paper-with-me

홈 › Papers

Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents

2020-05-28 · Satoshi Hashimoto, Yonghoon Ji, Kenichi Kudo, Takayuki Takahashi, Kazunori Umeda

This paper proposes an anomaly detection method for the prevention of industrial accidents using machine learning technology.

📄 PDF Abstract BibTeX arXiv:2005.13734

Code (0)

등록된 구현이 없습니다.

Tasks

Anomaly DetectionBIG-bench Machine Learning

Similar Papers 제목 키워드 기반

RECKONition: a NLP-based system for Industrial Accidents at Work Prevention

2021-04-29 · Patrizia Agnello, Silvia M. Ansaldi, Emilia Lenzi, Alessio Mongelluzzo 외

Extracting patterns and useful information from Natural Language datasets is a challenging task, especially when dealing with data written in a language different from English, like Italian. Machine and Deep Learning, to…

ClusteringNatural Language Understanding

Application of Machine Learning to accidents detection at directional drilling

2019-06-06 · Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev, Evgenya Romanenkova 외

We present a data-driven algorithm and mathematical model for anomaly alarming at directional drilling. The algorithm is based on machine learning. It compares the real-time drilling telemetry with one corresponding to p…

BIG-bench Machine LearningGeneral ClassificationTime SeriesTime Series Analysis

Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving

2024-06-10 · Daniel Bogdoll, Jan Imhof, Tim Joseph, Svetlana Pavlitska 외

In autonomous driving, the most challenging scenarios can only be detected within their temporal context. Most video anomaly detection approaches focus either on surveillance or traffic accidents, which are only a subfie…

Anomaly DetectionAutonomous DrivingVideo Anomaly Detection

A task of anomaly detection for a smart satellite Internet of things system

2024-03-21 · Zilong Shao

When the equipment is working, real-time collection of environmental sensor data for anomaly detection is one of the key links to prevent industrial process accidents and network attacks and ensure system security. Howev…

Anomaly DetectionGenerative Adversarial Network

MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection

2026-05-11 · Xiran Zhao, Jing Jin, Yan Bai, Zhongan Wang 외 arxiv

Industrial anomaly detection is critical for manufacturing quality control, yet existing datasets mainly focus on static images or sparse views, which do not fully reflect continuous inspection processes in real industri…

Anomaly Detection