Citing Articles For: Kolmogorov-Arnold Networks Meet Science

Feifei Cheng, Bingwen Qiu, Peng Yang, Wenbin Wu, Qiangyi Yu, Jianping Qian, Bingfang Wu, Jin Chen, Xuehong Chen, Francesco N. Tubiello, Piotr Tryjanowski, Viktoria Takacs, Yuanlin Duan, Lihui Lin, Laigang Wang, Jianyang Zhang, and Zhanjie Dong

Computers and Electronics in Agriculture 237 110689 (2025)

Interpretable physics-informed graph neural networks for flood forecasting

Mehdi Taghizadeh, Zanko Zandsalimi, Mohammad Amin Nabian, Majid Shafiee-Jood, and Negin Alemazkoor

Computer-Aided Civil and Infrastructure Engineering 40 2629 (2025)

Reinforcement response prediction of composite‐concrete beams with crack patterns and deep learning

Sike Wang, Yizhou Lin, Junyi Duan, Huaixiao Yan, Xingyu Wang, Xiaoli Xiong, Ying Huang, Shanyue Guan, and Chengcheng Tao

Computer-Aided Civil and Infrastructure Engineering 40 6638 (2025)

UKAN-EP: enhancing U-KAN with efficient attention and pyramid aggregation for 3D multi-modal MRI brain tumor segmentation

Yanbing Chen, Tianze Tang, Taehyo Kim, and Hai Shu

BMC Med Imaging 25 517 (2025)

RadioGuide-DCN: A Radiomics-Guided Decorrelated Network for Medical Image Classification

Lifeng Guo, Ying Fu, Shi Tan, Qi Wang, Yangan Zhang, Xiaohong Huang, and Xueguang Yuan

Bioengineering 13 46 (2025)

A QEFA-optimized LSTM-KAN hybrid model for dissolved oxygen prediction and control in aquaculture

Zhuhong Che, Longqin Xu, Bohao Zhang, Weiwei Zhang, Xinmiao Wang, Huiyuan Pang, Tonglai Liu, Shahbaz Gul Hassan, Liang Wang, and Shuangyin Liu

Aquacult Int 33 698 (2025)

Accurately Models the Relationship Between Physical Response and Structure Using Kolmogorov–Arnold Network

Yang Wang, Changliang Zhu, Shuzhe Zhang, Changsheng Xiang, Zhibin Gao, Guimei Zhu, Jun Sun, Xiangdong Ding, Baowen Li, and Xiangying Shen

Advanced Science 12 2413805 (2025)

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Jingguang Liao, Linying Su, JingJing Liang, and Shouqiang Liu

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Jung-Hsin Lai, Shao-Chieh Tsai, and Chin-Te Lin

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Minh Vu, Phuong Tuan Dat, Kah Kuan Teh, Van Tuan Nguyen, and Tran Huy Dat

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Youngjoon Lee, Jinu Gong, and Joonhyuk Kang

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Youngjoon Lee, Jinu Gong, and Joonhyuk Kang

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Haiping Wu, Liying Yuan, Jiaqi Liu, and Shuangquan Li

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Juan Yan, Yuhao Gao, Wenping Cao, and Cungang Hu

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Zhuoqin Yang, Jiansong Zhang, Xiaoling Luo, Xu Wu, Zheng Lu, and Linlin Shen

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Laura Pituková, Peter Sinčák, László József Kovács, and Peng Wang

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Articles Citing

Kolmogorov-Arnold Networks Meet Science

FiberKAN: Kolmogorov–Arnold Networks for Nonlinear Fiber Optics

Geo-Mamba: A data-driven Mamba framework for spatiotemporal modeling with multi-source geographic factor integration

AIMarkerFinder: AI-Assisted Marker Discovery Based on an Integrated Approach of Autoencoders and Kolmogorov–Arnold Networks

NewTalker: Exploring frequency domain for speech‐driven 3D facial animation with Mamba

GTDEKAN: Graph-aware transformer and enhanced Kolmogorov-Arnold Network for microbe-drug association prediction

A Short-Term Photovoltaic Power-Forecasting Model Based on DSC-Chebyshev KAN-iTransformer

An Improved Single-Stage Object Detection Model and Its Application to Oil Seal Defect Detection

Grazing intensity estimation in temperate typical grasslands of Inner Mongolia using machine learning models

Neural-optimization integration for AC optimal power flow: A differentiable warm-start approach

Crop sample prediction and early mapping based on historical data: Exploration of an explainable FKAN framework

Interpretable physics-informed graph neural networks for flood forecasting

Reinforcement response prediction of composite‐concrete beams with crack patterns and deep learning

UKAN-EP: enhancing U-KAN with efficient attention and pyramid aggregation for 3D multi-modal MRI brain tumor segmentation

RadioGuide-DCN: A Radiomics-Guided Decorrelated Network for Medical Image Classification

A QEFA-optimized LSTM-KAN hybrid model for dissolved oxygen prediction and control in aquaculture

Accurately Models the Relationship Between Physical Response and Structure Using Kolmogorov–Arnold Network

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