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Nadia Kanwal's Outputs (6)

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)
Conference Proceeding
Tahir, M., Qiao, Y., Kanwal, N., Lee, B., & Asghar, M. N. (2023). VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data. . https://doi.org/10.1109/icmla58977.2023.00329

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.