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141

A data-driven framework for microgrid design integrating machine learning model with economic-energy-environmental parameters
Bukar, Abba Lawan ; Kassas, Mahmoud ; Abido, Mohammad A. ; et al.
In Renewable Energy Focus March 2026 56

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142

A data-driven machine learning approach for predicting axial load capacity in steel storage rack columns
Mammadli, Bakhtiyar ; Yazici, Casim ; Gürbüz, Muhammed ; et al.
In Results in Engineering December 2025 28

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143

Bandgap tuned indaceno based polymer design by machine learning for chemical space by descriptor designing and data guidelines
Sumrra, Sajjad H. ; Güleryüz, Cihat ; Hassan, Abrar U. ; et al.
In Materials Science in Semiconductor Processing December 2025 200

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144

Mapping the digital innovation ecosystem with machine learning: efficiency, drivers, and regional heterogeneity across China's provinces
Li, Ling ; Meng, Zhongxiu ; Zhao, Wenhao ; et al.
In Information Processing and Management November 2025 62(6)

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145

A case study of ChatGPT-assisted building of a microbiome-based machine learning model for biologists.
Yang H ; Xie D ; Wei P ; et al.
Publisher: American Society for Microbiology Country of Publication: United States NLM ID: 101543341 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1935-7877 (Print) Linking ISSN: 19357877 NLM ISO Abbreviation: J Microbiol Biol Educ Subsets: PubMed not MEDLINE

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146

“Machine Learning-Based Diabetes Prediction Using Support Vector Machine in Python".
Hari, Nidhish P. ; Kabilan, Sri Hari ; J. S., Sarobin ; et al.
International Scientific Journal of Engineering & Management; Jul2025, Vol. 4 Issue 7, p1-7, 7p

CLINICAL decision suppor... SUPPORT vector machines MACHINE learning DIAGNOSIS DIABETES PEOPLE with diabetes
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147

Next-generation non-linear and collapse prediction models for short- to long-period systems via machine learning methods
Shahnazaryan, Davit ; O’Reilly, Gerard J.
In Engineering Structures 1 May 2024 306

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150

A modular Python framework for rapid development of advanced control algorithms for energy systems
Eser, Steffen ; Storek, Thomas ; Wüllhorst, Fabian ; et al.
In Applied Energy 1 May 2025 385

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151

Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model
Mazin Fahad Alahmadi ; Mustafa Tahsin Yilmaz
Data Science in Finance and Economics, Vol 5, Iss 1, Pp 105-135 (2025)

python initial public offering... machine learning algorit... HG1-9999 Statistics multinomial logistic reg... …
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152

Understanding Flaky Tests Through Linguistic Diversity: A Cross-Language and Comparative Machine Learning Study
Azeem Ahmad ; Xin Sun ; Muhammad Rashid Naeem ; et al.
IEEE Access, Vol 13, Pp 54561-54584 (2025)

Datorsystem machine learning Computer Systems Flaky tests software testing Electrical engineering.... …
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153

A lightweight deep learning model for fault detection of PV modules using thermal images
Jimenez, Keony ; Cano, Juan B. ; Velilla, Esteban
In Solar Energy January 2026 303

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154

An enhanced machine learning covering-based bipolar L-fuzzy rough set PROMETHEE model for battery storage systems in renewable energy
Tufail, Faiza ; Gul, Rizwan ; Shabir, Muhammad ; et al.
In Expert Systems With Applications 25 August 2025 287

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155

Warpage prediction of fan-out wafer-level package based on coupled deep learning and finite element simulation
Zhao, Xiaohui ; Zheng, Hao ; Zhao, Zhiyan ; et al.
In Microelectronics Reliability July 2025 170

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156

ZenGuard a machine learning based zero trust framework for context aware threat mitigation using SIEM SOAR and UEBA.
Hassan A ; Rauf A ; Shafqat N ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

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158

Machine learning for fault detection in refrigeration systems using difluoromethane refrigerant
Nguyen, Tue Duy ; Bui, Ha Manh
In Sustainable Chemistry One World September 2025 7

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159

Alfalfa stem count estimation using remote sensing imagery and machine learning on Google Earth Engine
Bahrami, Hazhir ; Chokmani, Karem ; Homayouni, Saeid ; et al.
In International Journal of Applied Earth Observation and Geoinformation August 2025 142

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160

Key factors and tactical variations in Chinese national women's softball games: a machine learning-based identification.
Li, Hanyao ; Cheng, Gang ; Zhang, Tianfeng
Frontiers in Sports & Active Living. 2025, p1-15.

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