Cover Image

Lightweight CNN-Based Anomaly Detection for High Voltage Converter Modulators in the Spallation Neutron Source

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cencillo, Alberto D., Concepción, Leonardo, Luengo, Julián, Triguero, Isaac
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection
by: Cencillo, Alberto D., et al.
Published: (2026)

CNN+Transformer Based Anomaly Traffic Detection in UAV Networks for Emergency Rescue
by: Han, Yulu, et al.
Published: (2025)

Lightweight CNN-Based DDoS Detection for Resource-Constrained Edge Networks
by: Ramanathan, Vedanth, et al.
Published: (2023)

Enhancing ECG Classification Robustness with Lightweight Unsupervised Anomaly Detection Filters
by: Ibrahim, Mustafa Fuad Rifet, et al.
Published: (2025)

Active Rule Mining for Multivariate Anomaly Detection in Radio Access Networks
by: Isaac, Ebenezer R. H. P., et al.
Published: (2025)

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification
by: Goerttler, Stephan, et al.
Published: (2025)

LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models
by: Ipas, Oroel, et al.
Published: (2026)

PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2024)

Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals
by: Oelhaf, Julian, et al.
Published: (2025)

L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout
by: Song, Heda, et al.
Published: (2019)

STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability
by: Sevillano-García, Iván, et al.
Published: (2025)

Building Efficient Lightweight CNN Models
by: Isong, Nathan
Published: (2025)

Semantic-Inductive Attribute Selection for Zero-Shot Learning
by: Herrera-Aranda, Juan Jose, et al.
Published: (2025)

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
by: Triguero, Isaac, et al.
Published: (2023)

Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT
by: Khatun, Mirza Akhi, et al.
Published: (2024)

A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems
by: Jung, Minseop, et al.
Published: (2023)

Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection
by: Lee, Ming-Chang, et al.
Published: (2024)

Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data
by: Fukushima, Kenji, et al.
Published: (2025)

A Maritime Industry Experience for Vessel Operational Anomaly Detection: Utilizing Deep Learning Augmented with Lightweight Interpretable Models
by: Moghadam, Mahshid Helali, et al.
Published: (2023)

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting
by: Kim, Myung Jin, et al.
Published: (2025)

Support Vector Based Anomaly Detection in Federated Learning
by: Frasson, Massimo, et al.
Published: (2024)

Anomaly Detection Based on Isolation Mechanisms: A Survey
by: Cao, Yang, et al.
Published: (2024)

Physic-HM: Restoring Physical Generative Logic in Multimodal Anomaly Detection via Hierarchical Modulation
by: Liu, Xiao, et al.
Published: (2025)

Trajectory Guard -- A Lightweight, Sequence-Aware Model for Real-Time Anomaly Detection in Agentic AI
by: Advani, Laksh
Published: (2026)

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection
by: Nakagama, Yutaro, et al.
Published: (2025)

Constraining Anomaly Detection with Anomaly-Free Regions
by: Toller, Maximilian, et al.
Published: (2024)

Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
by: Peng, Yifeng, et al.
Published: (2024)

Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD
by: Yeh, Chin-Chia Michael
Published: (2026)

Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
by: Aguilera-Martos, Ignacio, et al.
Published: (2024)

A Lightweight CNN-Attention-BiLSTM Architecture for Multi-Class Arrhythmia Classification on Standard and Wearable ECGs
by: Thota, Vamsikrishna, et al.
Published: (2025)

CEEMDAN-Based Multiscale CNN for Wind Turbine Gearbox Fault Detection
by: Alagha, Nejad, et al.
Published: (2026)

Generalist Graph Anomaly Detection via Prototype-Based Distillation
by: Xu, Yiming, et al.
Published: (2026)

Kernel-Based Anomaly Detection Using Generalized Hyperbolic Processes
by: Bourigault, Pauline, et al.
Published: (2025)

Higher-order Structure Based Anomaly Detection on Attributed Networks
by: Yuan, Xu, et al.
Published: (2024)

GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluation
by: Bello, Federico, et al.
Published: (2026)

A Comprehensive Forecasting-Based Framework for Time Series Anomaly Detection: Benchmarking on the Numenta Anomaly Benchmark (NAB)
by: Karami, Mohammad, et al.
Published: (2025)

The Geometry of Harmful Intent: Training-Free Anomaly Detection via Angular Deviation in LLM Residual Streams
by: Llorente-Saguer, Isaac
Published: (2026)

Topological Data Analysis for Unsupervised Anomaly Detection and Customer Segmentation on Banking Data
by: Barberi, Leonardo Aldo Alejandro, et al.
Published: (2025)

Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
by: Goina, Dacian, et al.
Published: (2024)

Accuracy-Constrained CNN Pruning for Efficient and Reliable EEG-Based Seizure Detection
by: K, Mounvik, et al.
Published: (2025)