Predicting Student Performance through Machine Learning Methods: Naive Bayesian Classifier by Chenyang Li, Qianzhi Zhou, Luming Du, Sihan Zhang

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Dynamic load balancing in cloud computing using predictive graph networks and adaptive neural scheduling by K. Rajammal, M. Chinnadurai

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Predictive Probability Density Mapping for Search and Rescue Using an Agent-Based Approach With Sparse Data by Jan-Hendrik Ewers, David Anderson, Douglas Thomson

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Gradual Variation-Based Dual-Stream Deep Learning for Spatial Feature Enhancement With Dimensionality Reduction in Early Alzheimer’s Disease Detection by Najmul Hassan, Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

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Predicting cardiovascular risk with hybrid ensemble learning and explainable AI by Pooja Shah, Madhu Shukla, Neel H. Dholakia, Himanshu Gupta

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Machine learning-based predictive analysis of energy efficiency factors necessary for the HIFU treatment of adenomyosis by Ziyan Liu, Ziyi Liu, Yuan Wang, Xiyao Wan, Xiaohua Huang

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Estimating Soybean Yields Using Causal Inference and Deep Learning Approaches With Satellite Remote Sensing Data by Fumin Wang, Jiale Li, Dailiang Peng, Qiuxiang Yi, Xiaoyang Zhang, Jueyi Zheng, Siting Chen

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Enhancing Cloud Security: A Multi-Factor Authentication and Adaptive Cryptography Approach Using Machine Learning Techniques by K. Sasikumar, Sivakumar Nagarajan

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Disruption of the caspase-1/IL-1β axis alleviates myocardial Ischemia/Reperfusion injury via improvement of mitochondrial homeostasis and reduction of Pyroptosis by ChenKai Hu, FengXia Yuan, YingXing Wu, Shan Xiao, Yuan Xu, Xiang Peng, Lei He

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A Functional Cognitive Stylistic Study of Online Horoscopes Predictions by Rahma Amer Efleih, Eman Adil Jaafar

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Addressing Out‐of‐Sample Issues in Multi‐Layer Convolutional Neural‐Network Parameterization of Mesoscale Eddies Applied Near Coastlines by Cheng Zhang, Pavel Perezhogin, Alistair Adcroft, Laure Zanna

“…This study underscores the need for BC treatments in CNN models trained on open water data when predicting near‐coastal subgrid forces in ML parameterizations. …”
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Predictive value of triglyceride glucose index in non-obese non-alcoholic fatty liver disease by He Liu, Fang Sun, Xiaopeng Zhu, Xia Gao, Juan Deng, ZhongYan Luo, Yijian Sun, Liqi Fan

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Assessment of expected reliability of applied software for computer-based information systems by S. M. Borovikov, V. O. Kaziuchyts, V. V. Khoroshko, S. S. Dick, K. I. Klinov

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Change in elevation predicts 100 km ultra marathon performance by Beat Knechtle, Katja Weiss, David Valero, Volker Scheer, Elias Villiger, Pantelis T. Nikolaidis, Marilia Andrade, Ivan Cuk, Robert Gajda, Thomas Rosemann, Mabliny Thuany

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Multi-Objective Parameter Optimization of Rotary Screen Coating Process for Structural Plates in Spacecraft by Yanhui Guo, Yanpeng Chen, Peibo Li, Xinfu Chi, Yize Sun

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Early Detection of Congenital Heart Diseases among Infants Using Artificial Neural Network Algorithm by Lucy Ifeyinwa Ezigbo, Anthony Kwubeghari, Francis Okoye

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Deep neural network approach integrated with reinforcement learning for forecasting exchange rates using time series data and influential factors by T. Soni Madhulatha, Dr. Md. Atheeq Sultan Ghori

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Predictive Emojis for User Cognitive Response to Dynamic Behaviour of Webpages Using Pupil and Click Reinforcement by Fatima Isiaka

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Age-period-cohort analysis of gallbladder and biliary diseases epidemiological trends from 1990 to 2021 and forecasts for 2035: a systematic analysis from the global burden of dise... by Maolang He, Ruru Gu, Xin Huang, Aifang Zhao, Fang Liu, Yong Zheng

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A Salvage Target Tracking Algorithm for Unmanned Surface Vehicles Combining Improved Line-of-Sight and Key Point Guidance by Jiahe Liu, Chao Liu, Mingmei Wen, Yang Wang, Jinzhe Wang, Rencheng Zheng

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