Correlation Between Depression-Associated Genes and Cancer Types: Predicting Cancer Based on Mutation Frequencies by Fernando Patricio Carranco-Avila, Clayanela Zambrano-Caicedo, Jonathan Javier Loor-Duque, Ariana Deyaneira Jimenez-Narvaez, Ivan Galo Reyes-Chacon, Paulina Vizcaino, Isidro Rafael Amaro Martin, Manuel Eugenio Morocho-Cayamcela

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Triglyceride-Glucose Index Predicts Major Adverse Cardiovascular and Cerebrovascular Events in Non-Diabetic Individuals by Cangtuo Li, Qi Qi, Wansong Li, Xuechao Zhang, Lei Li, Jie Deng, Quanle Han, Shouling Wu, Kangbo Li

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Methodology for Commercial Vehicle Mechanical Systems Maintenance: Data-Driven and Deep-Learning-Based Prediction by Romulo Goncalves Lins, Tiago Nascimento de Freitas, Ricardo Gaspar

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A Novel GRU-Augmented Time-Frequency Estimator for IGBT Remaining Useful Life Prediction by Yuankuang Li, Baohua Tan, Yingjie Zhang, Shuo Wang, Bolin Lian, Yuan Li, Zongming Tan

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Routing Protocols and Mobility Predictions for UAV Data Collection From Agricultural Sites: A Survey by Khemis Ben Samuel, Stephen D. Wolthusen, Julianne Sansa Otim, Roseline Nyongarwizi Akol, Mary Nsabagwa

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Early Prediction of Students’ Performance Through Deep Learning: A Systematic and Bibliometric Literature Review by İhsan Hakan Selvi, Tuğba Yıldız, Orhan Torkul, Ahmet Kala

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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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Stable Inverse Reinforcement Learning via Leveraged Guided Motion Planner for Driving Behavior Prediction by Minglu Zhao, Masamichi Shimosaka

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Pharmacophore-Aware Dual-View Learning With Bidirectional Cross-Attention for Drug-Drug Interaction Prediction by Wenxiao Zhang, Seong Yoon Shin, Hailiang Tang

“…Accurate drug-drug interaction (DDI) prediction is critical for ensuring patient safety and guiding clinical decision-making. …”
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Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications by Zihan Wang, Ruichen Chen, Shengyao Lu, Ian Then, Di Niu, Xihua Wang

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Predicting Financial Failure: Empirical Evidence from Publicly – Quoted Firms in Developed and Developing Countries by Serpil Altınırmak, Yavuz Gül

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The predictive function of rates of matrix metalloproteinases/inhibitors system when assessing reparative changes in the lung tissue in those with infiltrate pulmonary tuberculosis by D. S. Esmedlyaevа, N. P. Аlekseevа, P. V. Gаvrilov, M. V. Pаvlovа, M. E. Dyakovа, E. G. Sokolovich

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Decentralized Voltage Prediction in Multi-Area Distribution Systems: A Privacy-Preserving Collaborative Framework by Jianfeng Yan, Beibei Wang, Zhiqiang Wu, Zhengkai Ding

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Predicting Gen Z’s Intention to Stay: The Role of Workplace Fun, Psychological Capital, and Work Engagement by Handwita Mufidawati, Putri Mega Desiana

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Advanced Wildfire Prediction in Morocco: Developing a Deep Learning Dataset From Multisource Observations by Ayoub Jadouli, Chaker El El Amrani

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A Comparative Study of Breast Cancer Detection and Recurrence Prediction Using CatBoost Classifier by Rana Dhia’a Abdu-aljabar, Khansaa Dheya Aljafaar, Zinah Jaffar Mohammed Ameen, Hala A. Naman

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Letter to the editor: radiomics signature for dynamic monitoring of tumor-inflamed microenvironment and immunotherapy response prediction by Shuixing Zhang, Yuhao Dong

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Analysis of the Prediction when Calculating the Evaporation Rate of an Accidental Liquid Spill during Long Time by Frederic Heymes, Serge Forestier, Clement Chanut

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Evaluation of Four Methods for Predicting Carbon Stocks of Korean Pine Plantations in Heilongjiang Province, China. by Huilin Gao, Lihu Dong, Fengri Li, Lianjun Zhang

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Stratified Metamodeling to Predict Concrete Compressive Strength Using an Optimized Dual-Layered Architectural Framework by Geraldo F. Neto, Bruno da S. Macêdo, Tales H. A. Boratto, Tiago Silveira Gontijo, Matteo Bodini, Camila Saporetti, Leonardo Goliatt

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