Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics for Windowed Kinetic Data by Ileana Baldi, Corrado Lanera, Mohammad Junayed Bhuyan, Paola Berchialla, Luca Vedovelli, Dario Gregori

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Renewal of the Concept of Diverse Education: Possibility of Further Education Based on a Novel AI-Based RF–ISSA Model by Enhui Li, Zixi Wang, Jin Liu, Jiandong Huang

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A Hybrid Mangrove Identification Method by Combining the Time-Frequency Threshold of the Mangrove Index With a Random Forest Binary Classifier by Zhuokai Jian, Bin Ai, Jiali Zeng, Yuchao Sun

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Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors by Konstantinos X Soulis, Evangelos E Nikitakis, Aikaterini N Katsogiannou, Dionissios P Kalivas

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Random Forest-Based Prediction Model for Stiffness Degradation of Offshore Wind Farm Submarine Soil by Ben He, Mingbao Lin, Xinran Yu, Zhishuai Zhang, Song Dai

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The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning by Fatemeh Bahrambanan, Meysam Alizamir, Kayhan Moradveisi, Salim Heddam, Sungwon Kim, Seunghyun Kim, Meysam Soleimani, Saeid Afshar, Amir Taherkhani

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Source Code Error Understanding Using BERT for Multi-Label Classification by Md Faizul Ibne Amin, Yutaka Watanobe, Md Mostafizer Rahman, Atsushi Shirafuji

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Leveraging machine learning to predict residential location choice: A comparative analysis by Vahid Noferesti, Hamid Mirzahossein

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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

Subjects: “…Malicious URLs, Machine Learning, Cybersecurity, Logistic Regression, Random Forest, Support Vector Machines…”
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Automated Computer Vision System for Urine Color Detection by Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera

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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

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PREDICTION OF TBM OIL TEMPERATURE BY IMPROVED CAMEL ALGORITHM ASSISTED RANDOM FOREST MODEL (MT) by REN JianJi, ZHAO RunQiu, WANG ZhenXi, LIU YuMing, YUAN YongLiang

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Noninvasive imaging biomarker reveals invisible microscopic variation in acute ischaemic stroke (≤ 24 h): a multicentre retrospective study by Kui Sun, Rongchao Shi, Xinxin Yu, Ying Wang, Wei Zhang, Xiaoxia Yang, Mei Zhang, Jian Wang, Shu Jiang, Haiou Li, Bing Kang, Tong Li, Shuying Zhao, Yu Ai, Jianfeng Qiu, Haiyan Wang, Ximing Wang

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How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method by Jie Sheng, Zhenhai Xiang, Pengfei Ban

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Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analys... by Jin Kyung Oh, Yuri Seo, Wonmook Hwang, Sami Lee, Yong-Hoon Yoon, Kyupil Kim, Hyun Woong Park, Jae-Hyung Roh, Jae-Hwan Lee, Minsu Kim

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Taba Binary, Multinomial, and Ordinal Regression Models: New Machine Learning Methods for Classification by Mohammad Tabatabai, Derek Wilus, Chau-Kuang Chen, Karan P. Singh, Tim L. Wallace

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XCO₂ Data Full-Coverage Mapping in China Based on Random Forest Models by Ruizhi Chen, Zhongting Wang, Chunyan Zhou, Ruijie Zhang, Huizhen Xie, Huayou Li

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Unsupervised machine learning model for phenogroup-based stratification in acute type A aortic dissection to identify postoperative acute gastrointestinal injury by Yuhu Ma, Xiaofang Yang, Chenxiang Weng, Xiaoqing Wang, Baoping Zhang, Ying Liu, Rui Wang, Zhenxing Bao, Peining Yang, Hong Zhang, Yatao Liu

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Evaluation of Price Prediction of Houses in a Real Estate via Machine Learning by A. A. Ibrahim, O. A. Ayilara-Adewale, A. A. Alabi, D. A. Olusesi

Subjects: “…Prediction system; used car; extra tree regression; random forest regression; machine learning…”
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Ultrasonic strength evaluation of underwater heterogeneous concrete using random forest model constrained by physical laws by Yunfei Zou, Zijian Wang, Zhishen Wu

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