Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network by Muhammad Aseer Khan, Dur-e-Zehra Baig, Husan Ali, Fahad R. Albogamy

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Advanced battery management system enhancement using IoT and ML for predicting remaining useful life in Li-ion batteries by Gopal Krishna, Rajesh Singh, Anita Gehlot, Ahmad Almogren, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

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High-Resolution prediction of soil pH in European temperate forests using Sentinel-2 and ancillary environmental data by Haidi Abdullah, Andrew K. Skidmore, Andjin Siegenthaler, Elnaz Neinavaz

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Utilizing LSTM-GRU for IOT-Based Water Level Prediction Using Multi-Variable Rainfall Time Series Data by Indrastanti Ratna Widiasari, Rissal Efendi

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Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network by Fatemeh Makhloughi

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CytoLNCpred-a computational method for predicting cytoplasm associated long non-coding RNAs in 15 cell-lines by Shubham Choudhury, Naman Kumar Mehta, Gajendra P. S. Raghava

“…Correlation-based features combined with ML algorithms outperform LLM-based models, in the case of predicting differential lncRNA localization. …”
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Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context by Xiaoqing Huang, Xiaodan Di, Suiwen Lin, Minrong Yao, Suijin Zheng, Shuyi Liu, Wayan Lau, Zhixin Ye, Zilian Wang, Bin Liu

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Prediction of primary biliary cholangitis among health check-up population with anti-mitochondrial M2 antibody positive by Haolong Li, Song Liu, Xu Wang, Xinxin Feng, Siyu Wang, Yanli Zhang, Fengchun Zhang, Li Wang, Tengda Xu, Yongzhe Li

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Aberrant fragmentomic features of circulating cell-free mitochondrial DNA enable early detection and prognosis prediction of hepatocellular carcinoma by Yang Liu, Fan Peng, Siyuan Wang, Huanmin Jiao, Kaixiang Zhou, Wenjie Guo, Shanshan Guo, Miao Dang, Huanqin Zhang, Weizheng Zhou, Xu Guo, Jinliang Xing

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Cardiovascular magnetic resonance feature tracking derived strain analysis can predict return to training following exertional heatstroke by Jun Zhang, Song Luo, Li Qi, Shutian Xu, Dongna Yi, Yue Jiang, Xiang Kong, Tongyuan Liu, Weiqiang Dou, Jun Cai, Long Jiang Zhang

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Deep Learning‐Based Prediction of Final Infarct Core from CT Perfusion Data: A Comparison to the Clinical Standard by Freda Werdiger, Milanka Visser, Chushuang Chen, Christina Lam, James Kolacz, Mark W. Parsons, Longting Lin, Christopher Levi, Andrew Bivard

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Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM by Feng-Ming Zhao, De-Xin Gao, Yuan-Ming Cheng, Qing Yang

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Optimized landslide susceptibility prediction based on SBAS-InSAR: case study of the Jiuzhaigou Ms7.0 earthquake by Shiqian Yin, Zebing Dai, Ying Zeng

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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

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Improving machine learning algorithm for risk of early pressure injury prediction in admission patients using probability feature aggregation by Shu-Chen Chang, Shu-Mei Lai, Mei-Wen Wu, Shou-Chuan Sun, Mei-Chu Chen, Chiao-Min Chen

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Prediction of R1234yf flow boiling behavior in horizontal, vertical, and inclined tubes using machine learning techniques by Farzaneh Abolhasani, Behrang Sajadi, Mohammad Ali Akhavan-Behabadi

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Cyber intrusion detection using ensemble of deep learning with prediction scoring based optimized feature sets for IOT networks by Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Vaishali H. Kamble

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Identification of gastric cancer subtypes based on disulfidptosis-related genes: GPC3 as a novel biomarker for prognosis prediction by Nan Yi, Xindong Yin, Xiao Feng, Ming Ren, Chaoqun Ma

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The development of the pediatric NAFLD fibrosis score (PNFS) to predict the presence of advanced fibrosis in children with nonalcoholic fatty liver disease. by Naim Alkhouri, Sana Mansoor, Paola Giammaria, Daniela Liccardo, Rocio Lopez, Valerio Nobili

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Predicting the potential distribution of stingless bee, Tetragonula iridipennis in India using MaxEnt and CMIP6 climate projections by V. Karuppaiah, R. Maruthadurai, Bappa Das, P. S. Soumia, Ankush Gadge, Chandrashekhar Pote, Dhananjay Shirsat, Trupti Pandit, Sanket Sawant, S. V. Ramesh, Vijay Mahajan

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