Modelling site-specific outdoor temperature for buildings in urban environments by Krzysztof Cebrat, Jan Narożny, Magdalena Baborska-Narożny, Marta Smektała

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Application of machine learning models in predictive maintenance of Francis hydraulic turbines by Júlio César Silva de Souza, Oswaldo Honorato Júnior, Geraldo Lúcio Tiago Filho, Otávio Augusto Salgado Carpinteiro, Hailton Silveira Domingues Biancardine Júnior, Ivan Felipe Silva dos Santos

Subjects: “…Machine Learning Model, Multilayer Perceptron (MLP)…”
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Development of hybrid stacking machine learning for evaluating parameters affecting refrigerated shrimp coated with chitosan-loaded Salvia officinalis nanoemulsions by Mehran Sayadi, Elahe Abedi, Najmeh Oliyaei, Maryam Mousavifard

Subjects: “…Hybrid stacking machine learning model…”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

Subjects: “…Advanced machine learning model…”
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Assessment of the effect of the process-induced porosity defects on the fatigue properties of wire arc additive manufactured Al–Si–Mg alloy by Teng Zhan, Ke Xu, Zhipeng Fan, Hanlin Xiang, Congchang Xu, Tianjiao Mei, Yuanyuan Wei, Wentao Chen, Luoxing Li

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Contrast-enhanced mammography-based interpretable machine learning model for the prediction of the molecular subtype breast cancers by Mengwei Ma, Weimin Xu, Jun Yang, Bowen Zheng, Chanjuan Wen, Sina Wang, Zeyuan Xu, Genggeng Qin, Weiguo Chen

Subjects: “…Interpretable machine learning model…”
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Novel hybrid intelligence model for early Alzheimer's diagnosis utilizing multimodal biomarker fusion by Shehu Mohammed, Neha Malhotra, Arun Singh, Awad M. Awadelkarim, Shakeel Ahmed, Saiprasad Potharaju

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Amino acid-based risk stratification model improves prognostic precision in diffuse large B-cell lymphoma by Chaowei Zhang, Mingyue Cai, Weiyi Yao, Qing Hong, Yuxuan Han, Na Chen

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Evaluating the Accuracy of Land-Use Change Models for Predicting Vegetation Loss Across Brazilian Biomes by Macleidi Varnier, Eliseu José Weber

Subjects: “…machine learning models…”
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Machine Learning Radiomics for Predicting Response to MR-Guided Radiotherapy in Unresectable Hepatocellular Carcinoma: A Multicenter Cohort Study by Su K, Liu X, Zeng YC, Xu J, Li H, Wang H, Du S, Wang H, Yue J, Yin Y, Li Z

Subjects: “…Machine learning models…”
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Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis by Zhipeng He, Chun Ouyang, Laith Alzubaidi, Alistair Barros, Catarina Moreira

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Comparison of machine learning models for coronavirus prediction by B. K. Amos, I. V. Smirnov, M. M. Hermann

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A Comprehensive Analysis and Detection Methodology Using Near-Infrared (NIR) Spectroscopy to Unveil the Deceptive Practice of Milk Adulteration by Geetika Porwal, Kusumlata Jain, Smaranika Mohapatra, Veena Dhayal, Ishita Chopra

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Determinants Factors in Predicting Life Expectancy Using Machine Learning by B. Kouame Amos, I. V. Smirnov

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Predicting water-based drilling fluid filtrate volume in close to real time from routine fluid property measurements by Shadfar Davoodi, Mohammed Ba Geri, David A. Wood, Mohammed Al-Shargabi, Mohammad Mehrad, Alireza Soleimanian

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Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

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Application of machine learning models to explore prognosis and cause of death in advanced intrahepatic cholangiocarcinoma patients undergoing chemotherapy by Qin Zeng, Xin Wang, Jun Liu, Yiqing Jiang, Guili Cao, Ke Su, Xiaoqin Liu

Subjects: “…Machine learning models…”
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Integrated Machine Learning Models for Bakery Product Defect Prediction by Nataliia Zaiets, Nataliia Lutska, Lidiia Vlasenko

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Comparing the Estimation Power of Machine Learning Models and Statistical Models in Predicting Profit Component Changes and Selecting the Optimal Model by Maryam Izadi, Ali Ashtab, Akbar Zavari Rezaei

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Impact of national e-commerce demonstration city pilot policy on urban carbon emission efficiency: From the perspective of soft and hard environments by YUE Li, WANG Xinran

Subjects: “…national e-commerce demonstration city|pilot policy|carbon emission efficiency|difference-in-differences model|double machine learning model|soft environment|hard environment…”
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