6 papers
Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks
Khaoula Khaled, Muhammad Afaq, Ali Arshad Nasir +1
Unmanned aerial vehicle (UAV) can provide on-demand, high-capacity connectivity in disaster and normal situation. However, it faces a challenge of curse of dimensionality in trajec…
Depth-Aware Image and Video Orientation Estimation
Muhammad Z. Alam, Larry Stetsiuk, M. Umair Mukati +1
This paper introduces a novel approach for image and video orientation estimation by leveraging depth distribution in natural images. The proposed method estimates the orientation…
Quantum-Driven State-Reduction for Reliable UAV Trajectory Optimization in Low-Altitude Networks
Zeeshan Kaleem, Muhammad Afaq, Chau Yuen +2
This letter introduces a Graph-Condensed Quantum-Inspired Placement (GC-QAP) framework for reliability-driven trajectory optimization in Uncrewed Aerial Vehicle (UAV) assisted low-…
Reward-Augmented Reinforcement Learning for Continuous Control in Precision Autonomous Parking via Policy Optimization Methods
Ahmad Suleman, Misha Urooj Khan, Zeeshan Kaleem +4
Autonomous parking (AP) represents a critical yet complex subset of intelligent vehicle automation, characterized by tight spatial constraints, frequent close-range obstacle intera…
Quantum Skyshield: Quantum Key Distribution and Post-Quantum Authentication for Low-Altitude Wireless Networks in Adverse Skies
Zeeshan Kaleem, Misha Urooj Khan, Ahmad Suleman +3
Recently, low-altitude wireless networks (LAWNs) have emerged as a critical backbone for supporting the low-altitude economy, particularly with the densification of unmanned aerial…
SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
Ahmad Suleman, Yazeed Alkhrijah, Misha Urooj Khan +5
Understanding how auditory stimuli influence emotional and physiological states is fundamental to advancing affective computing and mental health technologies. In this paper, we pr…