feature engineering for accurate sperm morphology classification using CBAM-enhanced ResNet50.
Kılıç, Şafak
PLoS ONE. 9/10/2025, Vol. 20 Issue 9, p1-26. 26p.

DEEP learning FERTILITY COMPUTER-assisted image... SEMEN analysis FEATURE selection AUTOMATIC classification
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150

Development of a Novel Machine Learning Method for Estimation of Life‐Long Chronic Disease Progression and Its Application to Type 2 Diabetes.
Sano, Yamato ; Jin, Ryota ; Yoshioka, Hideki ; et al.
CTS: Clinical & Translational Science. Oct2025, Vol. 18 Issue 10, p1-12. 12p.

TYPE 2 diabetes DISEASE progression DYNAMIC models CLINICAL trials TREATMENT effectiveness CHRONIC diseases …
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151

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152

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153

Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach.
Hussain, Javid ; Zafar, Tehseen ; Fu, Xiaodong ; et al.
Scientific Reports. 12/30/2024, Vol. 14 Issue 1, p1-25. 25p.

MACHINE learning STANDARD deviations CARBONATE rocks QUALITY control standard... AUTOMATIC control system... DOLOMITE
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154

A Comparative Analysis of Startups Applying AI in Clinical Oncology
Meca, Alba ; Ali, Maaruf
2024 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA) Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA), 2024 International Conference on. :37-45 Dec, 2024

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155

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156

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157

Conditional diffusion to enhance performance of object detection in unbalanced data engineering drawings.
Stefenon, Stefano Frizzo ; Cristoforetti, Marco ; Cimatti, Alessandro
Neural Computing & Applications. Aug2025, Vol. 37 Issue 24, p20335-20364. 30p.

DEEP learning DATA augmentation STABLE Diffusion STATISTICAL accuracy ENGINEERING drawings OBJECT recognition (Comp...
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158

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160

Accelerating promoter identification and design by deep learning.
Wang, Xinglong ; Xu, Kangjie ; Huang, Zhongshi ; et al.
Trends in Biotechnology. Dec2025, Vol. 43 Issue 12, p3071-3087. 17p.

DEEP learning PROMOTERS (Genetics) PREDICTION algorithms STATISTICAL models PROBABILISTIC generative... BIOTECHNOLOGY …
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