Anomaly detection for Aviation Cyber-Physical System: Opportunities and Challenges
Anomaly detection in Aviation CPS is critical to ensuring safety and reliability. This
systematic literature review explores the landscape of machine learning techniques used for …
systematic literature review explores the landscape of machine learning techniques used for …
Next-generation optical sensing technologies for exploring ocean worlds—NASA FluidCam, MiDAR, and NeMO-Net
V Chirayath, A Li - Frontiers in Marine Science, 2019 - frontiersin.org
We highlight three emerging NASA optical technologies that enhance our ability to remotely
sense, analyze, and explore ocean worlds–FluidCam and fluid lensing, MiDAR, and NeMO …
sense, analyze, and explore ocean worlds–FluidCam and fluid lensing, MiDAR, and NeMO …
[PDF][PDF] Обзор методов обнаружения аномалий в потоках данных
ВП Шкодырев, КИ Ягафаров… - Proc. of the Second …, 2017 - ceur-ws.org
В работе приведен обзор существующих методов и алгоритмов обнаружения
аномалий с целью структуризации имеющихся данных и последующего отбора …
аномалий с целью структуризации имеющихся данных и последующего отбора …
Deep active learning for anomaly detection
Anomalies are intuitively easy for human experts to understand, but they are hard to define
mathematically. Therefore, in order to have performance guarantees in unsupervised …
mathematically. Therefore, in order to have performance guarantees in unsupervised …
Robust and Explainable Semi-Supervised Deep Learning Model for Anomaly Detection in Aviation
Identifying safety anomalies and vulnerabilities in the aviation domain is a very expensive
and time-consuming task. Currently, it is accomplished via manual forensic reviews by …
and time-consuming task. Currently, it is accomplished via manual forensic reviews by …
Novel framework for anomaly detection using machine learning technique on CIC-IDS2017 dataset
There are various deep learning-based IDS techniques are implemented in large scale.
Intrusion detection systems are critical components for protecting ICT infrastructure (IDSs) …
Intrusion detection systems are critical components for protecting ICT infrastructure (IDSs) …
Performance optimization of autoencoder neural network based model for anomaly detection in network traffic
R Singh - 2022 2nd International Conference on Advance …, 2022 - ieeexplore.ieee.org
Network anomaly detection it is a major concern and challenging area nowadays although it
provides effective and efficient mechanism from different types of attack. To enhance the …
provides effective and efficient mechanism from different types of attack. To enhance the …
[PDF][PDF] Network anomaly detection for NSL-KDD dataset using deep learning
Deep learning based intrusion detection cyber security methods gained increased
popularity. The essential element to provide protection to the ICT infrastructure is the …
popularity. The essential element to provide protection to the ICT infrastructure is the …
Semi-supervised active learning for anomaly detection in aviation
Anomaly detection in commercial aviation is an extremely challenging yet crucial task.
Accurately detecting operationally significant anomalies can save civilian lives and/or result …
Accurately detecting operationally significant anomalies can save civilian lives and/or result …
A future In-time Aviation Safety Management System (IASMS) perspective for commercial air carriers
View Video Presentation: https://doi. org/10.2514/6.2022-3220. vid Today's commercial air
carriers ensure safety through use of Safety Management Systems (SMS) although …
carriers ensure safety through use of Safety Management Systems (SMS) although …