Citing Articles For: Kolmogorov-Arnold Networks Meet Science

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Articles Citing

Kolmogorov-Arnold Networks Meet Science

MDGCN: multi-scale dynamic aggregation and gated cooperative decoding for arbitrary-scale image super-resolution

Dual-learning framework: Integrating deep and reinforcement learning for optimizing bio-inspired Helmholtz-porous acoustic metamaterials for railway noise mitigation

PULSE-KAN: Price-Aware Unified Linear-Attention and Smoothed-Trend Encoder with Kolmogorov–Arnold Network Head for Stock Movement Prediction

Efficient Calibration for Option Pricing via a Physics-Informed Chebyshev Kolmogorov–Arnold Network

Forecasting Residential Demand Response Potential Using Thermal-Response-Derived Targets and a Mixture of KAN Experts

Deep Learning-Based Porosity Prediction of Concrete Under Freeze–Heaving Conditions Using Strain Fields

Stable and Efficient Gaussian-Based Kolmogorov–Arnold Networks

DADD-PINN: Dual Adaptive Domain Decomposition Physics-Informed Neural Networks

UncerKAN-Mamba: A Clinically Robust, Transparent, and Explainable AI Framework for Low-Latency Skin Lesion Segmentation with Deterministic Single-Pass Uncertainty Estimation

Artificial Intelligence Techniques for Thyroid Cancer Classification: A Systematic Review

Explainable Kolmogorov–Arnold Networks for Zero-Shot Human Activity Recognition on TinyML Edge Devices

Language Models Are Polyglots: Language Similarity Predicts Cross-Lingual Transfer Learning Performance

An adaptive spectral physics-enabled network for Ginzburg-Landau dynamics

LLMs as designers of physics-constrained neural networks for constitutive modeling: a demonstration on hyperelastic solids

Physics-informed machine learning across manufacturing processes: Recent advances, challenges, and directions

Parameterized analytical solution of seepage equation for reservoir simulation using physics-informed kolmogorov-arnold network without labels

Predicting the printability of cementitious composites in 3D printing: Relevance between rheological protocols and structural deformation

Gated Residual Chebyshev KAN for Lightweight IoT DDoS Detection

CryptoKANs+: KAN-Inspired Self-Learning Polynomial Networks for Efficient Privacy-Preserving Machine Learning

Connecting the Dots: A Systematic Literature Review of Explainable AI, Cybersecurity, Human-Centered Design and Edge Computing

Hybrid Graph Mamba Framework for Histopathological Image Classification

Boosting Crystalline Property Prediction through Dynamical Feature Updating and Wavelet-Denoised Features: A New Deep Learning Model

A Hybrid Vision Transformer Model for Leukemia Image Classification

A Neural Time-Series Learning Method for Accelerating Free-Energy Perturbation and Rare-Event Molecular Dynamics Simulations

A method to benchmark high-dimensional process drift detection

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