How accurately can supervised machine learning model predict a targeted psychiatric disorder? by Haitham Jahrami, Amir H. Pakpour, Waqar Husain, Achraf Ammar, Zahra Saif, Ali Husain Alsalman, Adel Aloffi, Khaled Trabelsi, Seithikurippu R. Pandi-Perumal, Michael V. Vitiello

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A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models by Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González

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Modeling the physiological response of flow in groups: a mathematical approach by David Antonio Rosas, Natalia Padilla-Zea, Daniel Burgos

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Frailty prediction in patients with chronic digestive system diseases: based on multi-task learning model by Sihan Hu, Xiaochuan Guo, Xiaobao Wang, Zixiang Jin, Chenyang Zhou, Lang Tu, Zhoulong Shi, Weiyi Ao, Xin Zhang, Jay Zheng, Xuezhi Zhang, Hui Ye

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Development and validation of a physical activity-sleep-academic performance model for students by Zhanguo Su, Yiping Su, Junyan Meng

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Predicting Olympic Medal Performance for 2028: Machine Learning Models and the Impact of Host and Coaching Effects by Zhenkai Zhang, Tengfei Ma, Yunpeng Yao, Ningjia Xu, Yujie Gao, Wanwan Xia

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Constructing a predictive model of negative academic emotions in high school students based on machine learning methods by Shumeng Ma, Ning Jia, Xiuchao Wei, Wanyi Zhang

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Time-Optimal Model Predictive Control for Linear Time-Variant Systems Based on Configuration-Constrained Backward Reachability by Michael Fink, Annalena Daniels, Dirk Wollherr, Marion Leibold

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NSGT: A Plasma Position Prediction Method for the HL-2A Tokamak Device Based on Transformer by Ling Zhou, Bin Yang, Xiangcheng Lin, Kaihao Zhu, Ziran Lan, Xiangwen Li

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A neural network regression model for predicting student learning success based on prior achievements by Dorrer Mikhail

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Evaluation of net-zero materials in mortar bricks with predictive modelling using random forest and gradient boosting techniques by Golla Uday kiran, Nakkeeran Ganesan, Dipankar Roy, Sumant Nivarutti Shinde, Mamillapalli Indumathi, George Uwadiegwu Alaneme, Val Hyginus Udoka Eze, Kuzmin Anton

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Predicting Wind Turbine Blade Tip Deformation With Long Short‐Term Memory (LSTM) Models by Shubham Baisthakur, Breiffni Fitzgerald

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A Life-Cycle Carbon Reduction Optimization Framework for Production Activity Systems: A Case Study on a University Campus by Xiangze Wang, Jingqi Deng, Tingting Hu, Dungang Gu, Rui Liu, Guanghui Li, Nan Zhang, Jiaqi Lu

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Model for Prediction of Testing Time of a Computer Program for Automated Reliability Evaluation of Semiconductor Devices by V. O. Kaziuchyts, S. M. Borovikov, E. N. Shneiderov

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Machine learning-based predictive model for enteral nutrition-associated diarrhea in ICU patients and its nursing applications by Xiaoying Liao, Chunhua Li, Qunyan Liu, Wang Xia, Zhenglin Liu, Jiamao Zhu, Wei Hu, Qionghua Hong

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Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms by Liu　Yuxiao, Dong　Yanwu, Jiang　Zhouhua, Chen　Xi

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A comparative approach of machine learning models to predict attrition in a diabetes management program. by Samantha Kanny, Grisha Post, Patricia Carbajales-Dale, William Cummings, Janet Evatt, Windsor Westbrook Sherrill

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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

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Artificial intelligence model in the cognitive and learning activities of university subjects by N. Abishev, R. Ramazanov, M. Abaideldanova, K. Chesnokova, A. Baizhumayeva

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From Social to Academic: Associations and Predictions Between Different Types of Peer Relationships and Academic Performance Among College Students by Jiadong Tian, Jiali Lin, Dagang Li

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