Citing Articles For: Kolmogorov-Arnold Networks Meet Science

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Articles Citing

Kolmogorov-Arnold Networks Meet Science

Quantum-driven neural network with masked self-attention for multi-modal driving fatigue detection

Development of optimized XGBoost model for accurate prediction of concrete-filled steel tubular column bearing capacity

A SOC and SOH Estimation Method for Energy Storage Batteries Based on the Fusion of a Reference Difference Model and Kolmogorov‐Arnold Networks

Day-ahead net load forecasting in ZEBs: A comparative ML study with novel feature engineering and simulation-based evaluation

Data-Driven Inverse Design of Turbine Blade Passages

Dual-Modal Mixture-of-KAN Network for Lithium-Ion Battery State-of-Health Estimation Using Early Charging Data

A Review of AI Applications in Lithium-Ion Batteries: From State-of-Health Estimations to Prognostics

Joint Modeling and KAFusion Feature Fusion for Prosody-Controllable Speech Synthesis

DCN-KUnet: A DCNv3-Based Backbone and KAN Bottleneck for Chromosome Segmentation

TRIDENT: Efficient Small-Large Model Collaboration via Heterogeneous Expert Decoupling

On the Edge-Computing-Oriented Inference of Radial Basis Function-Based Kolmogorov–Arnold Networks

Short-Term Wind Power Prediction with Improved Spatio-Temporal Modeling Accuracy: A Dynamic Graph Convolutional Network Based on Spatio-Temporal Information and KAN Enhancement

DMDE: An electric peak load forecasting framework based on multi-scale decomposition and cross-scale feature fusion

Beetroot type classification based on 3D structure constructed with neural radiance fields

Hybrid Spatio-Temporal Deep Learning Models for Multi-Task Forecasting in Renewable Energy Systems

Deep Reinforcement Learning in the Era of Foundation Models: A Survey

Comparing Emerging and Hybrid Quantum–Kolmogorov Architectures for Image Classification

Training deep physics-informed Kolmogorov–Arnold networks

An explainable artificial intelligence framework enabled by a separable neural architecture

Solving backward heat transfer by physics-informed machine learning

Modern machine learning in thin film device development

Hybrid modeling with attribution-guided symbolic enhancements of known physics: Applications to complex biological and engineering systems

MambaKAN: An Interpretable Framework for Alzheimer’s Disease Diagnosis via Selective State Space Modeling of Dynamic Functional Connectivity

Biomimetic Dual-Strategy Adaptive Differential Evolution for Joint Kinematic-Residual Calibration with a Neuro-Physical Hybrid Jacobian

Aerodynamic Optimization of Relay Nozzle Using a Chebyshev KAN Surrogate Model Integration and an Improved Multi-Objective Red-Billed Blue Magpie Optimizer

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