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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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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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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Multimodal Data‐Driven Prognostic Model for Predicting Long‐Term Prognosis in Patients With Ischemic Cardiomyopathy and Heart Failure With Preserved Ejection Fraction After Coronar... by Jun Wang, Yijun Wang, Shoupeng Duan, Li Xu, Yanan Xu, Wenyuan Yin, Yi Yang, Bing Wu, Jinjun Liu

“…Decision curve analysis confirmed the clinical usefulness of the established prediction nomogram. Conclusions A clinically feasible prognostic model, based on preoperative multimodal data, was developed for risk stratification of patients with ischemic heart and heart failure with preserved ejection fraction who receive coronary artery bypass grafting surgery. …”
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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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A clinical predictive score of high liver iron content in metabolic hyperferritinemia: a retrospective cohort pilot study by Mohamed Lotfi Boughzala, Bruno Pereira, Marc Ruivard, Hervé Lobbes

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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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Machine-Learning Insights from the Framingham Heart Study: Enhancing Cardiovascular Risk Prediction and Monitoring by Emi Yuda, Itaru Kaneko, Daisuke Hirahara

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A Fuzzy Based Sensor Web for Adaptive Prediction Framework to Enhance the Availability of Web Service by Sundharam Ramalingam, Lakshmi Mohandas

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Indoor Air Quality Prediction in Sick Building Using Machine and Deep Learning: Comparative Analysis by Hayder Qasim Flayyih, Jumana Waleed, Amer M. Ibrahim

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A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis. by Katherine M Schafer, Grace Kennedy, Austin Gallyer, Philip Resnik

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