Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data by Jingyeong Jeong, Yoonseo Jeon, Hyungju Kim, Ji Won Yeom, Yu-Bin Shin, Sujin Kim, Seung Pil Pack, Heon-Jeong Lee, Taesu Cheong, Chul-Hyun Cho

“…This study aimed to propose a predictive machine learning model based on digital phenotypes for RLS diagnosis. …”
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Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network. by Itunuoluwa Isewon, Stephen Binaansim, Faith Adegoke, Jerry Emmanuel, Jelili Oyelade

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Spatial predictions of soil moisture across a longitudinal gradient in semiarid ecosystems using UAV and RGB sensors by Alexander Hernandez, Efrain Duarte, Peter Porter, Holden Brecht

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Wind Tunnel Process Mach Number Prediction Based on Modal, Stage, and Intra-Stages Three-Layer Partitioning by Haixuan Yuan, Jin Guo, Wenshan Yu, Luping Zhao

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Shelf-life prediction of blondo-based probiotic ice cream using accelerated shelf-life testing method by Rafli Zulfa Kamil, Sri Mulyani, Regina Putri Ikhwani, Ana Wulandari

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Predicting the Impact of Climate Change on Severe Wintertime Particulate Pollution Events in Beijing Using Extreme Value Theory by D. C. Pendergrass, L. Shen, D. J. Jacob, L. J. Mickley

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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

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Predicting the Temperature of a Permanent Magnet Synchronous Motor: A Comparative Study of Artificial Neural Network Algorithms by Nabil El Bazi, Nasr Guennouni, Mohcin Mekhfioui, Adil Goudzi, Ahmed Chebak, Mustapha Mabrouki

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Economic Operation Optimization for New Energy Microgrid Based on Deterministic Method by Yingshuang SUN, Cong LUO, Leyi GE

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A Comparative Study of Hybrid Adaptive Neuro-Fuzzy Inference Systems to Predict the Unconfined Compressive Strength of Rocks by Annabelle Graham, Emma Scott

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Prediction of antibiotic resistance from antibiotic susceptibility testing results from surveillance data using machine learning by Swetha Valavarasu, Yasaswini Sangu, Tanmaya Mahapatra

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Using the particle finite element method for predicting edge-cracking in complex phase high-strength steel sheets by Sandin Olle, Larour Patrick, Rodríguez Juan Manuel, Kajberg Jörgen, Casellas Daniel

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LSTM-based lane change prediction using Waymo open motion dataset: The role of vehicle operating space by Xing Fu, Jun Liu, Zhitong Huang, Alex Hainen, Asad J. Khattak

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The predictive value of neutrophil to high-density lipoprotein cholesterol ratio in early pregnancy for gestational diabetes based on nomogram by Yuehan Ma, Jianbing Sun, Ning Yuan, Sixu Xin, Dan Zhao, Xiaomei Zhang

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Self‐paced learning long short‐term memory based on intelligent optimization for robust wind power prediction by Shun Yang, Xiaofei Deng, Dongran Song

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Enhanced metal ion adsorption using ZnO-MXene nanocomposites with machine learning-based performance prediction by Abhishek Kagalkar, Swapnil Dharaskar, Nitin Chaudhari, Vinay Vakharia, Rama Rao Karri

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Grain Protein Function Prediction Based on CNN and Residual Attention Mechanism with AlphaFold2 Structure Data by Jing Liu, Xinping Zhang, Kai Huang, Yuqi Wei, Xiao Guan

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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana by Frederick Osei Owusu, Helena Addai-Manu, Esther Serwah Agbedinu, Emmanuel Konadu, Lydia Asenso, Mercy Addae, Joseph Osarfo, Brenda Abena Ampah, Douglas Aninng Opoku

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Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis by Benqiao Wang, Bohao Jiang, Dan Liu, Ruixia Zhu

“…Currently, there is no ideal tool for early prediction of HT risk. Recently, machine learning has gained traction in stroke management, prompting the exploration of predictive models for HT. …”
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Numerical power prediction for waDED produced aluminium ER5183 wall structures on vertical substrate plates by Fabio Haunreiter, Hugo Drexler, Martin Schnall, Alois Birgmann, Johannes Kronsteiner, Thomas Kopf, David Gruber, Pauline Meyer-Heye, Matthias Hartmann

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