Predicting Trunk Muscle Activity in Chronic Low Back Pain: Development of a Supervised Machine Learning Model by Sara Salamat, Vahideh Montazeri, Saeed Talebian

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Probabilistic Prediction Model for Ultimate Conditions Under Compression of FRP-Wrapped Concrete Columns Based on Bayesian Inference by Feng Cao, Ran Zhu, Jun-Xing Zheng, Hai-Bin Huang, Dong Liang

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Prediction of the anti-carbonation performance of concrete based on random forest – least squares support vector machine model by Sivaraja M., Swaminathen A. N., Kuttimarks M. S., Rajprasad J., Sakthivel M., Rex J.

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Cost-saving prediction model of transfer to palliative care for terminal cancer patients in a Japanese general hospital by Yuki Hashimoto, Akitoshi Hayashi, Takashi Tonegawa, Lida Teng, Ataru Igarashi

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Machine learning aided optoelectric characterization modelling and prediction of the IV parameters of perovskite solar cells with > 90% accuracy by Jeykishan Kumar, Bidisha Nath, Tulika Bhattacharjee, Praveen C. Ramamurthy

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The Early Prediction of Kimchi Cabbage Heights Using Drone Imagery and the Long Short-Term Memory (LSTM) Model by Seung-hwan Go, Jong-hwa Park

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Enhancing drug-target affinity prediction through pre-trained language model and gated multi-head attention by Ghina Khoerunnisa, Isman Kurniawan

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Micromechanic models for manufacturing quality prediction of cantula fiber-reinforced nHA/magnesium/shellac as biomaterial composites by Sukanto Heru, Triyono Joko, Ariawan Dody, Alfarisi Muhammad Takbir, Raharjo Wijang Wisnu, Hikmah Latifah Nur, Tritjahjono Rachmad Imbang

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Machine learning-based drug-drug interaction prediction: a critical review of models, limitations, and data challenges by Flaviu-Ioan Gheorghita, Vlad-Ioan Bocanet, Laszlo Barna Iantovics

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Predicting temporomandibular disorders in adults using interpretable machine learning methods: a model development and validation study by Yuchen Cui, Fujia Kang, Xinpeng Li, Xinning Shi, Han Zhang, Xianchun Zhu

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Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials by Simin Nazari, Amira Abdelrasoul

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Predicting practical reduction potential of electrolyte solvents via computational hydrogen electrode and interpretable machine-learning models by Zonglin Yi, Yi Zhou, Hao Liu, Li Li, Yan Zhao, Jiayuan Li, Yixuan Mao, Fangyuan Su, Cheng-Meng Chen

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Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks by Li Ma, Yunshun Wang, Xiaoshi Lv, Lijun Guo

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A novel transformer health state direct prediction method based on knowledge and data fusion‐driven model by Peng Zhang, Guoliang Zhang, Fei Zhou, Xiaoyu Fan, Yi Zhang, Zexu Du

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Comparative Analysis of Machine Learning and Deep Learning Models for Classification and Prediction of Liver Disease in Patients with Hepatitis C by Shalem Preetham Gandu, M. Roshni Thanka, E. Bijolin Edwin, Ebenezer Veemaraj, S. Stewart Kirubakaran

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A Risk Prediction Model Based on Lymph-Node Metastasis in Poorly Differentiated-Type Intramucosal Gastric Cancer. by Jeung Hui Pyo, Hyuk Lee, Byung-Hoon Min, Jun Haeng Lee, Min Gew Choi, Jun Ho Lee, Tae Sung Sohn, Jae Moon Bae, Kyoung-Mee Kim, Hyeon Seon Ahn, Sin-Ho Jung, Sung Kim, Jae J Kim

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Risk Factors and Clinical Prediction Modeling of Preoperative Asymptomatic Lower Extremity Venous Thrombosis in Patients with Knee Osteoarthritis by Jincai Duan MM, Tianjie Xiao MM, Wei Qin MM, Tianyou Xing MM, Zhihui Wang MM, Di Wu MM, Yuanliang Du MM

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Smart grid stability prediction model using two-way attention based hybrid deep learning and MPSO by Umesh Kumar Lilhore, Surjeet Dalal, Magdalena Radulescu, Marinela Barbulescu

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A novel personalized homogenous finite element model to predict the pull-out strength of cancellous bone screws by Alireza Rouyin, Mohammadjavad (Matin) Einafshar, Navid Arjmand

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Identification of anoikis-related genes to develop a risk model and predict the prognosis and tumor microenvironment in rectal adenocarcinoma by Bing Zhao, Xuegui Tang

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