A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection

N Choudhry, J Abawajy, S Huda, I Rao - IEEE Access, 2023 - ieeexplore.ieee.org
Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …

Detecting anomalies and attacks in network traffic monitoring with classification methods and XAI-based explainability

Ł Wawrowski, M Michalak, A Białas… - Procedia Computer …, 2021 - Elsevier
Assuring the network traffic safety is a very important issue in a variety of today's industries.
Therefore, the development of anomalies and attacks detection methods has been the goal …

Enhanced CNN-LSTM deep learning for scada IDS featuring hurst parameter self-similarity

A Balla, MH Habaebi, EAA Elsheikh, MR Islam… - IEEE …, 2024 - ieeexplore.ieee.org
Supervisory Control and Data Acquisition (SCADA) systems are crucial for modern industrial
processes and securing them against increasing cyber threats is a significant challenge …

STFGCN: Spatial-temporal fusion graph convolutional network for traffic prediction

H Li, J Liu, S Han, J Zhou, T Zhang… - Expert Systems with …, 2024 - Elsevier
Accurate traffic prediction plays a crucial role in improving traffic conditions and optimizing
road utilization. Effectively capturing the multi-scale temporal dependencies and dynamic …

Traffic Anomaly Detection base on spatio-temporal hypergraph convolution neural networks

J Feng, Y Zhang, X Piao, Y Hu, B Yin - Physica A: Statistical Mechanics and …, 2024 - Elsevier
Abstract Traffic Anomaly Detection (TAD) is an important and difficult task in Intelligent
Transportation Systems (ITS). Traffic anomaly events are sparse in both spatial and temporal …

[HTML][HTML] Data-Driven Analysis of Fatal Urban Traffic Accident Characteristics and Safety Enhancement Research

X Zhang, S Qi, A Zheng, Y Luo, S Hao - Sustainability, 2023 - mdpi.com
The occurrence of fatal traffic accidents often causes serious casualties and property losses,
endangering travel safety. This work uses the statistical data of fatal road traffic accidents in …

Learning dynamics of multi-level spatiotemporal graph data for traffic flow prediction

Z Li, Y Wei, G Chen, K Lu, X Zheng - Computer Communications, 2024 - Elsevier
Accurate and timely traffic flow prediction can effectively improve road network efficiency and
alleviate a series of negative impacts caused by traffic congestion. Recent research has …

Anomaly Detection in Hospital Claims Using K-Means and Linear Regression

HK Prakosa, N Rokhman - IJCCS (Indonesian Journal of …, 2021 - journal.ugm.ac.id
BPJS Kesehatan, which has been in existence for almost a decade, is still experiencing a
deficit in the process of guaranteeing participants. One of the factors that causes this is a …

Assessing Taiwanese Traffic Policy on Consecutive Holidays through Forecast Reconciliation and Prediction-based Anomaly Detection Techniques

M Ashouri, FKH Phoa, MA Cremona - arXiv preprint arXiv:2307.09537, 2023 - arxiv.org
This study examines the Taiwanese highway traffic behavior on consecutive holidays, with
the aim of evaluating the Taiwanese freeway bureau's traffic control and management …

Prediksi harga cryptocurrency dengan metode linier regresi

H Tobing, MF Arfa, MR Al Fathan… - SENTIMAS: Seminar …, 2023 - journal.irpi.or.id
Cryptocurrency merupakan mata uang digital yang saat ini sedang naik daun. Namun,
harga cryptocurrency sangat fluktuatif dan sulit diprediksi. Oleh karena itu, dibutuhkan suatu …