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Artificial intelligence

A hybrid CNN-ViT based framework for automatic traffic actions detection in smart cities

Mucahit Karaduman, Neunggyu Han, [ ... ], Yunyoung Nam

DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome

Hussam Alsharif

Biological age threshold is associated with symptomatic knee osteoarthritis risk in chinese adults: Insights from machine learning analysis of a national cohort

Fanyu Fu, Li Dong, [ ... ], Yufeng Wang

AI-driven approaches for dysgraphia diagnosis using online and offline handwriting data: A comprehensive scoping review

Avisa Fallah, Yazdan ZandiyeVakili, Hedieh Sajedi

Augmented Ensemble Model (AEM) for health trends prediction on social networks

Sonia Saini, Ruchi Agarwal, [ ... ], Rohit Verma

Machine learning-guided identification and simulation-based validation of potent JAK3 inhibitors for cancer therapy

Hailang Wei, Qingyun Wang

Democratizing social media for health research: LLM-powered data analytics platform for NCDs

Ratchanont Thippimanporn, Wuttichai Khamna, Kannika Wiratchawa, Thanapong Intharah

Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks

Rong Wang, Weibin Jiang, [ ... ], Kan-Lin Hsiung

A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model

Shayma Alkobaisi, Wan D. Bae, [ ... ], Robert Marek Nowak

Coaching presence as the foundation for the working alliance in AI coaching

Gy Yoong Nam, Jinhee Choi

A machine learning framework for predicting fuel consumption and CO₂ emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation

Rania A. Ibrahim, Nahla E. Zakzouk

An evaluation of Roluperidone as a promising repurposing candidate for Alzheimer’s Disease: A Computational Investigation

Rehnuma Tanjin, Md. Al-Amin, [ ... ], Md. Faruk Hossen

Utilizing multi-level convolutional neural networks to achieve refined modeling and visual analysis of college students’ mental health data

Xianwei Huang, Wei Jiang

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