Utilizing Machine Learning and Deep Learning for Precise Intensity-Duration-Frequency (IDF) Curve Predictions by Sheeraz Majeed Ameen, Shuokr Qarani Aziz, Anwer Hazim Dawood, Azhin Tahir Sabir, Dara Muhammad Hawez

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Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique by Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, Dayananda Pruthviraja

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Multimodal prediction of tyrosine kinase inhibitors therapy outcomes in advanced EGFR-mutated NSCLC patients by Xiaodong Chai, Hongxia Li, Moxuan Yang, Junyang Zeng, Genxiu Chen, Yongmeng Li, Wei Wang, Zichen Liu, Kun Li, Tongmei Zhang, Shuhao Wang, Nanying Che

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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair by Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Badr Aljabri, Leen Al‐Omran, Duminda N. Wijeysundera, Ori D. Rotstein, Thomas F. Lindsay, Charles de Mestral, Muhammad Mamdani, Graham Roche‐Nagle, Mohammed Al‐Omran

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Machine Learning in Predicting Cardiac Events for ESRD Patients: A Framework for Clinical Decision Support by Chien-Wei Chuang, Chung-Kuan Wu, Chao-Hsin Wu, Ben-Chang Shia, Mingchih Chen

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A signature of 33 immune‐related gene pairs predicts clinical outcome in hepatocellular carcinoma by Xiao‐Yan Sun, Shi‐Zhe Yu, Hua‐Peng Zhang, Jie Li, Wen‐Zhi Guo, Shui‐Jun Zhang

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DGNMDA: Dual Heterogeneous Graph Neural Network Encoder for miRNA-Disease Association Prediction by Daying Lu, Qi Zhang, Chunhou Zheng, Jian Li, Zhe Yin

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MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage by Xiong You, Yiting Shu, Xingcheng Ni, Hengmin Lv, Jian Luo, Jianping Tao, Guanghui Bai, Shusu Feng

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AI-based prediction for the strength, cost, and sustainability of eggshell and date palm ash-blended concrete by Quanwei Zhao, Qi Chen, AlAteah Ali H., Alfares Abdulgafor M., Alinsaif Sadiq, Mostafa Sahar A.

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Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization by Mohamed S. Sawah, Hela Elmannai, Alaa A. El-Bary, Kh. Lotfy, Osama E. Sheta

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Flow Field Reconstruction and Prediction of Powder Fuel Transport Based on Scattering Images and Deep Learning by Hongyuan Du, Zhen Cao, Yingjie Song, Jiangbo Peng, Chaobo Yang, Xin Yu

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Comparative Analysis of Refractive Result Predictability During Iridocapsular and Iridovitreal Fixation of Biplanar Intraocular Lens by B. E. Malyugin, E. N. Panteleev, A. N. Bessarabov, D. F. Pokrovskiy, A. S. Semakina, S. A. Abdullaeva

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Machine learning prediction of coal workers’ pneumoconiosis classification based on few-shot clinical data by Jiaqi Jia, Jingying Huang, Yuming Cui, Dekun Zhang, Haiquan Li, Songquan Wang, Wenlu Hang

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DEVELOPMENT OF HEALTH INSURANCE CLAIM PREDICTION METHOD BASED ON SUPPORT VECTOR MACHINE AND BAT ALGORITHM by Syaiful Anam, Abdi Negara Guci, Fery Widhiatmoko, Mila Kurniawaty, Komang Agus Arta Wijaya

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Supporting Radiologists with Automated Image Analysis: An Evaluation of Deep Learning Tools for Augmenting Breast Cancer Screening by Imene Bouharati, Khaoula Bouharati

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Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Abdul Hafeez-Baig, Ru-San Tan, Prabal Datta Barua, Ravinesh C. Deo, Makiko Kobayashi, U. Rajendra Acharya

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Multi-scale information fusion and decoupled representation learning for robust microbe-disease interaction prediction by Wentao Wang, Qiaoying Yan, Qingquan Liao, Xinyuan Jin, Yinyin Gong, Linlin Zhuo, Xiangzheng Fu, Dongsheng Cao

“…Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models. …”
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A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

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Prevalence of psychotic-like experiences among Afghan migrant children and adolescents: examining the predictive role of childhood trauma, mindfulness, and cognitive flexibility by Abdul Reza Rezaee, Seyed Ruhollah Hosseini, Abbas Firoozabadi

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Using XFEM Techniques to Predict the Damage of aluminum 2024T3 notched under tensile load by Benzaama Abdallah, Mokhtari Mohamed, Benzaama Habib, Abdelouahed Elamine, Tamine Tawfik, Madani Kouider, Slamen Amir, Ilies Mrabet

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