Inverse Design of Plasmonic Nanostructures Using Machine Learning for Optimized Prediction of Physical Parameters by Luana S. P. Maia, Darlan A. Barroso, Aêdo B. Silveira, Waleska F. Oliveira, André Galembeck, Carlos Alexandre R. Fernandes, Dayse G. C. Bandeira, Benoit Cluzel, Auzuir R. Alexandria, Glendo F. Guimarães

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Predicting subjective sleepiness during auditory cognitive testing using voice signaling analysis by Tue T. Te, Mary Regina Boland, Sara Ghadimi, Joseph M. Dzierzewski, Cathy Alessi, Jennifer L. Martin, Sarah Kremen, Alex A. T. Bui, Arash Naeim, Constance H. Fung

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Analyzing the Implementation of PLS-SEM in Educational Technology Research: A Review of the Past 10 Years by Servet Demir, Muhammet Uşak

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Prediction of the packaging chemical migration into food and water by cutting-edge machine learning techniques by Behzad Vaferi, Mohsen Dehbashi, Reza Yousefzadeh, Ali Hosin Alibak

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From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference by Adèle Helena Ribeiro, Júlia M. P. Soler, Rodrigo M. Corder, Marcelo U. Ferreira, Marcelo U. Ferreira, Dominik Heider

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Application of Machine Tool Thermal Error Compensation in Digital Twin-based System by MA Chi, LI Minging, LIU Jialan, HE Jialong, HUA Chunlei, WANG Liang

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Trend equation prediction in medical and pharmaceutical studies (the example of respiratory diseases development in children in the region) by O. V. Zhukova, S. V. Kononova, T. M. Konyshkina

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Research on Adaptive Education Path Dynamic Programming Algorithm Based on Reinforcement Learning and Cognitive Graphs by Hongli Lou, Pin Yue, Jianwen Chen

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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

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AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications by Xiaoya Chen, Huinan Xu, Shengjie Yu, Wan Hu, Zhongjin Zhang, Xue Wang, Yue Yuan, Mingyue Wang, Liang Chen, Xiumei Lin, Yinlei Hu, Pengfei Cai

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Stroke risk prediction: a deep learning approach for identifying high-risk patients by Afeez A. Soladoye, Kazeem M. Olagunju, Sunday A. Ajagbe, Ibrahim A. Adeyanju, Precious I. Ogie, Pragasen Mudali

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INTERVAL PREDICTION OF NON-STATIONARY PROCESSES, DESCRIBED BY STOCHASTIC DIFFERENTIAL EQUATIONS WITH VARIABLE PARAMETERS by A. V. Ausiannikau

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Digitally Enabled AI-Interpreted Salivary Ferning–Based Ovulation Prediction: Feasibility Study by Elizabeth Peebles, William Finlay, Thao-Mi Nguyen, Samuel Barrett, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Hemanth Kandula, Carrie Sarcione, Kaitlyn E James, Hadi Shafiee, Shruthi Mahalingaiah

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Ensemble Approach for Image Recompression-Based Forgery Detection by Se-Jun Ham, Van-Ha Hoang, Chun-Su Park

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Evaluating the Booster Grant’s Impact on YouthMappers’ Climate Activism and Climate Education in Sri Lanka by Ibra Lebbe Mohamed Zahir, Suthakaran Sundaralingam, Meerasa Lewai Fowzul Ameer, Sriram Sindhuja, Atham Lebbe Iyoob

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Short-Term Photovoltaic Power Combined Prediction Based on Feature Screening and Weight Optimization by Liqing Geng, Yadong Yang, Genghuang Yang, Yongfeng Zheng, Xiaocong Liu

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Influencing factors and quantitative prediction of gas content of deep marine shale in Luzhou block by Xinyang He, Kun Zhang, Shu Jiang, Zhenxue Jiang, Xueying Wang, Wei Jiang, Jing Li, Yijia Wu, Zhi Gao, Tian Tang, Cheng Yang, Xuejiao Yuan, Fengli Han, Zeyun Wang, Laiting Ye

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Longitudinal associations between BMI, ideal-actual BMI gap, and body shape concern among young Chinese females by Yebo Yu, Siyan Yuan, Jie Wang, Xuemei Zhao, Lutong Li, Hewei Min, Siyu Dong, Dongxia Yu, Xinying Sun

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Enhancing Wind Turbine Power Output Estimation Using Causal Inference and Adaptive Neuro-Fuzzy Inference System ANFIS by Ahmed A. Mostfa, Nawfal A. Zakar, Rasha Raad Al-Mola, Abdel-Nasser Sharkawy

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Comparative Study of Random Forest and Gradient Boosting Algorithms to Predict Airfoil Self-Noise by Shantaram B. Nadkarni, G. S. Vijay, Raghavendra C. Kamath

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