Machine learning-based prediction of speed of sound in fatty acid ethyl esters by Kusum Yadav, Shahad Almansour, Lulwah M. Alkwai, Anupam Yadav, Mehrdad Mottaghi

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The role of personality traits in predicting educational use of generative AI in higher education by Ibrahim Arpaci, Ismail Kuşci, Omer Gibreel

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Differential genetic susceptibility to child risk at birth in predicting observed maternal behavior. by Keren Fortuna, Marinus H van Ijzendoorn, David Mankuta, Marsha Kaitz, Reut Avinun, Richard P Ebstein, Ariel Knafo

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Short-Term Power Load Prediction of VMD-LSTM Based on ISSA Optimization by Shuai Wu, Huafeng Cai

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Comparison of Linear Regression and Polynomial Regression for Predicting Rice Prices in Lhokseumawe City by Muhammad Iqbal, Rozzi Kesuma Dinata, Rizki Suwanda

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Resting-state EEG network variability predicts individual working memory behavior by Chunli Chen, Shiyun Xu, Jixuan Zhou, Chanlin Yi, Liang Yu, Dezhong Yao, Yangsong Zhang, Fali Li, Peng Xu

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NMPC-Based Performance Evaluation of Active Balancing Networks of Li-ion Batteries for Overnight EV Charging by Muhammad Azmat Ullah, Afaq Ahmed, Ali Arshad Uppal, Qadeer Ahmed

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From Monitoring to Prediction: Velocity-Based Strength Training in Female Floorball Athletes by Basil B. Achermann, Naire Regazzi, Rahel Heynen, Dennis Lüdin, Julia Suter, Anna Drewek, Silvio R. Lorenzetti

“…Seventeen participants completed 12 training sessions, a strength block set (Sessions 1–6) and a power block set (Sessions 7–12). The predictive models explained 54% to 79% (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> = 0.54–0.79) of the performance improvement in the strength-related tests. …”
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Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies by Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha

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Tuberculosis disease burden in China: a spatio-temporal clustering and prediction study by Jingzhe Guo, Ce Liu, Fang Liu, Erkai Zhou, Runxue Ma, Ling Zhang, Bin Luo

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Edge-Fog Computing-Based Blockchain for Networked Microgrid Frequency Support by Ying-Yi Hong, Francisco I. Alano, Yih-der Lee, Chia-Yu Han

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Contrast and Predictability of Island‐Scale El Niño Influences on Hawaii Wave Climate by Sen Zhao, Ning Li, Fei‐Fei Jin, Kwok Fai Cheung, Zhaoqing Yang

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Artificial intelligence in predicting pathogenic microorganisms’ antimicrobial resistance: challenges, progress, and prospects by Yan Li, Xiaoyan Cui, Xiaoyan Yang, Guangqia Liu, Juan Zhang

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Machine Learning and Parameter Optimization for Banking Stability Prediction and Determinants Identification in ASEAN by Pham Thuy Tu, Dao Le Kieu Oanh, Do Doan Trang

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Mechanisms and Subseasonal Predictability of Unprecedented Multiple Tropical Cyclone Event in Autumn 2024 by Yitian Qian, Pang‐Chi Hsu, Yangyang Zhao, Hao Li

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Multi‐trait/environment sparse genomic prediction using the SFSI R‐package by Marco Lopez‐Cruz, Gustavo delos Campos

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TEGKT: tendency-enhanced evolution graph KAN transformer for information popularity prediction by Yanchao Liu, Junpeng Gong, Wenchao Song, Chi Zhang, Pengzhou Zhang

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Predicting gut microbiota dynamics in obese individuals from cross-sectional data by Ena Melvan, Ena Melvan, Andrew P. Allen, Tea Vuckovic, Irena Soljic, Antonio Starcevic

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Enhancing healthcare AI stability with edge computing and machine learning for extubation prediction by Kuo-Yang Huang, Ying-Lin Hsu, Che-Liang Chung, Huang-Chi Chen, Ming-Hwarng Horng, Ching-Hsiung Lin, Ching-Sen Liu, Jia-Lang Xu

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Raman‐Enabled Predictions of Protein Content and Metabolites in Biopharmaceutical Saccharomyces cerevisiae Fermentations by Jeppe Hagedorn, Guilherme Ramos, Miguel Ressurreição, Ernst Broberg Hansen, Michael Sokolov, Carlos Casado Vázquez, Christos Panos

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