Machine learning-based prediction of scale formation in produced water as a tool for environmental monitoring by Arash Tayyebi, Ali Alshami, Erfan Tayyebi, Ademola Owoade, MusabbirJahan Talukder, Nadhem Ismail, Zeinab Rabiei, Xue Yu, Glavic Tikeri

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Variation Tendency and Prediction of Colorectal Cancer Burden Among Chinese Population from 1990 to 2021 by Tongzhou WANG, Juanfang ZHU, Jin ZHOU, Pan ZHANG, Qin TANG

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Training size predictably improves machine learning-based epileptic seizure forecasting from wearables by Mustafa Halimeh, Michele Jackson, Tobias Loddenkemper, Christian Meisel

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Machine learning techniques for predicting the peak response of reinforced concrete beam subjected to impact loading by Ali Husnain, Munir Iqbal, Hafiz Ahmed Waqas, Mohammed El-Meligy, Muhammad Faisal Javed, Rizwan Ullah

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Creatine kinase-MB elevation in patients with acute aortic dissection predict worse in-hospital outcomes by Yijing Xin, Siqi Lyu, Yanmin Yang

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Role of pre-procedure CCTA in predicting failed percutaneous coronary intervention for chronic total occlusions by Hua Zhou, Xiaojun Fan, Mingyuan Yuan, Wei Wang, Qiyuan Wu

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Neural Network-Based Prediction of Amplification Factors for Nonlinear Soil Behaviour: Insights into Site Proxies by Ahmed Boudghene Stambouli, Lotfi Guizani

“…Finally, it is recommended to further refine this study by including additional soil parameters such as spatial configuration and by adopting more refined soil models.…”
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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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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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Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis by Min Bao, Jianqian Chao, Na Zhang, Yanqian Wu

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