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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An interpretable electrocardiogram-based model for predicting arrhythmia and ischemia in cardiovascular disease by Tanjila Alam Sathi, Rafsan Jany, Razia Zaman Ela, AKM Azad, Salem Ali Alyami, Md Azam Hossain, Iqram Hussain

“…We designed a predictive framework utilizing boosting ML algorithms, enhanced by explainable artificial intelligence (XAI) techniques, to ensure high predictive performance in model interpretation. …”
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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

“…Using several widely recognized degree-based topological indices, we construct molecular graph models of these polyphenols and establish linear regression models correlating the computed indices with essential physicochemical properties. …”
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Predicting flavonoid physicochemical properties using topological indices and regression modeling by Huili Li, Shamaila Yousaf, Komal Shahzadi, Sobhy M. M. Ibrahim, Adnan Aslam, Guoping Zhang, Keneni Abera Tola

“…This study leverages degree-based topological indices (TIs) to predict six physicochemical properties of sixty flavonoids using linear, quadratic, and logarithmic regression models. …”
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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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Transformative Movie Discovery: Large Language Models for Recommendation and Genre Prediction by Subham Raj, Anurag Sharma, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar

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A Robust Stacking-Based Ensemble Model for Predicting Cardiovascular Diseases by Hayat Bihri, Lalla Amina Charaf, Salma Azzouzi, My El Hassan Charaf

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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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Prediction model for rutting of asphalt concrete pavement considering temperature influence by Wang Chuhong, Wang Zhichao

“…This study, based on Perzyna's visco-plastic theory, proposes a new elastic-viscoplastic constitutive model. This model accurately predicts the rutting deformation of asphalt concrete pavement under various temperatures and traffic load conditions through the time-temperature superposition principle. …”
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RGX Ensemble Model for Advanced Prediction of Mortality Outcomes in Stroke Patients by Jing Fang, Baoying Song, Lingli Li, Linfeng Tong, Miaowen Jiang, Jianzhuo Yan

“…Objective: This paper aims to address the clinical challenge of predicting the outcomes of stroke patients and proposes a comprehensive model called RGX to help clinicians adopt more personalized treatment plans. …”
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Application of Machine Learning Models to Multi-Parameter Maximum Magnitude Prediction by Jingye Zhang, Ke Sun, Xiaoming Han, Ning Mao

“…Magnitude prediction is a key focus in earthquake science research, and using machine learning models to analyze seismic data, identify pre-seismic anomalies, and improve prediction accuracy is of great scientific and practical significance. …”
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Predicting the Quality of Pasteurized Vegetables Using Kinetic Models: A Review by Muhammad Aamir, Mahmoudreza Ovissipour, Shyam S. Sablani, Barbara Rasco

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Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

“… This paper proposes an approach for constructing a system for career prediction by applying the eXtreme Gradient Boosting (XGBoost) Decision Tree model to the academic results of Ho Chi Minh International University’s School of Computer Science and Engineering graduates in the past 5 years. …”
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Comparative Analysis of LSTM and GRU Models for Ethereum (ETH) Price Prediction by Moch Panji Agung Saputra, Riza Andrian Ibrahim, Renda Sandi Saputra

“…Although various studies have compared the performance of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) in predicting financial asset prices, there are still differences in results regarding which model is superior. …”
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