Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches by Farveh Vahidpour, Hossein Sabouri, Fakhtak Taliei, Sayed Javad Sajadi, Saeed Yarahmadi, Hossein Hosseini Moghaddam

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The Cognitive Correlates of Obsessive-Compulsive Disorder: The Predictive Role of Looming Maladaptive Style, Executive Function, Thought-Action Fusion and Metacognition by Maryam Koosheshi, Rahim Yousefi, Ladan Vaghef

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A Multi-Scale Fusion Convolutional Network for Time-Series Silicon Prediction in Blast Furnaces by Qiancheng Hao, Wenjing Liu, Wenze Gao, Xianpeng Wang

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Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting by Vijayalakshmi S, John A, Sunder R, Senthilkumar Mohan, Sweta Bhattacharya, Rajesh Kaluri, Guang Feng, Usman Tariq

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Pulmonary hypertension as a risk assessment factor for unfavorable outcome in patients with COVID-19 by E. Z. Golukhova, Inessa Viktorovna Slivneva, M. M. Rybka, M. L. Mamalyga, M. N. Alekhin, I. V. Klyuchnikov, D. E. Antonova, D. I. Marapov

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Integrating Machine Learning and Multi-Objective Optimization in Biofuel Systems: A Review by Ivan P. Malashin, Dmitry A. Martysyuk, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

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Spatial prediction of landslide susceptibility using the data-mining algorithm (case study: Kamyaran county) by Osama Ashraf Mohammed, Hemn Kamal Hamaamin, Jwanro Azad, Sabri Rasooli, Houzhi Li

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Development and validation of an artificial intelligence-based pipeline for predicting oral epithelial dysplasia malignant transformation by Adam J. Shephard, Hanya Mahmood, Shan E. Ahmed Raza, Anna Luíza Damaceno Araújo, Alan Roger Santos-Silva, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Kris D. McCombe, Stephanie G. Craig, Jacqueline James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot

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Predicting Teachers’ Continuance Intention to Teach Online: The Role of Technostress, Intrapersonal and School Environmental Factors by Kai Wang, Zhenying Ye, Zhenyu Li, Shihua Li, Xue Yuan

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Prediction of Graduate Career Relevance Based on Academic and Non-Academic Aspects using Machine Learning by Muhammad Yusuf Luthfi Ijlal, Arif Setiawan, Diana Laily Fithri

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Applying Machine Learning Techniques to Predict Drug-Related Side Effect: A Policy Brief by Esmaeel Toni MSc, Haleh Ayatollahi PhD

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Improving Boreal Summer Precipitation Predictions From the Global NMME Through Res34‐Unet by Xuan Tong, Wen Zhou, Jiangjiang Xia

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Investigation into the Prediction of Ship Heave Motion in Complex Sea Conditions Utilizing Hybrid Neural Networks by Yuchen Liu, Xide Cheng, Kunyu Han, Zhechun Liu, Baiwei Feng

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Genetic analysis of predicted vegetative biomass and biomass‐related traits from digital phenotyping of strawberry by Cheryl Dalid, Caiwang Zheng, Luis Osorio, Sujeet Verma, Amr Abd‐Elrahman, Xu Wang, Vance M. Whitaker

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Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma by Xiwen Chen, Jikui Miao, Xingxin Huang, Xiahui Han, Liqin Zheng, Jianxin Chen, Linying Chen, Lianhuang Li

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The immunological age prediction of monocytes indicates that gestational diabetes mellitus accelerates the aging of monocytes in offspring by Yan Zhang, Rui Guo, Min Yin, Mei Shi, Ting Zhong, Shanshan Liu, Xia Li

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A MACHINE LEARNING FRAMEWORK FOR SUICIDAL THOUGHTS PREDICTION USING LOGISTIC REGRESSION AND SMOTE ALGORITHM by Sarni Maniar Berliana, Omas Bulan Samosir, Rafidah Abd Karim, Victoria Pena Valenzuela, Krismanti Tri Wahyuni, Andi Alfian

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Predicting socio-cultural and individual constraints to regular physical activity during the outbreak of covid-19 by Leily Pashapoor, Rosa Rahavi Ezabadi, Pari Khalil Marandi

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Machine learning predicting acute pain and opioid dose in radiation treated oropharyngeal cancer patients by Vivian Salama, Vivian Salama, Laia Humbert-Vidan, Brandon Godinich, Brandon Godinich, Kareem A. Wahid, Kareem A. Wahid, Dina M. ElHabashy, Mohamed A. Naser, Renjie He, Abdallah S. R. Mohamed, Ariana J. Sahli, Katherine A. Hutcheson, Gary Brandon Gunn, David I. Rosenthal, Clifton D. Fuller, Amy C. Moreno

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Predicting TF–Target Gene Association Using a Heterogeneous Network and Enhanced Negative Sampling by Thanh Tuoi Le, Xuan Tho Dang

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