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
The proposed Forecast-SAC framework demonstrates that unified predictive-control learning enables safe and efficient UAV-BS navigation under dynamic uncertainty, achieving a strong safety–throughput balance that reactive methods cannot match in high-risk environments.
Tariq, Zhuo-Xiu Wei, K. Shaukat et al.· Scientific Reports· 0 citations
Existing EEG-based methods have been constrained by limited availability of labeled data, hand-crafted features, poor spatio-temporal modeling, sub-optimal cross-hardware performance, and lack of interpretability due to being expensive and intrusive. To address these limitations, this study introduces innovative neural...
Syeda Shamaila Zareen, Nada Alzaben, Usman Ahmad et al.· Frontiers in Neuroinformatic...· 0 citations
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