Prediction of COVID-19 Effect on Patients during Six Month After Recovery, by Using AI Algorithm by hanan aldabagh, Ghaydaa Al-Talib

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Predicting psychotic-like experiences among adolescents: the interplay of childhood trauma, cognitive biases, neuroticism, and depression by Chang Xi, Xin Xu, Song Wang

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Machine learning approach for predicting the compressive strength of biomedical waste ash in concrete: a sustainability approach by Rakesh Kumar, S. Karthik, Abhishek Kumar, Adithya Tantri, Shahaji, S. Sathvik

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AI driven prediction of early age compressive strength in ultra high performance fiber reinforced concrete by Mohamed Abdellatief, Wafa Hamla, Hassan Hamouda

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Predicting the development of diabetes using the product of triglycerides and glucose: the Chungju Metabolic Disease Cohort (CMC) study. by Seung-Hwan Lee, Hyuk-Sang Kwon, Yong-Moon Park, Hee-Sung Ha, Seung Hee Jeong, Hae Kyung Yang, Jin-Hee Lee, Hyeon-Woo Yim, Moo-Il Kang, Won-Chul Lee, Ho-Young Son, Kun-Ho Yoon

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Predicting treatment response in individuals with major depressive disorder using structural MRI-based similarity features by Sutao Song, Songling Wang, Jingjing Gao, Lingkai Zhu, Wenxin Zhang, Yan Wang, Donglin Wang, Danning Zhang, Kangcheng Wang

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Predicting Predisposition to Tropical Diseases in Female Adults Using Risk Factors: An Explainable-Machine Learning Approach by Kingsley Friday Attai, Constance Amannah, Moses Ekpenyong, Said Baadel, Okure Obot, Daniel Asuquo, Ekerette Attai, Faith-Valentine Uzoka, Emem Dan, Christie Akwaowo, Faith-Michael Uzoka

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A nomogram to predict the risk of relapse in patients with minimal change disease: a retrospective cohort study by Lefeng Wang, Qinfan Yao, Ying Zhang, Xuan Zhang, Mengjie Hu, Jianpeng Chen, Xiayu Li, Jianghua Chen, Heng Li

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An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers by Dhruva Darshan B S, Punit Sharma, Krishnaraj Chadaga, Niranjana Sampathila, G. Muralidhar Bairy, Sushma Belurkar, Srikanth Prabhu, Swathi K S

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A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains by Xinlong Xu, Yue Qiang, Li Li, Siyu Liang, Tao Chen, Wenjun Yang, Xinyi Tan, Xi Wang, He Yang

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Genome-Wide Association Study and Genomic Prediction of Essential Agronomic Traits in Diversity Panel of Soybean Varieties by Qianli Dong, Yuting Cheng, Yiyang Li, Yan Tong, Dazhuang Liu, Jiaxin Yu, Na Zhao, Bao Liu, Xiaoyang Ding, Chunming Xu

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The association of Whole and Segmental Body Composition and Anaerobic Performance in Crossfit® athletes: sex differences and performance prediction by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Dominguez, Javier Benítez-Porres

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Predicting graduation grades using Machine Learning: A case study of Can Tho University students by Minh Khiem Nguyen, Van Tu Huynh, Hung Dung Nguyen

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Efficient Hyperparameter Optimization Using Metaheuristics for Machine Learning in Truss Steel Structure Cross-Section Prediction by Donwoo Lee, Seunghyeon Noh, Jeonghyun Kim, Seungjae Lee

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Comparative Deep Learning–Based Facial Image Analysis for Early Autism Prediction in School-Aged Children by Sarah Sabeeh

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“Goldilocks day”: identifying the optimal awake movement behaviour composition for predicted cardiometabolic health outcomes in youth by Joey Murphy, Charlotte Lund Rasmussen, Javier Brazo-Sayavera, Ademola Victor Damilola, Nastja Podrekar Loredan, Aoko Oluwayomi, Luís Bettencourt Sardinha, Niels Wedderkopp, Elaine Murtagh

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SWAT‐Based Hydrological Data Assimilation System (SWAT‐HDAS): Description and Case Application to River Basin‐Scale Hydrological Predictions by Ying Zhang, Jinliang Hou, Juan Gu, Chunlin Huang, Xin Li

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Genome-wide association analysis study and genomic prediction for resistance to soybean mosaic virus in soybean population by Tiantian Zhao, Fengmin Wang, Jin Qi, Qiang Chen, Lijuan Zhu, Luping Liu, Long Yan, Yuling Chen, Chunyan Yang, Jun Qin

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Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN by Alvin Muhammad ‘Ainul Yaqin, Ahmad Kamil Muqoffi, Sigit Rahmat Rizalmi, Faishal Arham Pratikno, Remba Yanuar Efranto

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High expression of LIMD2 predicts a poor prognosis and promotes migration of colon cancer cells by Jianjun Wang, Fengjuan Cai, Guodong Liu, Jingtao Zhang, Dongdong Li, Yujie Cai, Yu Wang, Wanjun Xu, Xiaoyan Wang, Xiaomin Li

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