Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Abdul Hafeez-Baig, Ru-San Tan, Prabal Datta Barua, Ravinesh C. Deo, Makiko Kobayashi, U. Rajendra Acharya

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Multi-scale information fusion and decoupled representation learning for robust microbe-disease interaction prediction by Wentao Wang, Qiaoying Yan, Qingquan Liao, Xinyuan Jin, Yinyin Gong, Linlin Zhuo, Xiangzheng Fu, Dongsheng Cao

“…Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models. …”
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A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

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Using XFEM Techniques to Predict the Damage of aluminum 2024T3 notched under tensile load by Benzaama Abdallah, Mokhtari Mohamed, Benzaama Habib, Abdelouahed Elamine, Tamine Tawfik, Madani Kouider, Slamen Amir, Ilies Mrabet

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Prediction of Body Mass of Dairy Cattle Using Machine Learning Algorithms Applied to Morphological Characteristics by Franck Morais de Oliveira, Patrícia Ferreira Ponciano Ferraz, Gabriel Araújo e Silva Ferraz, Marcos Neves Pereira, Matteo Barbari, Giuseppe Rossi

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Backpropagation Neural Network Implementation in Volumetric Modulated Arch Therapy of Brain Cancer Dose Prediction by Nafisa Imtiyaziffati Rasoma Muliarso, Prawito Prajitno, Dewa Ngurah Yudhi Prasada, Aloysius Putranto, Muhammad Fadli, Dwi Seno Kuncoro Sihono

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A Weighted Bayesian Kernel Machine Regression Approach for Predicting the Growth of Indoor-Cultured Abalone by Seung-Won Seo, Gyumin Choi, Ho-Jin Jung, Mi-Jin Choi, Young-Dae Oh, Hyun-Seok Jang, Han-Kyu Lim, Seongil Jo

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Spatial prediction of landslide susceptibility using the data-mining algorithm (case study: Kamyaran county) by Osama Ashraf Mohammed, Hemn Kamal Hamaamin, Jwanro Azad, Sabri Rasooli, Houzhi Li

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Prediction of the Possibility of Hemorrhagic Syndrome during Combined Antiplatelet Therapy According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

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Machine Learning-Based Prediction of Postoperative Deep Vein Thrombosis Following Tibial Fracture Surgery by Humam Baki, İsmail Bülent Özçelik

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CT-based habitat radiomics for predicting treatment response to neoadjuvant chemoimmunotherapy in esophageal cancer patients by Weibo Kong, Junrui Xu, Yunlong Huang, Kun Zhu, Long Yao, Kaiming Wu, Hanlin Wang, Yuhang Ma, Qi Zhang, Renquan Zhang

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ANN and RF Optimized by Hunter–Prey Algorithm for Predicting Post-Blast RC Column Morphology by Kai Rong, Yongsheng Jia, Yingkang Yao, Jinshan Sun, Qi Yu, Hongliang Tang, Jun Yang, Xianqi Xie

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Prediction of the SYM‐H Index Using a Bayesian Deep Learning Method With Uncertainty Quantification by Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing

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Predicting depressive symptoms through social support: a machine learning approach in military populations by Kun-Huang Chen, Pao-Lung Chiu, Ming-Hsuan Chen

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Temporal Graph Attention Network for Spatio-Temporal Feature Extraction in Research Topic Trend Prediction by Zhan Guo, Mingxin Lu, Jin Han

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Prestack seismic prediction of sandstone reservoirs in the fifth member of Xujiahe Formation in Dongfengchang area of Ziyang by ZHENG Gongying, LYU Qibiao, YANG Yongjian, XU Shoucheng

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ISUP grade upgrade prediction after radical prostatectomy: Role of Luteinizing Hormone to Testosterone ratio by Zhihua Pan, Ruizhe Zhao, Jinjiang Fan, Shaobo Zhang, Jie Li, Bianjiang Liu

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Time-Dependent ECG-AI Prediction of Fatal Coronary Heart Disease: A Retrospective Study by Liam Butler, Alexander Ivanov, Turgay Celik, Ibrahim Karabayir, Lokesh Chinthala, Mohammad S. Tootooni, Byron C. Jaeger, Luke T. Patterson, Adam J. Doerr, David D. McManus, Robert L. Davis, David Herrington, Oguz Akbilgic

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A Study on Tool Breakage Detection Technology Based on Current Sensing and Non-Contact Signal Analysis by Chia-Hung Lai, Sih-Hao Huang, Ting-En Wu, Chia-Chun Lai

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Q4MRATools: Quantitative tools to microbial risk assessment by Olga María Bonilla Luque, Antonio Valero, Arícia Possas, Styliani Roufou, Jefferson deOliveira Mallia, Vasilis Valdramidis

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