Federated Kolmogorov-Arnold Networks for Health Data Analysis: A Study Using ECG Signal DOI
Sileshi Nibret Zeleke, Mario A. Bochicchio

2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 8070 - 8077

Опубликована: Дек. 15, 2024

Язык: Английский

Novel Kolmogorov-Arnold network architectures for accurate flood susceptibility mapping: a comparative study DOI Creative Commons
Seyd Teymoor Seydi, Mojtaba Sadegh

Journal of Hydrology, Год журнала: 2025, Номер unknown, С. 133553 - 133553

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs) DOI Creative Commons
Prakash Thakolkaran,

Yaqi Guo,

Shruti Saini

и другие.

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2025, Номер 443, С. 118089 - 118089

Опубликована: Май 29, 2025

Язык: Английский

Процитировано

0

CTIFERK: A Thermal Infrared Facial Expression Recognition Model with Kolmogorov–Arnold Networks for Smart Classrooms DOI Open Access

Zhaoyu Shou,

Yongsheng Tang, Dongxu Li

и другие.

Symmetry, Год журнала: 2025, Номер 17(6), С. 864 - 864

Опубликована: Июнь 2, 2025

Accurate recognition of student emotions in smart classrooms is vital for understanding learning states. Visible light-based facial expression often affected by illumination changes, making thermal infrared imaging a promising alternative due to its robust temperature distribution symmetry. This paper proposes CTIFERK, model integrating Kolmogorov–Arnold Networks (KANs). By incorporating multiple KAN layers, CTIFERK enhances feature extraction and fitting capabilities. It also balances pooling layer information from the MobileViT backbone preserve symmetrical features, improving accuracy. Experiments on Tufts Face Database, IRIS self-constructed GUET thermalface dataset show that achieves accuracies 81.82%, 82.19%, 65.22%, respectively, outperforming baseline models. These results validate CTIFERK’s effectiveness superiority classrooms, enabling reliable emotion monitoring.

Язык: Английский

Процитировано

0

Federated Kolmogorov-Arnold Networks for Health Data Analysis: A Study Using ECG Signal DOI
Sileshi Nibret Zeleke, Mario A. Bochicchio

2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 8070 - 8077

Опубликована: Дек. 15, 2024

Язык: Английский

Процитировано

0