Cover Image

Online Reliable Anomaly Detection via Neuromorphic Sensing and Communications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shiraishi, Junya, Chen, Jiechen, Simeone, Osvaldo, Popovski, Petar
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning
by: Chen, Jiechen, et al.
Published: (2024)

Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
by: Chen, Jiechen, et al.
Published: (2023)

Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
by: Chen, Jiechen, et al.
Published: (2025)

Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons
by: Wu, Dengyu, et al.
Published: (2025)

Neuromorphic Wireless Split Computing with Multi-Level Spikes
by: Wu, Dengyu, et al.
Published: (2024)

Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing
by: Simeone, Osvaldo
Published: (2026)

Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)

Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
by: Ke, Yuzhen, et al.
Published: (2024)

Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection
by: Liao, Jing-Xiao, et al.
Published: (2022)

MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection
by: Zhang, Lizhao, et al.
Published: (2026)

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
by: Darban, Zahra Zamanzadeh, et al.
Published: (2023)

Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
by: Xiao, Mingqing, et al.
Published: (2024)

SGEMAS: A Self-Growing Ephemeral Multi-Agent System for Unsupervised Online Anomaly Detection via Entropic Homeostasis
by: Hamdi, Mustapha
Published: (2025)

Neuromorphic Attitude Estimation and Control
by: Stroobants, Stein, et al.
Published: (2024)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
by: Murad, Taslim, et al.
Published: (2024)

Memory-Augmented Spiking Networks: Synergistic Integration of Complementary Mechanisms for Neuromorphic Vision
by: Blessing, Effiong, et al.
Published: (2026)

TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection
by: Haq, Ijaz Ul, et al.
Published: (2023)

Unsupervised Anomaly Detection in NSL-KDD Using $β$-VAE: A Latent Space and Reconstruction Error Approach
by: Baptiste, Dylan, et al.
Published: (2026)

Recurrent Joint Embedding Predictive Architecture with Recurrent Forward Propagation Learning
by: Velarde, Osvaldo M, et al.
Published: (2024)

A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
by: Abdelrahman, Ahmed Faisal, et al.
Published: (2024)

Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
by: Lutes, Nathan, et al.
Published: (2024)

Active Sensing with Predictive Coding and Uncertainty Minimization
by: Sharafeldin, Abdelrahman, et al.
Published: (2023)

A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
by: Shiraishi, Hiroki, et al.
Published: (2025)

Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment
by: Arauzo-Azofra, Antonio, et al.
Published: (2025)

An Invariant Information Geometric Method for High-Dimensional Online Optimization
by: Zhang, Zhengfei, et al.
Published: (2024)

X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
by: Shiraishi, Hiroki, et al.
Published: (2025)

Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
by: Tang, Kaiwen, et al.
Published: (2024)

Efficient Online Learning with Predictive Coding Networks: Exploiting Temporal Correlations
by: Zadeh-Jousdani, Darius Masoum, et al.
Published: (2025)

Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
by: Katti, Prabodh, et al.
Published: (2023)

Forward Direct Feedback Alignment for Online Gradient Estimates of Spiking Neural Networks
by: Bacho, Florian, et al.
Published: (2024)

Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study
by: Moshruba, Ayana, et al.
Published: (2024)

Deep Neuromorphic Networks with Superconducting Single Flux Quanta
by: Krylov, Gleb, et al.
Published: (2023)

EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
by: Graf, Lars, et al.
Published: (2024)

Posterior Distribution-assisted Evolutionary Dynamic Optimization as an Online Calibrator for Complex Social Simulations
by: Yang, Peng, et al.
Published: (2026)

Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps
by: Vaidya, Hitesh, et al.
Published: (2024)

NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)

Prospective Messaging: Learning in Networks with Communication Delays
by: Fayyazi, Ryan, et al.
Published: (2024)

Modality-Dependent Memory Mechanisms in Cross-Modal Neuromorphic Computing
by: Blessing, Effiong, et al.
Published: (2025)

Multiscale Astrocyte Network Calcium Dynamics for Biologically Plausible Intelligence in Anomaly Detection
by: Iskar, Berk, et al.
Published: (2025)

Neuromorphic dreaming: A pathway to efficient learning in artificial agents
by: Blakowski, Ingo, et al.
Published: (2024)