Cover Image

Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Xiancheng, Wang, Lin, Wang, Rui, Zhang, Zhibo, Zhao, Minghang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BoundAD: Boundary-Aware Negative Generation for Time Series Anomaly Detection
by: Wang, Xiancheng, et al.
Published: (2026)

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
by: Zeng, Chen, et al.
Published: (2025)

An Unsupervised Approach for Periodic Source Detection in Time Series
by: Demirel, Berken Utku, et al.
Published: (2024)

MedMamba: Recasting Mamba for Medical Time Series Classification
by: He, ZhengXiao, et al.
Published: (2026)

Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network
by: Yang, Pu, et al.
Published: (2025)

Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
by: Sadough, Amirhossein, et al.
Published: (2025)

Pattern-Based Time-Series Risk Scoring for Anomaly Detection and Alert Filtering -- A Predictive Maintenance Case Study
by: Liebman, Elad
Published: (2024)

GenTS: A Comprehensive Benchmark Library for Generative Time Series Models
by: Wang, Chenxi, et al.
Published: (2026)

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN
by: Wang, Lin, et al.
Published: (2025)

Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
by: Wang, Xinyi, et al.
Published: (2024)

MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution
by: Lin, Jie, et al.
Published: (2024)

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG
by: Zhang, Huaicheng, et al.
Published: (2025)

A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets
by: Elhalwagy, Ayman, et al.
Published: (2023)

A Network Science Approach to Granular Time Series Segmentation
by: Kesić, Ivana, et al.
Published: (2025)

Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification
by: Jeong, Sam, et al.
Published: (2025)

Phase-driven Domain Generalizable Learning for Nonstationary Time Series
by: Mohapatra, Payal, et al.
Published: (2024)

Unfolding Target Detection with State Space Model
by: Yu, Luca Jiang-Tao, et al.
Published: (2024)

A Novel Combined Data-Driven Approach for Electricity Theft Detection
by: Zheng, Kedi, et al.
Published: (2024)

Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model
by: Li, Yangmeng, et al.
Published: (2026)

A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network
by: Ye, Miao, et al.
Published: (2025)

Steam Turbine Anomaly Detection: An Unsupervised Learning Approach Using Enhanced Long Short-Term Memory Variational Autoencoder
by: Xu, Weiming, et al.
Published: (2024)

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering
by: Schneider, Dominic, et al.
Published: (2024)

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection
by: Koeshidayatullah, Ardiansyah, et al.
Published: (2024)

MambaNet: Mamba-assisted Channel Estimation Neural Network With Attention Mechanism
by: Luan, Dianxin, et al.
Published: (2026)

Robust Photoplethysmography Signal Denoising via Mamba Networks
by: Chiu, I, et al.
Published: (2025)

TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network
by: Bui, Nhat-Tan, et al.
Published: (2023)

Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior
by: Dong, Hanyang, et al.
Published: (2025)

iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets
by: Liu, Mengxi, et al.
Published: (2024)

Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignment
by: Wang, Z., et al.
Published: (2024)

Time Weaver: A Conditional Time Series Generation Model
by: Narasimhan, Sai Shankar, et al.
Published: (2024)

mtslearn: Machine Learning in Python for Medical Time Series
by: Jiang, Zhongheng, et al.
Published: (2026)

MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network
by: Liu, Yu-Tung, et al.
Published: (2024)

Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector
by: Yuan, Yachao, et al.
Published: (2024)

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series
by: Petralia, Adrien, et al.
Published: (2025)

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
by: Burchert, Johannes, et al.
Published: (2024)

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
by: Wang, Yihe, et al.
Published: (2024)

EB-GAME: A Game-Changer in ECG Heartbeat Anomaly Detection
by: Park, JuneYoung, et al.
Published: (2024)

Quantizing Small-Scale State-Space Models for Edge AI
by: Zhao, Leo, et al.
Published: (2025)

Unsupervised Anomaly Detection and Localization with Generative Adversarial Networks
by: Abdelli, Khouloud, et al.
Published: (2024)