Passivity-Based Model-Predictive Control for the Permanent Magnet Synchronous Machine by Alejandro Garcés-Ruiz, Walter Julián Gil González

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Construction and evaluation of an aspirin resistance risk prediction model for ischemic stroke by Tianyu Ma, Xue Wang, Yan Song, Junying Liu, Min Zhang

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Path tracking of automatic parking based on nonlinear model predictive control by GU Qing, BAI Guo-xing, MENG Yu, LIU Li, LUO Wei-dong, GAN Xin

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Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction by Julina Maharjan, Ruoming Jin, Jianfeng Zhu, Deric Kenne

“…First, we generated text embeddings using 3 LLM architectures (RoBERTa, BERT, and OpenAI) and trained a custom bidirectional long short-term memory model for personality prediction. We compared this approach against zero-shot inference using prompt-based methods. …”
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Prediction Model of Asphalt Content of Asphalt Mixture Based on Dielectric Properties by Yanhui Zhong, Yilong Wang, Bei Zhang, Xiaolong Li, Songtao Li, Yanmei Zhong, Meimei Hao, Yanlong Gao

“…Based on the dielectric properties of an asphalt mixture, the prediction model of asphalt content is deduced theoretically using three types of dielectric models: Lichtenecker-Rother (L-R) model, Rayleigh model, and Bottcher equation. …”
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Predictive slope stability early warning model based on CatBoost by Yuan Cai, Ying Yuan, Aihong Zhou

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Current Developments in Dementia Risk Prediction Modelling: An Updated Systematic Review. by Eugene Y H Tang, Stephanie L Harrison, Linda Errington, Mark F Gordon, Pieter Jelle Visser, Gerald Novak, Carole Dufouil, Carol Brayne, Louise Robinson, Lenore J Launer, Blossom C M Stephan

“…<h4>Interpretation</h4>There is no one model that is recommended for dementia risk prediction in population-based settings. …”
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Predictive Modeling for Cardiovascular Disease in Patients Based on Demographic and Biometric Data by Abayomi Danlami Babalola, Kayode Francis Akingbade, Daniel Olakunle

“…The results demonstrate that all three models achieve accuracy performance in predicting CVD events, with AUC values ranging from 0.85 to 0.92. …”
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Development and validation of an interpretable risk prediction model for the early classification of thalassemia by Jin-Xin Lai, Jia-Wei Tang, Shan-Shan Gong, Ming-Xiong Qin, Yu-Lu Zhang, Quan-Fa Liang, Li-Yan Li, Zhen Cai, Liang Wang

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DrugFormer: Graph‐Enhanced Language Model to Predict Drug Sensitivity by Xiaona Liu, Qing Wang, Minghao Zhou, Yanfei Wang, Xuefeng Wang, Xiaobo Zhou, Qianqian Song

“…To address this challenge, DrugFormer, a novel graph‐augmented large language model designed to predict drug resistance at single‐cell level is proposed. …”
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Future Graduate Salaries Prediction Model Based On Recurrent Neural Network by Jakub Siłka, Michał Wieczorek, Marcin Woźniak

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Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction by Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao

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Short-Term Prediction of Traffic Flow Based on the Comprehensive Cloud Model by Jianhua Dong

Subjects: “…flow prediction…”
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A predictive language model for SARS-CoV-2 evolution by Enhao Ma, Xuan Guo, Mingda Hu, Penghua Wang, Xin Wang, Congwen Wei, Gong Cheng

“…Abstract Modeling and predicting mutations are critical for COVID-19 and similar pandemic preparedness. …”
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Modeling sediment transport on the storage capacity and life prediction of Sadpara dam by Munawwar Ali Abbas, Ahmad Cho, Muhammad Abid, Hafiz Abdul Wajid, Mukhtar Ahmed

“…The volume of water released from the Deosai River, bed slop, and the manning coefficient are concluded the contributing factors for transported sediment deposition in the reservoir. The model presented is recommended beneficial for the prediction of potential changes in the river bathymetry till 2060.…”
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Modeling and Prediction of Mixed Errors in Feed Systems Based on Digital Twins by HUANG Hua, MEI Le, ZHI Xiaobo, ZHANG Huiwang

“…These omissions lead to discrepancies between the mechanism model ’ s predictions and actual performance, ultimately affecting prediction accuracy. …”
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Topological modeling and QSPR based prediction of physicochemical properties of bioactive polyphenols by Abdul Hakeem, Asad Ullah, Shahid Zaman, Emad E. Mahmoud, Hijaz Ahmad, Parvez Ali, Melaku Berhe Belay

“…Our QSPR analysis demonstrates strong predictive correlations, highlighting the potential of graph-theoretical descriptors in rational drug design and bioactivity prediction. …”
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‌Rockburst intensity grading prediction based on the LOF-ENN-KNN model‌ by Haoran Ge, Jiyong Zhang, Congbo Ma, Kai Hui, Yicong Li, Ziniu Wu

“…Aiming at the key problems in rockburst prediction, such as insufficient analysis of nonlinear correlation characteristics, significant discreteness of small sample data and limited generalization ability of traditional models, this study innovatively constructs a LOF-ENN-KNN coupling prediction model. …”
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Prediction Model for Brain Metastasis in Patients With Metastatic Germ‐Cell Tumors by Tareq Salous, Ryan Ashkar, Sandra K. Althouse, Clint Cary, Timothy Masterson, Nasser H. Hanna, Jennifer King, Lawrence H. Einhorn, Nabil Adra

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A predictive model for damp risk in english housing with explainable AI by Gulala Aziz, Adam Hardy

“…This study develops a predictive model for damp risk, using 2,073 inspection records from a housing association across 125 local authorities. …”
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