Using Deep Learning (CNN, RNN, LSTM, GRU) methods for the prediction of Protein Secondary Structure by Ezgi Çakmak, İhsan Hakan Selvi

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A survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement by Chaofeng Yang, Yongjie Liang, Fan Qin, Yulong Cao, Peiyuan Wang, Jiaying Fan, Bizhong Wei

“…This paper proposes a survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement (MSHG-CMR), which achieves deep joint modeling and efficient information fusion of pathological images and multi-omics data by integrating multi-scale hypergraph enhancement and cross-modal refinement Transformer technology. …”
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A comparative analysis between Model for End-stage Liver Disease score (MELD), Modified Model for End-stage Liver Disease score (MELD-Na), and Child–Pugh score (CPS) in predicting... by Anagha Ravinath Naik, Swathy Moorthy

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Enhanced Fault Diagnosis in Rotating Machinery Using a Hybrid CWT-LeNet-5-LSTM Model: Performance Across Various Load Conditions by Muhammad Ahsan, Muhammad Waqar Hassan, Jose Rodriguez, Mohamed Abdelrahem

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Accuracy of genome-enabled polygenic risk score prediction of cruciate ligament rupture risk in the Labrador Retriever by Benjamin Miranda, Mehdi Momen, Susannah J. Sample, Peter Muir

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A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships by Shaopeng Liu, Wanlu Hu, Chun-Chun Wang, Linlin Zhuo, Xu Lu

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Aging Assessment of Power Transformers with Data Science by Samuel Lessinger, Alzenira da Rosa Abaide, Rodrigo Marques de Figueiredo, Lúcio Renê Prade, Paulo Ricardo da Silva Pereira

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Predicting incident type 2 diabetes in a Japanese cohort: an 8-year analysis of the NAGALA database by Yangchun Wang, Fei Liu, Ruixiang Tong, Zhonghua He, Qin Fang, Jie Feng, Hongliang An, Junjun Liu

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The nomograph predicting the recurrence of Solid Pseudopapillary Neoplasm of the Pancreas: a study of the SEER database and a Chinese cohort by Qidong Pei, Junzong Chen, Gang Deng, Dong Li, Yajun Tang, Jiaming Lai, Di Tang

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Estimating the plausible projections of land use/land cover dynamics in Jhelum and Chenab River basins using satellite imageries and machine learning models in Google Earth Engine by Syeda Maria Zafar, Junaid Aziz Khan, Ammara Mobeen, Wan Shafrina Wan Mohd Jaafar, Ricky Anak Kemarau

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Investigation and Trend Prediction of Disease Burden of Hypertensionin the Elderly Population Globally and in China from 1990 to 2021 by ZHAO Xiaoxiao, LU Xiaohui, KE Lixin, GAO Wulin, MENG Xiangran, REN Lili, DING Yunhan, ZHANG Qiang, XUN Yangqin, WU Jibiao, LU Cuncun

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Pre-procedural abnormal von Willebrand factor function predicts clinical outcomes after Transcatheter Aortic Valve Implantation: a prospective cohort study by Haitham Abu Khadija, Mohammad Alnees, Mohammad Alnees, Omar Ayyad, Gera Gandelman, Nizar Abu Hamdeh, Amir Haim, Yazan Hamdan, Ramon Cohen, Duha Najajra, Alena Kirzhner, Tal Schiller, Jacob George, Alex Blatt

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An EWS-LSTM-Based Deep Learning Early Warning System for Industrial Machine Fault Prediction by Fabio Cassano, Anna Maria Crespino, Mariangela Lazoi, Giorgia Specchia, Alessandra Spennato

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Predicting the Evolution of Capacity Degradation Histograms of Rechargeable Batteries Under Dynamic Loads via Latent Gaussian Processes by Daocan Wang, Xinggang Li, Jiahuan Lu

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Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique by Giulia Anichini, Léo Mignot

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THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS by Andrii Ivashchenk, Tetiana Ivashchenko

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Analysis of the Wangping Brownfield Using a Two-Step Urban Brownfield Redevelopment Model by Zhiping Liu, Yingxue Feng, Jing Li, Haoyu Tao, Zhen Liu, Xiaodan Li, Yue Hu

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Wind Turbine Fault Detection Through Autoencoder-Based Neural Network and FMSA by Welker Facchini Nogueira, Arthur Henrique de Andrade Melani, Gilberto Francisco Martha de Souza

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“Data-based management”: prospects for implementation into the system of vocational education by V. I. Blinov, I. S. Sergeev, E. Yu. Esenina, N. S. Garkusha, N. F. Rodichev

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Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associated fatty liver disease using vibration-controlled transient elastography: Result... by Liqiong Huang, Yu Luo, Li Zhang, Mengqi Wu, Lirong Hu

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