Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation

por Seungdong Yoa, Seungjun Lee, Chiyoon Kim, Hyunwoo J Kim
Publicado 2021

Algorithm optimization and anomaly detection simulation based on extended Jarvis-Patrick clustering and outlier detection

por Wei Wang, Xiaohui Hu, Yao Du
Publicado 2022

MADS Based on DL Techniques on the Internet of Things (IoT): Survey

por Hussah Talal, Rachid Zagrouba
Publicado 2021

Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection

por Kamil Faber, Marcin Pietron, Dominik Zurek
Publicado 2021

Deep learning-based anomaly-onset aware remaining useful life estimation of bearings

por Pooja Vinayak Kamat, Rekha Sugandhi, Satish Kumar
Publicado 2021

Evaluating the efficacy of singular spectrum transformation in detecting working posture changes in a time series

por Kazuki HIRANAI, Akisue KURAMOTO, Akihiko SEO
Publicado 2019

Machine Learning in Network Anomaly Detection: A Survey

por Song Wang, Juan Fernando Balarezo, Sithamparanathan Kandeepan, Akram Al-Hourani, Karina Gomez Chavez, Benjamin Rubinstein
Publicado 2021

Automated Multidimensional Analysis of Global Events With Entity Detection, Sentiment Analysis and Anomaly Detection

por Fahim K. Sufi, Musleh Alsulami
Publicado 2021

Detect Adversarial Attacks Against Deep Neural Networks With GPU Monitoring

por Tommaso Zoppi, Andrea Ceccarelli
Publicado 2021

Evaluation of time-varying working posture based on interjoint coordination features extracted from sparse structure learning

por Kazuki HIRANAI, Akihiko SEO
Publicado 2021

Standing, Walking, and Sitting Support Robot Based on User State Estimation Using a Small Number of Sensors

por Mizuki Takeda, Kaiji Sato, Yasuhisa Hirata, Takahiro Katayama, Yasuhide Mizuta, Atsushi Koujina
Publicado 2021

A New MSGSA-Optimized Dynamic Window of Spatiotemporal Scan Statistics for Disease Outbreak Detection

por Haiqi Wang, Haoran Kong, Bin Yan, Liuke Li, Jianbo Xu, Zhihai Wang, Qiong Wang
Publicado 2021

Synthetic image dataset of shaft junctions inside wind turbines in presence or absence of oil leaks

por Matteo Cardoni, Danilo Pau, Laura Falaschetti, Claudio Turchetti, Marco Lattuada
Publicado 2021

Feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study

por N. S. V. Lund, J. K. Kirstein, H. Madsen, O. Mark, P. S. Mikkelsen, M. Borup
Publicado 2021

Adaptive Refinement in Advection–Diffusion Problems by Anomaly Detection: A Numerical Study

por Antonella Falini, Maria Lucia Sampoli
Publicado 2021

A Combined Anomaly and Trend Detection System for Industrial Robot Gear Condition Monitoring

por Corbinian Nentwich, Gunther Reinhart
Publicado 2021

Event-Driven Dashboarding and Feedback for Improved Event Detection in Predictive Maintenance Applications

por Pieter Moens, Sander Vanden Hautte, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Steven Vandekerckhove, Femke Ongenae, Sofie Van Hoecke
Publicado 2021

Unsupervised Anomaly Approach to Pedestrian Age Classification from Surveillance Cameras Using an Adversarial Model with Skip-Connections

por Husnu Baris Baydargil, Jangsik Park, Ibrahim Furkan Ince
Publicado 2021

Spatio-Temporal Deep Learning-Based Methods for Defect Detection: An Industrial Application Study Case

por Lucas A. da Silva, Eulanda M. dos Santos, Leo Araújo, Natalia S. Freire, Max Vasconcelos, Rafael Giusti, David Ferreira, Anderson S. Jesus, Agemilson Pimentel, Caio F. S. Cruz, Ruan J. S. Belem, André S. Costa, Osmar A. da Silva
Publicado 2021

Anomaly Segmentation Based on Depth Image for Quality Inspection Processes in Tire Manufacturing

por Dongbeom Ko, Sungjoo Kang, Hyunsuk Kim, Wongok Lee, Yousuk Bae, Jeongmin Park
Publicado 2021