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21

Comparative analysis of regression models to predict the performance of the dual fuel engine operating on diesel and hydrogen gas
Priya S ; C. Feenita ; Uday Goel ; et al.
International Journal of Hydrogen Energy. 141:585-597

Regression Models Machine Learning Algorit... Dual Fuel Engine Hydrogen
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22

Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model
Sanghwa Lee ; Hyunhee Kwon ; Jeongmin Oh ; et al.
Int J Nanomedicine
International Journal of Nanomedicine, Vol Volume 20, Iss Issue 1, Pp 6743-6755 (2025)

machine learning algorit... Medicine (General) R5-920 liver function discriminant analysis Liver ischemia-reperfusi... …
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23

Multimedia Information Technology and Applications
Kim, Byung-Gyu ; Sekiya, Hiroo ; Lee, Deokwoo

Open Access Machine Learning Algorit... Mobile Information Proce... Computer Vision Represen... Multimedia Information S... Artificial intelligence …
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24

Active learning on large hyperspectral datasets: a preprocessing method
Thoreau, R. ; Achard, Véronique ; Risser, L. ; et al.
XXIV ISPRS Congress. :435-442

Nice, France Spectroscopy Semantics Semantic Segmentation Remote sensing Machine learning …
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26

Bilinear quantum recurrent neural network-based real-time adaptive controller
Hanna, Youssef F. ; El-Nagar, Ahmad M. ; El-Bardini, Mohammad ; et al.
Neural Computing and Applications. :1-32

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27

Identification of Artificial Groundwater Recharge Zones in Municipal Area of Coal Capital of India: An Integrated GIS and Machine Learning Based Approach
Kumar, Aman ; Sharma, Rohit ; Paswan, Rajesh Kumar
Iranian Journal of Science and Technology, Transactions of Civil Engineering. :1-21

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28

Nationwide Trends in Type 1 and Type 2 Diabetes in France (2010–2019): A Population-Based Study Using a Machine Learning Classification Algorithm
Fagherazzi, Guy ; Serusclat, Pierre ; Roux, Barbara ; et al.
Diabetes Therapy: Research, treatment and education of diabetes and related disorders. :1-19

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29

MLWNNR: LncRNA-Disease Association Prediction with Multi-Kernel Learning-Driven Weighted Nuclear Norm Regularization
Xie, Guo-Bo ; Xu, Hao-Jie ; Gu, Guo-Sheng ; et al.
Interdisciplinary Sciences: Computational Life Sciences. 17(3):673-690

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30

Machine learning can predict surgical indication: new clustering model from a large adult spine deformity database
Baroncini, Alice ; Larrieu, Daniel ; Bourghli, Anouar ; et al.
European Spine Journal. 34(9):3659-3669

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31

Advancing industrial carbon emission efficiency in Chinese cities: integrating Dual-Constrained clustering with NCPSO-BP forecasting and XGBoost analysis
Yin, Jian ; Tu, Xiyue ; Meng, Yini
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development. :1-31

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32

Optimizing internet bandwidth allocation and service prioritization in SME networks using machine learning algorithm
Salise, Jimvy P. ; Rojo, Jay Noel N.
International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth's Institute of Computer Applications and Management. :1-9

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33

Model for detecting fake news using a machine learning algorithm
Sonowal, Gunikhan ; Balaji, V. ; Kumar, Naresh
CSI Transactions on ICT. :1-12

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34

Machine learning based framework for quality prediction in millet flour-infused noodles
Sildas, Vanila ; Manimehalai N. ; Ananthanarayanan, Rathinam ; et al.
Journal of Food Science and Technology. :1-8

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35

Evaluation and Application of the PT-JPL Physical Model Optimized with XGBoost Algorithm in Latent Heat Flux Estimation
Wang, Lizheng ; Kong, Jinling ; Zhang, Qiutong ; et al.
Water Resources Management: An International Journal - Published for the European Water Resources Association (EWRA). 39(10):4971-4988

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36

A framework for prediction of extrusion responses using machine learning algorithm
Manohar, Grandhi ; Francy, K. Anupama ; Rao, Ch. Srinivasa
International Journal on Interactive Design and Manufacturing (IJIDeM). 19(8):5825-5838

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37

Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks
Bramareswara Rao, S. N. V. ; Kumar, Y. V. Pavan ; Amir, Mohammad ; et al.
Electrical Engineering: Archiv für Elektrotechnik. 107(7):8481-8498

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38

Smart Cushions with Machine Learning-Enhanced Force Sensors for Pressure Injury Risk Assessment
Xiang, Xinhao ; Zhang, Ke ; Qin, Yi ; et al.
ACS Applied Materials & Interfaces. 16(29):38466-38477

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40

​​Forensic discrimination of sex from thermally treated human hair using ATR-FTIR spectroscopy and machine learning
Gunashree, BS ; Thomas, Mebin Wilson ; Rawat, Suchita ; et al.
The Science of Nature: Naturwissenschaften. 112(6)

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