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All Outputs (43)

Unlocking Trust: Advancing Activity Recognition in Video Imagery (2024)
Journal Article
Yousuf, M. J., Lee, B., Asghar, M. N., Ansari, M. S., & Kanwal, N. (2024). Unlocking Trust: Advancing Activity Recognition in Video Imagery. IEEE Access, 12, https://doi.org/10.1109/access.2024.3503284

Anonymous activity recognition is pivotal in addressing privacy concerns amidst the widespread use of facial recognition technologies (FRTs). While FRTs enhance security and efficiency, they raise significant privacy issues. Anonymous activity recogn... Read More about Unlocking Trust: Advancing Activity Recognition in Video Imagery.

Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation (2024)
Book Chapter
Andleeb, I., Hussain, B. Z., Ansari, S., Ansari, M. S., Kanwal, N., & Aslam, A. (2024). Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation. In Advances in Computational Intelligence Systems (491-503). Springer Nature [academic journals on nature.com]. https://doi.org/10.1007/978-3-031-47508-5_38

This paper presents two lightweight deep learning models for efficient detection and segmentation of brain tumors from MRI scans. A custom-made Convolutional Neural Network (CNN) is designed for identification of four different classes of brain tumor... Read More about Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation.

FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications (2023)
Journal Article
Shees, A., Ansari, M. S., Varshney, A., Asghar, M. N., & Kanwal, N. (2023). FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications. Procedia Computer Science, 218, 2233-2242. https://doi.org/10.1016/j.procs.2023.01.199

Fire hazards cause huge ecological, social and economical losses in day to day life. Due to the rapid increase in the prevalence of fire accidents, it has become vital to equip the assets with fire prevention systems. There have been numerous researc... Read More about FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications.

VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data (2023)
Presentation / Conference Contribution
Tahir, M., Qiao, Y., Kanwal, N., Lee, B., & Asghar, M. N. (2023, December). VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data. Presented at 2023 International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA

The surge in surveillance camera deployment in the era of Big Data and the Internet of Things (IoT) has emphasized the paramount importance of safeguarding the privacy of individuals, objects, and locations they record. Therefore, this paper proposes... Read More about VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data.

Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities (2023)
Journal Article
Tahir, M., Qiao, Y., Kanwal, N., Lee, B., & Asghar, M. N. (2023). Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities. Cryptography, 7(1), Article ARTN 7. https://doi.org/10.3390/cryptography7010007

The purpose of smart surveillance systems for automatic detection of road traffic accidents is to quickly respond to minimize human and financial losses in smart cities. However, along with the self-evident benefits of surveillance applications, priv... Read More about Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities.

AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS (2022)
Journal Article
Aribilola, I., Asghar, M., Kanwal, N., Ansari, M., & Lee, B. (2022). AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS. https://doi.org/10.1109/issc55427.2022.9826141

The surveillance videos taken from dynamic cam-eras are susceptible to multiple security threats like replay attacks, man-in-the-middle attacks, pixel correlation attacks etc. Using unsupervised learning, it is a challenge to detect objects in such s... Read More about AFOM: ADVANCED FLOW OF MOTION DETECTION ALGORITHM FOR DYNAMIC CAMERA VIDEOS.

SoK: Context and Risk Aware Access Control for Zero Trust Systems (2022)
Journal Article
Newe, T., Lee, B., Xiao, S., Ye, Y., & Kanwal, N. (2022). SoK: Context and Risk Aware Access Control for Zero Trust Systems. Security and Communication Networks, https://doi.org/10.1155/2022/7026779

Evolving computing technologies such as cloud, edge computing, and the Internet of Things (IoT) are creating a more complex, dispersed, and dynamic enterprise operational environment. New security enterprise architectures such as those based on the c... Read More about SoK: Context and Risk Aware Access Control for Zero Trust Systems.

VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming (2022)
Journal Article
Shifa, A., Abdullah, S., Kanwal, N., Fleury, M., Gillani, S., & Asghar, M. (2022). VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming. Entropy, 755 - 755. https://doi.org/10.3390/e24060755

Mobile multimedia communication requires considerable resources such as bandwidth and efficiency to support Quality-of-Service (QoS) and user Quality-of-Experience (QoE). To increase the available bandwidth, 5G network designers have incorporated Cog... Read More about VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming.

A Survey of Modern Deep Learning based Object Detection Models (2022)
Journal Article
Zaidi, S., Ansari, M., Aslam, A., Kanwal, N., Asghar, M., & Lee, B. (2022). A Survey of Modern Deep Learning based Object Detection Models. Digital Signal Processing, 1-19. https://doi.org/10.1016/j.dsp.2022.103514

Object Detection is the task of classification and
localization of objects in an image or video. It has gained
prominence in recent years due to its widespread applications.
This article surveys recent developments in deep learning based
object d... Read More about A Survey of Modern Deep Learning based Object Detection Models.

Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset (2021)
Presentation / Conference Contribution
Mohammed, Z., Asghar, M., & Kanwal, N. (2021, December). Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

Flight cancellations can be caused by many factors, including adverse weather conditions, and can result in lost money and time, etc. The COVID-19 pandemic has significantly exacerbated this situation, leading to a significant decrease in air travel.... Read More about Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset.

Deep Learning based Emotion Classification with Temporal Pupillometry Sequences (2021)
Presentation / Conference Contribution
Rafique, S., Kanwal, N., Samar Ansari, M., Asghar, M., & Akhtar, Z. (2021, December). Deep Learning based Emotion Classification with Temporal Pupillometry Sequences. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

In the recent era, automatic systems are the necessity of science. Systems for recognizing human emotions have gained popularity in various areas of knowledge specifically psychologists and psycho-physiologists. The interaction of the human-computer... Read More about Deep Learning based Emotion Classification with Temporal Pupillometry Sequences.