Prediction of grain size in TB18 titanium alloy forgings by re-crystallization and grain growth modelling by Wei Xiang, Qineng Li, Feng Zhang, Wuhua Yuan

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Retentive Time Series: A Scalable Machine Learning Model for Traffic Prediction in Elastic Optical Networks by Faranak Khosravi, Mehdi Shadaram

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A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis by Sheng Zhang, Gaochen Lu, Weihong Wang, Qianqian Li, Rui Wang, Zulun Zhang, Xia Wu, Chenchen Liang, Yujie Liu, Pan Li, Quan Wen, Bota Cui, Faming Zhang

“…Besides, the voting ensembles exhibited an area under curve (AUC) of 0.769 ± 0.019 [accuracy, 0.754; F1-score, 0.845] in the internal validation; the AUC of the external validation was 0.614 ± 0.017 [accuracy, 0.801; F1-score, 0.887]. Additionally, the model was available at https://wmtpredict.streamlit.app.ConclusionsThis study pioneered the development of a machine learning model to predict the one-month clinical response of WMT on UC. …”
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A Storm Frame Optimization Method for Predicting and Warning the Safety Status of a Shearer by Pei Zhang, Yanpeng He, Li Ma, Changkui Cong

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Advanced solar radiation prediction using combined satellite imagery and tabular data processing by Mohammed Attya, O. M. Abo-Seida, H. M. Abdulkader, Amgad M. Mohammed

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Design of a Predictive Controller for the Current Loop of the Tubular Linear Motor Using a Discrete Model by Nguyen Trung Thanh, Nguyen Minh Cuong, Le Thi Thuy Ngan, Duong Quoc Tuan

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Forming limit prediction of advanced high-strength steels (AHSS) using an enhanced ductile damage model by Nguyen H. Hao

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Prediction of crop growth environmental data using LSTM by WU Chao, ZHOU Zijing, HUANG Jinhua, XU Xiaoyin, QIU Hong, PENG Yeping

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Cyclic peptide membrane permeability prediction using deep learning model based on molecular attention transformer by Dawei Jiang, Zixi Chen, Zixi Chen, Hongli Du

“…Experimental membrane permeability testing is costly, and precise in silico prediction tools are scarce. In this study, we developed CPMP (https://github.com/panda1103/CPMP), a cyclic peptide membrane permeability prediction model based on the Molecular Attention Transformer (MAT) frame. …”
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Advancing early warning mechanisms: an augmented intelligence-driven model for predicting multidimensional vulnerability levels in Afghanistan by Damla Aras, Timothy Westlake

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Drone Attitude and Position Prediction via Stacked Hybrid Deep Learning Model for Massive MIMO Applications by Abdullah Al-Ahmadi

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A Novel Encoder–Decoder Model for Short-Term Multistep Wind Power Prediction by Qiushi Wang, Dekuan Wang, Yifan Li

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Estimation of soil moisture levels at field capacity and wilting point by predictive models on a regional scale by P. Pérez Cutillas, G. González Barberá, Carmelo Conesa García

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Machine Learning for 1-Year Mortality Prediction in Lung Transplant Recipients: ISHLT Registry by Hye Ju Yeo, Hye Ju Yeo, Dasom Noh, Eunjeong Son, Eunjeong Son, Sunyoung Kwon, Sunyoung Kwon, Sunyoung Kwon, Woo Hyun Cho, Woo Hyun Cho

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Predicting the Impact of Global Climate Change on the Geographic Distribution of Anemochoric Species in Protected Areas by Larissa Alves-de-Lima, Douglas Fernandes Rodrigues Alves, Diego Vinicius Anjos, Fernando Anco Valdivia, Helena Maura Torezan-Silingardi

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A Dynamic Prediction Method for Rolling Bearings Residual Life via Multi-Stage Exponential Model by Xueyan Ye, Suhua Qiao, Chen Sun, Yinjun Wang

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A Fuzzy Neural Network-Based Intelligent Prediction Model for Useful Lifespan of Lithium-Ion Batteries by Yaowei Xu, Zhenxing Hao, Wei Li, Angang Cao

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Estimation of soil moisture levels at field capacity and wilting point by predictive models on a regional scale by P. Pérez Cutillas, G. González Barberá, Carmelo Conesa García

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Enhancing heart disease prediction accuracy by comparing classification models employing varied feature selection techniques by Balliu Lorena, Zanaj Blerina, Basha Gledis, Zanaj Elma, Meçe Elinda Kajo

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Early Detection of Lung Cancer Using Predictive Modeling Incorporating CTGAN Features and Tree-Based Learning by Abdulrahman Alzahrani

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