Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models by Soud Khalil Ibrahim, Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav, Soumya V. Menon, Debasish Shit, S. Supriya, Rajashree Panigrahi, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Hiba Mushtaq

“…The model’s performance has been evaluated using the prediction of sugar solubilities in water. …”
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Parameter-Efficient Adaptation of Large Vision—Language Models for Video Memorability Prediction by Iván Martín-Fernández, Sergio Esteban-Romero, Fernando Fernández-Martínez, Manuel Gil-Martín

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Recent development of risk-prediction models for incident hypertension: An updated systematic review. by Dongdong Sun, Jielin Liu, Lei Xiao, Ya Liu, Zuoguang Wang, Chuang Li, Yongxin Jin, Qiong Zhao, Shaojun Wen

“…<h4>Conclusions</h4>The traditional models are still the predominant risk prediction models for hypertension, but recently, more models have begun to incorporate genetic factors as part of their model predictors. …”
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The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies. by Viviane Naimy, Omar Haddad, Gema Fernández-Avilés, Rim El Khoury

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Penalized Logistic Regression Models for Phenotype Prediction Based on Single Nucleotide Polymorphisms by seyedeh rezwan Hosseini, Farnaz Ghassemi, Mohammad Hasan Moradi

“…Some SNPs alone and some by interacting with others, play an important role in any phenotype or specific disease. Various models, including the regression models, are designed and implemented for the prediction of these diseases. …”
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Fast and effective assessment for individuals with special needs form optimization and prediction models by Bilal Baris Alkan, Muhammet Kumartas, Serafettin Kuzucuk, Nesrin Alkan

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Towards Predictive Communication: The Fusion of Large Language Models and Brain–Computer Interface by Andrea Carìa

“…First, I will review the evolution of language models—from early rule-based systems to contemporary deep learning architectures—and their role in enhancing predictive writing. …”
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COWAVE: A labelled COVID-19 wave dataset for building predictive models. by Melpakkam Pradeep, Karthik Raman

“…We also use a simple eXtreme Gradient Boosting (XGBoost) model to provide a minimum standard for future classifiers trained on this dataset and demonstrate the utility of our dataset for the prediction of (future) waves. …”
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Prediction models for intraventricular hemorrhage in very preterm infants: a systematic review by Ping Xiong, Yonggang Wei, Lei Li, Houxin Kang, Zhangbin Yu, Hong Tang, Yuanlin Pu

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Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions by Wenxin Xu, Jie Chen, Gerald Corzo, Chong‐Yu Xu, Xunchang John Zhang, Lihua Xiong, Dedi Liu, Jun Xia

Subjects: “…monthly streamflow prediction…”
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Dynamic in-context learning with conversational models for data extraction and materials property prediction by Chinedu E. Ekuma

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Application of Three Neural Network Models in the Prediction ofStratospheric Wind Field by YUAN Junjie, LUO Rubin, LIAO Jun, YANG Zechuan, WANG Ning, LI Jun

“…Wind field forecast is of great significance for aerostat trajectory prediction. Traditional theoretical models can only predict wind speed in the next few hours, while BP neural network models can predict wind speeds in next few days. …”
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Artificial intelligence prediction models for acute respiratory distress syndrome：progress and challenges by MENG Xianglin*，XIONG Yaxin，HAN Ci，GE Xin，ZHAO Mingyan

“…Compared with traditional scoring systems，AI models perform well in predicting mortality and optimizing clinical decision ⁃ making，especially through multimodal data fusion，which can significantly improve the prediction accuracy of the models. …”
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Predictive analysis of Somalia’s economic indicators using advanced machine learning models by Bashir Mohamed Osman, Abdillahi Mohamoud Sheikh Muse

“…This paper evaluates the performance of three machine learning models—Random Forest Regression (RFR), XGBoost, and Prophet—in predicting Somalia's GDP. …”
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Development and validation of predictive models for distant metastasis and prognosis of gastroenteropancreatic neuroendocrine neoplasms by Xuan-Peng Zhou, Luan-Biao Sun, Wen-Hao Liu, Xin-Yuan Song, Yang Gao, Jian-Peng Xing, Shuo-Hui Gao

“…This study aims to develop and validate a risk prediction model for the distant metastases and prognosis of GEP-NENs. …”
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The impact of CNN MHAM-enhanced WRF and BPNN models for user behavior prediction by Kaixin Zheng, Zhensen Liang

“…Abstract To address the challenge of user behavior prediction on artificial intelligence (AI)-based online education platforms, this study proposes a novel ensemble model. …”
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Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

“…Abstract Background Alterations in epigenetic DNA methylation (DNAm) can be used as an accurate and robust method for biological age prediction. We assessed the feasibility of incorporating sex chromosomal DNAm markers into a six autosomal DNAm CpG marker-based age prediction model, since DNAm-based prediction modeling has predominantly relied on analyzing DNAm patterns on autosomes. …”
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Performance Comparison of Basic Pesticide Residue Prediction Models in Domestic Agricultural Environments by Hyun-Geoun Park, Sang-Ik Suh, Bum-Seok Lee, Hyo-Sub Lee, Seo Jin Ki

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Deterioration Models and Service Life Prediction of Vertical Assets of Urban Water Systems by M. Cabral, D. Loureiro, C. Amado, D. Covas

Subjects: “…deterioration models…”
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Nonequilibrium Molecular Velocity Distribution Functions Predicted by Macroscopic Gas Dynamic Models by Maksim Timokhin, Yevgeniy Bondar

“…In the present study, abilities of various macroscopic models (Navier–Stokes–Fourier, Burnett, original and regularized Grad’s 13-moment equations) in predicting the nonequilibrium molecular velocity distribution are examined. …”
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