An explainable and efficient deep learning framework for video anomaly detection

C Wu, S Shao, C Tunc, P Satam, S Hariri - Cluster computing, 2022 - Springer
Deep learning-based video anomaly detection methods have drawn significant attention in
the past few years due to their superior performance. However, almost all the leading …

Detecting network cyber-attacks using an integrated statistical approach

B Bouyeddou, F Harrou, B Kadri, Y Sun - Cluster Computing, 2021 - Springer
Anomaly detection in the Internet of Things (IoT) is imperative to improve its reliability and
safety. Detecting denial of service (DOS) and distributed DOS (DDOS) is one of the critical …

Video anomaly detection using pre-trained deep convolutional neural nets and context mining

C Wu, S Shao, C Tunc, S Hariri - 2020 IEEE/ACS 17th …, 2020 - ieeexplore.ieee.org
Anomaly detection is critically important for intelligent surveillance systems to detect in a
timely manner any malicious activities. Many video anomaly detection approaches using …

Selecting post-processing schemes for accurate detection of small objects in low-resolution wide-area aerial imagery

X Gao, S Ram, RC Philip, JJ Rodríguez, J Szep… - Remote Sensing, 2022 - mdpi.com
In low-resolution wide-area aerial imagery, object detection algorithms are categorized as
feature extraction and machine learning approaches, where the former often requires a post …

Spatio-temporal processing for automatic vehicle detection in wide-area aerial video

X Gao, J Szep, P Satam, S Hariri, S Ram… - IEEE …, 2020 - ieeexplore.ieee.org
Vehicle detection in aerial videos often requires post-processing to eliminate false
detections. This paper presents a spatio-temporal processing scheme to improve automatic …

Exploiting bilinear interpolation and predictive particle swarm optimisation for tilt correction of vehicle license plate images

X Gao, S Ram, JJ Rodríguez - International Journal of …, 2023 - inderscienceonline.com
Images of tilted vehicle license plates reduce the accuracy of automatic license plate
detection and recognition systems. In this paper, we present the analysis for how to calibrate …

Intelligent Federated Cyber-Physical Systems Experimental Testbeds: Design, Analysis, and Evaluation

C Wu - 2022 - search.proquest.com
The advancement of computer information technology, Internet services, and Internet of
Things (IoT) have made their deployments touch all aspects of our life. In fact, almost all …

A Framework of Detection, Counting, Classification, and Advanced Processing Techniques for Objects in Multi-Resolution Imagery

X Gao - 2021 - search.proquest.com
Detecting, counting, and classifying objects represent the most primary and challenging
tasks in the field of computer vision. In the signal, image, and video processing domain, it is …

[PDF][PDF] Avances en la medición de la demanda en el transporte público con inteligencia artificial

MCRC Masse, A Ochoa-Zezzatti, V Torres - econferencias.uacj.mx
El transporte público es un medio de transporte masivo que trae beneficios a la sociedad y
al mismo tiempo presenta retos logísticos y administrativos. Existen dos retos importantes y …

Vision acuity index. A novel metric to select the best fit computer vision algorithm for smart cities and Industry 4.0

R Contreras-Masse, CA Ochoa-Zezzatti… - 2020 - preprints.org
Computer vision is considered as an ally to solve business problems that require human
intervention, intelligence and criteria. This topic of research has evolved in XXI century at …