Prediction of Traction Requirements and Slippage Percentage for Three Plow Types under Various Operational Conditions by Mustafa F. Almoosa, Salim A. Almaliki, Salah M. S. Al-Atab

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Prediction of Traction Requirements and Slippage Percentage for Three Plow Types under Various Operational Conditions by Mustafa F. Almoosa, Salim A. Almaliki, Salah M. S. Al-Atab

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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

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Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data by Robert Gutierrez, Tianshi Fang, Robert Mainwaring, Tom Reddyhoff

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IMPLEMENTATION OF BACKPROPAGATION AND HYBRID ARIMA-NN METHODS IN PREDICTING ACCURACY LEVELS OF RAINFALL IN MAKASSAR CITY by Hisyam Ihsan, Irwan Irwan, Andi Illa Erviani Nensi

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Innovative Tailored Semantic Embedding and Machine Learning for Precise Prediction of Drug-Drug Interaction Seriousness by Ayman Mohamed Mostafa, Alaa S. Alaerjan, Hisham Allahem, Bader Aldughayfiq, Meshrif Alruily, Alshaimaa A. Tantawy, Mohamed Ezz

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Predicting the efficacy of chemoradiotherapy in advanced nasopharyngeal carcinoma patients: an MRI radiomics and machine learning approach by Liucheng Chen, Zhiyuan Wang, Ji Zhang, Ying Meng, Xuelian Wang, Cancan Zhao, Longshan Shen

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Machine learning-based prediction of antimicrobial resistance and identification of AMR-related SNPs in Mycobacterium tuberculosis by Yi Xu, Ying Mao, Xiaoting Hua, Yan Jiang, Yi Zou, Zhichao Wang, Zubi Liu, Hongrui Zhang, Lingling Lu, Yunsong Yu

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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review by Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

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Lipid-Metabolism-Related Gene Signature Predicts Prognosis and Immune Microenvironment Alterations in Endometrial Cancer by Zhangxin Wu, Yufei Nie, Deshui Kong, Lixiang Xue, Tianhui He, Kuaile Zhang, Jie Zhang, Chunliang Shang, Hongyan Guo

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Analysis and prediction of land use/land cover change in the Llanganates-Sangay Connectivity Corridor by 2030 by Luis Jonathan Jaramillo Coronel, Andrea Cecilia Mancheno Herrera, Adriana Catalina Guzmán Guaraca, Juan Gabriel Mollocana Lara

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Utilizing Machine Learning and Deep Learning for Precise Intensity-Duration-Frequency (IDF) Curve Predictions by Sheeraz Majeed Ameen, Shuokr Qarani Aziz, Anwer Hazim Dawood, Azhin Tahir Sabir, Dara Muhammad Hawez

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Multimodal prediction of tyrosine kinase inhibitors therapy outcomes in advanced EGFR-mutated NSCLC patients by Xiaodong Chai, Hongxia Li, Moxuan Yang, Junyang Zeng, Genxiu Chen, Yongmeng Li, Wei Wang, Zichen Liu, Kun Li, Tongmei Zhang, Shuhao Wang, Nanying Che

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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair by Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Badr Aljabri, Leen Al‐Omran, Duminda N. Wijeysundera, Ori D. Rotstein, Thomas F. Lindsay, Charles de Mestral, Muhammad Mamdani, Graham Roche‐Nagle, Mohammed Al‐Omran

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A MACHINE LEARNING FRAMEWORK FOR SUICIDAL THOUGHTS PREDICTION USING LOGISTIC REGRESSION AND SMOTE ALGORITHM by Sarni Maniar Berliana, Omas Bulan Samosir, Rafidah Abd Karim, Victoria Pena Valenzuela, Krismanti Tri Wahyuni, Andi Alfian

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Machine Learning in Predicting Cardiac Events for ESRD Patients: A Framework for Clinical Decision Support by Chien-Wei Chuang, Chung-Kuan Wu, Chao-Hsin Wu, Ben-Chang Shia, Mingchih Chen

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A signature of 33 immune‐related gene pairs predicts clinical outcome in hepatocellular carcinoma by Xiao‐Yan Sun, Shi‐Zhe Yu, Hua‐Peng Zhang, Jie Li, Wen‐Zhi Guo, Shui‐Jun Zhang

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DGNMDA: Dual Heterogeneous Graph Neural Network Encoder for miRNA-Disease Association Prediction by Daying Lu, Qi Zhang, Chunhou Zheng, Jian Li, Zhe Yin

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Prediction of Fractal Dimension in Shale CT and its Robustness to Interference Based on Convolutional Neural Networks by SUN Dingwei, WANG Lei, YANG Dong, HUANG Xudong, JIA Yichao

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MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage by Xiong You, Yiting Shu, Xingcheng Ni, Hengmin Lv, Jian Luo, Jianping Tao, Guanghui Bai, Shusu Feng

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