Oxygen Uptake Prediction for Timely Construction Worker Fatigue Monitoring Through Wearable Sensing Data Fusion by Srikanth Sagar Bangaru, Chao Wang, Fereydoun Aghazadeh, Shashank Muley, Sueed Willoughby

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AMSformer: A Transformer for Grain Storage Temperature Prediction Using Adaptive Multi-Scale Feature Fusion by Qinghui Zhang, Weixiang Zhang, Quanzhen Huang, Chenxia Wan, Zhihui Li

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Predicting T Cell Mitochondria Hijacking from Tumor Single-Cell RNA Sequencing Data with MitoR by Anna Jiang, Chengshang Lyu, Yue Zhao

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United Prediction of Travel Modes and Purposes in Travel Chains Based on Multitask Learning Deep Neural Networks by Chenxi Xiao, Zhitao Li, Jinjun Tang, Jeanyoung Jay Lee

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Magnetic Resonance Imaging Texture Analysis Based on Intraosseous and Extraosseous Lesions to Predict Prognosis in Patients with Osteosarcoma by Yu Mori, Hainan Ren, Naoko Mori, Munenori Watanuki, Shin Hitachi, Mika Watanabe, Shunji Mugikura, Kei Takase

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Toward Real-Time Discharge Volume Predictions in Multisite Health Care Systems: Longitudinal Observational Study by Fernando Acosta-Perez, Justin Boutilier, Gabriel Zayas-Caban, Sabrina Adelaine, Frank Liao, Brian Patterson

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Integrating Significant SNPs Identified by GWAS for Genomic Prediction of the Number of Ribs and Carcass Length in Suhuai Pigs by Kaiyue Liu, Yanzhen Yin, Binbin Wang, Chenxi Liu, Wuduo Zhou, Peipei Niu, Ruihua Huang, Pinghua Li, Qingbo Zhao

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Adaptive biases-incorporated latent factorization of tensors for predicting missing data in water quality monitoring networks by Xuke Wu, Xuke Wu, Lan Wang, Lan Wang, Miao Ge, Miao Ge, Jing Jiang, Jing Jiang, Yu Cai, Bing Yang, Bing Yang

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Disentangled similarity graph attention heterogeneous biological memory network for predicting disease-associated miRNAs by Yinbo Liu, Qi Wu, Le Zhou, Yuchen Liu, Chao Li, Zhuoyu Wei, Wei Peng, Yi Yue, Xiaolei Zhu

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Machine-Learning Assisted Prediction of Spectral Power Distribution for Full-Spectrum White Light-Emitting Diode by Jiajie Fan, Yutong Li, Irena Fryc, Cheng Qian, Xuejun Fan, Guoqi Zhang

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Alzheimer’s disease risk prediction using machine learning for survival analysis with a comorbidity-based approach by Ferial Abuhantash, Roy Welsch, Stan Finkelstein, Aamna AlShehhi

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Dynamic mortality prediction in critically Ill children during interhospital transports to PICUs using explainable AI by Zhiqiang Huo, John Booth, Thomas Monks, Philip Knight, Liam Watson, Mark Peters, Christina Pagel, Padmanabhan Ramnarayan, Kezhi Li

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A Temporal Network Based on Characterizing and Extracting Time Series in Copper Smelting for Predicting Matte Grade by Junjia Zhang, Zhuorui Li, Enzhi Wang, Bin Yu, Jiangping Li, Jun Ma

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Optimizing energy flow in advanced microgrids: a prediction-independent two-stage hybrid system approach by Mohamad Javad Mohamadi, Mohammad Tolou Askari, Mahmoud Samiei Moghaddam, Vahid Ghods

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A k-nearest text similarity-BiGRU approach for duration prediction of traffic accidents on expressways by Jiaona Chen, Jin Zhang, Peng Wang, Yinli Jin

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Using machine learning to predict anesthetic dose in fish: a case study using nutmeg oil by Mert Minaz, Cem Alparslan, Akif Er

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Synthetic Data Generation for Machine Learning-Based Hazard Prediction in Area-Based Speed Control Systems by Mariusz Rychlicki, Zbigniew Kasprzyk

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Predicting Relative Density of Pure Magnesium Parts Produced by Laser Powder Bed Fusion Using XGBoost by Kristijan Šket, Snehashis Pal, Janez Gotlih, Mirko Ficko, Igor Drstvenšek

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Research on Urban Road Traffic Flow Prediction Based on Sa-Dynamic Graph Convolutional Neural Network by Song Hu, Jian Gu, Shun Li

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A deep learning approach predicting the activity of COVID-19 therapeutics and vaccines against emerging variants by Robert P. Matson, Isin Y. Comba, Eli Silvert, Michiel J. M. Niesen, Karthik Murugadoss, Dhruti Patwardhan, Rohit Suratekar, Elizabeth-Grace Goel, Brittany J. Poelaert, Kanny K. Wan, Kyle R. Brimacombe, AJ Venkatakrishnan, Venky Soundararajan

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