Citing Articles For: Kolmogorov-Arnold Networks Meet Science

Self-adaptive Schwarz Waveform Relaxation with Learning-Augmented Physics-Informed Kolmogorov-Arnold Networks for Accelerated Simulation of Physical Fields in Heterogeneous Solids

Zheyu Dong, Yuren Yin, Qier Zhang, Siqi Yan, Daochen Yin, Jiabao Bai, Kunqing Yu, Zhi Sheng, Yi Shang, and Zheng Jia

Journal of the Mechanics and Physics of Solids 218 106862 (2027)

Crack propagation path prediction via physics-informed Kolmogorov–Arnold networks

Haoran Li, Zhenyu Zhang, and Weifeng Liu

Journal of Computational Science 102 103070 (2027)

Domain-decomposed antiderivative transformation iterative method: A deep learning approach for weakly and Cauchy types singular integral equations

Dong Liu, Zhenyu Liu, Ziliang Feng, Kangjun He, Yang Liu, Zhen Liao, Le Xu, and Jiali Yu

Journal of Computational and Applied Mathematics 493 118124 (2027)

Averaging favors MPC: How typical evaluation setups overstate MPC performance for residential battery scheduling

Janik Pinter, Maximilian Beichter, Ralf Mikut, Frederik Zahn, and Veit Hagenmeyer

Electric Power Systems Research 264 113517 (2027)

Interface-aware adaptive layer-wise physics-informed neural networks for multilayer large-strain consolidation: a benchmark of architectures, training strategies, and trade-offs

Yifan Xu, Yunpeng Zhang, Wenbing Wu, Chuanxun Li, and M. Hesham El Naggar

Computers and Geotechnics 203 108711 (2027)

Discovery of sparse invariant subgrid-scale closures via dissipation-controlled training for large eddy simulation on anisotropic grids

Samantha Friess, Aviral Prakash, and John A. Evans

Computer Methods in Applied Mechanics and Engineering 463 119360 (2027)

Multi-resolution training-enhanced Kolmogorov–Arnold networks for physics-informed learning of PDEs with multi-scale features

Yu-Sen Yang, Ling Guo, and Xiaodan Ren

Applied Mathematical Modelling 162 117344 (2027)

An improved iTransformer framework for health prediction of proton exchange membrane fuel cells

Fu-Kwun Wang, Alebachew Mengistu Worku, Jia-Hong Chou, and William Gomez

Advanced Engineering Informatics 77 105289 (2027)

KAN–LSTM: Benchmarking Kolmogorov–Arnold Networks for cyber security threat detection in IoT networks

Mohammed Alotaibi, Mohammed Hassanin, Nour Moustafa, and Ibrahim Radwan

Ad Hoc Networks 195 104427 (2027)

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Ali Bayeh, Samira Sadaoui, and Malek Mouhoub

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Geng Deng, Yaoguo Xie, Jun Huang, Han Wang, Xindong Wang, and Ken Fu

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Hao Qi, Jianwei Zhao, Ruofan Ma, Zhenghua Zhou, and Hai Wang

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Ujjwal Jain, Santosh Prakash Chouhan, Roshni Chakraborty, and Mahua Bhattacharya

Core Loss Modeling of Fe-Based Amorphous and Nanocrystalline Magnetic Materials for Developing High-Performance EV Motors and Electromagnetic Devices

Siwei Zhang, Yunfei Yu, Youguang Guo, Gang Lei, and Jianguo Zhu

World Electr. Veh. J. 17 545 (2026)

Time series foundation model chronos enhances nitrogen forecasting under data scarcity

Kaifeng Zheng, Guotao Cui, Yi Xie, Yimei Liu, and Xinzhong Du

Water Research X 30 100469 (2026)

Dynamic nonlinear networks for adaptive low-light image enhancement

Minglong Xue, Kaiwen Chen, and Senming Zhong

Vis Comput 42 196 (2026)

Enhanced medical image segmentation via dual-window state-space encoding and convolution-augmented KAN

Jinhao Chen, Chao Ma, Jinping Chen, Zhong Li, Zhaoxi Fang, Keli Hu, Guanghua He, and Hancan Zhu

Vis Comput 42 202 (2026)

Artificial Intelligence-Based Data-Driven Approach for Classifying AI-Generated Text from Human-Generated Text

Pravati Panda, Julius Irudayasamy, Rajeswari Sanikommu, Vignesh Arunachalam, Narmada devi Maruthamuthu, and Latha Jothi Venkatachalam

VFAST trans. softw. eng. 14 343 (2026)

KAN-Payne: A Controlled Evaluation of Kolmogorov–Arnold Networks for Stellar Spectral Emulation and Label Recovery

Shuo Zhang and Rui Wang

Universe 12 253 (2026)

Enhancing Single Pulse Detection: A Novel Search Model Addresses Sample Imbalance and Boosts Recognition Accuracy

Li Han, Shanping You, Shaowen Du, Xiaoyao Xie, and Linyong Zhou

Universe 12 27 (2026)

A Multi-Agent Visibility-Based Persistent Monitoring Method Using a KAN-Mix Network

Jun Luo, Xi Chen, Junye Wu, Wenbo Hui, Bowen Yang, and Yangmin Xie

Un. Sys. 14 341 (2026)

EEG-Based Emotion Dynamics Recognition Using Hybrid AI Models for Cybersecurity

Ekaterina Pleshakova, Aleksey Osipov, Alexander Yudin, and Sergey Gataullin

Technologies 14 209 (2026)

Foundation Time-Series Models for Local Forecasting in Adults with Type 1 Diabetes Using Continuous Glucose Monitoring Signals

Roberto Carlos Diaz-Velazco, Alberto Gudiño-Ochoa, Julio Alberto García-Rodríguez, Jorge Ivan Cuevas-Chávez, and Eduardo Ruiz-Velázquez

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MFE-DETR: Multimodal Feature-Enhanced Detection Transformer for RGB–Infrared Object Detection in Aerial Imagery

Zekai Yan and Mu-Jiang-Shan Wang

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An Interpretable Spatial–Nonlinear Learning Framework for Provincial Traffic Accident Analysis

Yuwei Wang, Zhihai Li, Hang Yuan, Zitong Pei, and Yi Lei

Symmetry 18 522 (2026)

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Articles Citing

Kolmogorov-Arnold Networks Meet Science

Self-adaptive Schwarz Waveform Relaxation with Learning-Augmented Physics-Informed Kolmogorov-Arnold Networks for Accelerated Simulation of Physical Fields in Heterogeneous Solids

Crack propagation path prediction via physics-informed Kolmogorov–Arnold networks

Domain-decomposed antiderivative transformation iterative method: A deep learning approach for weakly and Cauchy types singular integral equations

Averaging favors MPC: How typical evaluation setups overstate MPC performance for residential battery scheduling

Interface-aware adaptive layer-wise physics-informed neural networks for multilayer large-strain consolidation: a benchmark of architectures, training strategies, and trade-offs

Discovery of sparse invariant subgrid-scale closures via dissipation-controlled training for large eddy simulation on anisotropic grids

Multi-resolution training-enhanced Kolmogorov–Arnold networks for physics-informed learning of PDEs with multi-scale features

An improved iTransformer framework for health prediction of proton exchange membrane fuel cells

KAN–LSTM: Benchmarking Kolmogorov–Arnold Networks for cyber security threat detection in IoT networks

No title available

No title available

No title available

No title available

Core Loss Modeling of Fe-Based Amorphous and Nanocrystalline Magnetic Materials for Developing High-Performance EV Motors and Electromagnetic Devices

Time series foundation model chronos enhances nitrogen forecasting under data scarcity

Dynamic nonlinear networks for adaptive low-light image enhancement

Enhanced medical image segmentation via dual-window state-space encoding and convolution-augmented KAN

Artificial Intelligence-Based Data-Driven Approach for Classifying AI-Generated Text from Human-Generated Text

KAN-Payne: A Controlled Evaluation of Kolmogorov–Arnold Networks for Stellar Spectral Emulation and Label Recovery

Enhancing Single Pulse Detection: A Novel Search Model Addresses Sample Imbalance and Boosts Recognition Accuracy

A Multi-Agent Visibility-Based Persistent Monitoring Method Using a KAN-Mix Network

EEG-Based Emotion Dynamics Recognition Using Hybrid AI Models for Cybersecurity

Foundation Time-Series Models for Local Forecasting in Adults with Type 1 Diabetes Using Continuous Glucose Monitoring Signals

MFE-DETR: Multimodal Feature-Enhanced Detection Transformer for RGB–Infrared Object Detection in Aerial Imagery

An Interpretable Spatial–Nonlinear Learning Framework for Provincial Traffic Accident Analysis

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