Predicting Social Media Popularity With Large Language Models: Transforming Metadata Into Semantic-Enriched and Contextualized Text by Tianjian Chen, Jiang Huang, Xuetong Wu, Changcheng Shao

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Predicting habitat suitability of Illicium griffithii under climate change scenarios using an ensemble modeling approach by Anubhav Bhuyan, Amal Bawri, Bhrigu Prasad Saikia, Shilpa Baidya, Suhasini Hazarika, Bijay Thakur, Vivek Chetry, Bidya Sagar Deka, Pangkhi Bharali, Amit Prakash, Kuladip Sarma, Ashalata Devi

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Online Prediction Method for Power System Frequency Response Analysis Based on Swarm Intelligence Fusion Model by Lin Xu, Li Li, Meiying Wang, Xiangxu Wang, Yicong Li, Weidong Li, Kuanjiu Zhou

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SOC and SOH Prediction of Lithium‐Ion Batteries Based on LSTM–AUKF Joint Algorithm by Yancheng Song, Jiaqi Lu, Huai Zhang, Guangjun Liu

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Performance prediction of radio frequency based negative ion source using fusion neural network model by Yu Gu, Chundong Hu, Yang Li, Yuwen Yang, Yahong Xie, Qinglong Cui, Yuanzhe Zhao

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Simulation and Prediction of Springback in Sheet Metal Bending Process Based on Embedded Control System by Jinhan Xu, Jun Yan, Yan Huang, Dawei Ding

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Development of a nomogram for predicting the intraperitoneal rupture of necrotic collection in patients with necrotizing pancreatitis by Gang Li, Yang Liu, Zirui Liu, Minchun Bu, Kaiming Li, Jie Yang, Jingzhu Zhang, Jing Zhou, Bo Ye, Lin Gao, Zhihui Tong, Weiqin Li

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A Water Quality Prediction Model Based on Long Short-Term Memory Networks and Optimization Algorithms by Aihua Yu, Qingjie Xiao

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Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis by Dongliang Hu, Manman Cui, Xueke Zhang, Yuanyuan Wu, Yan Liu, Duchang Zhai, Wanliang Guo, Shenghong Ju, Guohua Fan, Wu Cai

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Modeling and Predicting Uncertainty in Tidal Turbine Power Output: A Data-Driven Time-Series Approach by Niousha Talebpour, Mohammad Ilbeigi

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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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