IMPROVING PREDICTION OF DEPRESSION AN ANALYTICAL COMPARISON BETWEEN HYBRID AI, MACHINE LEARNING AND DEEP LEARNING APPROACHES by Kanchapogu Naga Raju, Sachi Nandan Mohanty

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A Few-Shot Learning for Predicting Radar Receiver Interference Response Based on Distillation Meta-Learning by Lingyun Zhang, Hui Tan, Mingliang Huang

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Comparison and Evaluation of the Effectiveness of Traditional Neuroanatomy Teaching in Medical Education with Virtual-Reality Application Based On 3D Virtual by Ece Alim, Özlem Coşkun, Tuncay Veysel Peker

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A Review of Predictive Software for the Design of Community Microgrids by Mina Rahimian, Lisa D. Iulo, Jose M. Pinto Duarte

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Data-Driven Loan Default Prediction: A Machine Learning Approach for Enhancing Business Process Management by Xinyu Zhang, Tianhui Zhang, Lingmin Hou, Xianchen Liu, Zhen Guo, Yuanhao Tian, Yang Liu

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Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework by Yusong Ke, Hongru Lin, Yuting Ruan, Junya Tang, Li Li

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Predictive analytics in customer behavior: Anticipating trends and preferences by Hamed GhorbanTanhaei, Payam Boozary, Sogand Sheykhan, Maryam Rabiee, Farzam Rahmani, Iman Hosseini

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MODELING EXCHANGE RATE CHANGE BASED ON THE ANALYSIS OF FUNDAMENTAL INDICATORS by Sergey A. Timofeev, Vladimir N. Yuryev

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Prediction of some soil properties in volcanic soils using random forest modeling: A case study at chinyero special nature reserve (Tenerife, canary islands) by Víctor Manuel Romeo Jiménez, Jesús Santiago Notario del Pino, José Manuel Fernández-Guisuraga, Miguel Ángel Mejías Vera

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A data-driven prediction method for shear bearing capacity of flexural-shear type RC column based on PCC-XGB-SHAP by Tao Huang, Chunfeng Wan, Tingbin Liu, Changqing Miao

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A novel multi-task learning model based on Transformer-LSTM for wind power forecasting by Rongquan Zhang, Siqi Bu, Yuxia Zheng, Gangqiang Li, Xiupeng Wan, Qiangqiang Zeng, Min Zhou

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Learning the language of plant immunity: opportunities and challenges for AI-assisted modelling of fungal effector x host protein complexes by C. Verdonk, KK Gagalova, S. Raffaele, MC Derbyshire

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Construction and verification of risk prediction model of pulmonary embolism in ICU patients with COPD in acute exacerbation based on age, SAPSII score, braking state, and mechanic... by Hong Li, Qian Ning, Ya Liu, Yamei Pang, Sifang Feng

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Developing risk models for predicting incidence of diabetes and prediabetes in the first-degree relatives of Iranian patients with type 2 diabetes and comparison with the finnish d... by Parisa Khodabandeh Shahraki, Awat Feizi, Sima Aminorroaya, Heshmatollah Ghanbari, Majid Abyar, Massoud Amini, Ashraf Aminorroaya

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A statistically predictive heat transfer rate model in a radiative magnetized hybrid nanofluid flow with dissipation over a sheet elongating exponentially: Combined RSM & ANOVA by Rupa Baithalu, S.R. Mishra, Subhajit Panda

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Integrated single-cell analysis reveals the regulatory network of disulfidptosis-related lncRNAs in bladder cancer: constructing a prognostic model and predicting treatment respons... by Jiafu Xiao, Jiafu Xiao, Jiafu Xiao, Wuhao Liu, Wuhao Liu, Wuhao Liu, Jianxin Gong, Jianxin Gong, Jianxin Gong, Weifeng Lai, Weifeng Lai, Weifeng Lai, Neng Luo, Neng Luo, Neng Luo, Yingfan He, Junrong Zou, Junrong Zou, Zhihua He, Zhihua He, Zhihua He

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Comparative evaluation of machine learning models for extreme river water level forecasting in Bangladesh: Implications for flood and drought resilience by Md Touhidul Islam, Sujan Chandra Roy, Nusrat Jahan, Al-Mahmud, Md Mazharul Islam, Abdullah Al Ferdaus, Kazunori Fujisawa, A.K.M. Adham

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Drivers and Moderators of Social Media-Enabled Cooperative Learning in Design Education: An Extended TAM Perspective from Chinese Students by Tiansheng Xia, Yujiao Wu, Yibing Chen

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Presenting a Model for Developing Organizational Citizenship Behavior in Iraqi Secondary School Teachers by Maha Mohammed Abbas AL-KHATEEB, Kobra Emami Rizi, MUNA MOHAMMED ABBAS AL-KHATEEB, Narges Saeidian Khorasgani

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A machine learning-based nomogram for predicting graft survival in allograft kidney transplant recipients: a 20-year follow-up study by Jiamin He, Pinlin Liu, Lingyan Cao, Feng Su, Yifei Li, Tao Liu, Wenxing Fan

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