Asma Belhadi

Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio–Temporal Traffic Flow

2019 · IEEE Access

Outlier detection is an extensive research area, which has been intensively studied in several domains such as biological sciences, medical diagnosis, surveillance, and traffic anomaly detection. This paper explores advances in the outlier detection area …

Comparative Study on Trajectory Outlier Detection Algorithms

2019

This paper explores, reviews, and evaluates the existing outlier trajectory detection using small, large and big databases. We divide existing solutions into two main categories: similarity-based, and clustering-based approaches. The first category groups solutions employing …

Emergent Deep Learning for Anomaly Detection in Internet of Everything

2021 · IEEE Internet of Things Journal

This research presents a new generic deep learning (DL) framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect outliers in IoE …