AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing by Rajnish Rakholia, Andres L. Suarez-Cetrulo, Manokamna Singh, Ricardo Simon Carbajo

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Integrating Gut Microbiome and Metabolomics with Magnetic Resonance Enterography to Advance Bowel Damage Prediction in Crohn’s Disease by Huang L, Meng J, Lin S, Peng Z, Zhang R, Shen X, Zheng W, Zheng Q, Wu L, Wang X, Wang Y, Mao R, Sun C, Li X, Feng ST

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Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model by Songchang Chen, Jia Li, Xiao Zhang, Wenqiu Xu, Zhixu Qiu, Siyao Yan, Wenrui Zhao, Zhiguang Zhao, Peirun Tian, Qiang Zhao, Qun Zhang, Weiping Chen, Huahua Li, Xiaohong Ruan, Gefei Xiao, Sufen Zhang, Liqing Hu, Jie Qin, Wuyan Huang, Zhongzhe Li, Shunyao Wang, Rui Zhang, Shang Huang, Xin Wang, Yao Yao, Jian Ran, Danling Cheng, Qi Luo, Teng Pan, Ruyun Gao, Jing Zheng, Yuxuan Wang, Cong Liu, Xianling Cao, Xuanyou Zhou, Naixin Xu, Lanlan Zhang, Xu Han, Haolin Wang, Suihua Feng, Shuyuan Li, Jianguo Zhang, Lijian Zhao, Fengxiang Wei

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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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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

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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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Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

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

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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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Machine learning-based exploration of the associations between multiple minerals' intake and thyroid dysfunction: data from the National Health and Nutrition Examination Survey by Shaojie Liu, Shaojie Liu, Weibin Huang, Yaming Lin, Yifei Wang, Hongjin Li, Xiaojuan Chen, Yijia Zou, Bo Chen, Baochang He, Zhiping Yang, Jing Fan

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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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Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the... by Ali Omidkar, Razieh Es'haghian, Hua Song

Subjects: “…machine learning model…”
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Spatial analysis of county-level determinants of overdose mortality in the United States using spatial machine learning by Amir Hossein Ebrahimi, Ali Asghar Alesheikh, Aynaz Lotfata

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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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Machine learning gene expression predicting model for ustekinumab response in patients with Crohn's disease by Manrong He, Chao Li, Wanxin Tang, Yingxi Kang, Yongdi Zuo, Yufang Wang

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Navigating Samarinda's climate: A comparative analysis of rainfall forecasting models by Mislan, Andrea Tri Rian Dani

Subjects: “…Traditional and Machine Learning Models in Forecasting: Exponential Smoothing, ARIMA, NN…”
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