The journal retracts the 07 March 2022 article cited above. Following publication, the publisher has found evidence of peer review manipulation. As the scientific integrity of the article cannot be ...
ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...
Greetings everyone, I am trying to implement anomaly detection such as fights and road accidents. So far I have a yolo11 model for object detection (people and vehicles). From the objects detected, I ...
ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...
Abstract: Video anomaly detection (VAD) is of great importance for a variety of real-time applications in video surveillance. Most deep learning-based anomaly detection algorithms adopt a one-class ...
Installations are to meet a mandate for all aircraft using South Africa’s Class A airspace ...
The ability to detect single photons (the smallest energy packets constituting electromagnetic radiation) in the infrared range has become a pressing need across numerous fields, from medical imaging ...
This project focuses on fault detection in turbofan engines using the NASA C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset, specifically the DS02 subset. The system combines ...
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