Author

Maryam Gulzar

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Open access Oct 2026

Consensus-driven bounding box fusion for robust weapon detection in surveillance systems

Object detection is central to public safety and surveillance, where reliable weapon identification is critical to mitigating security risks, and missed detections can have severe consequences. Existing ensemble methods using homogeneous architectures or standard fusion strategies do not adequately address occlusion, c...

Muhammad Ishtiaq, Ming-Chu Li, Talha Mahboob Alam et al. · Pattern Analysis and Applica... · 0 citations

Open access Jul 2026

A hybrid deep learning pipeline for rice disease detection using GAN-based augmentation and Otsu thresholding

This research proposes a novel pipeline for rice disease detection using a hybrid approach that integrates Generative Adversarial Networks (GANs) for data augmentation, Otsu thresholding for image preprocessing, and a deep learning model for classification.

Arshad Ali, Asad Ullah, Maryam Gulzar et al. · Discover Computing · 0 citations