Outputs (2)

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.