1 citations · 2 across the 5 of their papers we have counts for
6 papers
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…
GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark
Misha Urooj Khan, Maham Misbah, Zeeshan Kaleem +2
The usage of drones has tremendously increased in different sectors spanning from military to industrial applications. Despite all the benefits they offer, their misuse can lead to…
TF-Net: Deep Learning Empowered Tiny Feature Network for Night-time UAV Detection
Maham Misbah, Misha Urooj Khan, Zhaohui Yang +1
Technological advancements have normalized the usage of unmanned aerial vehicles (UAVs) in every sector, spanning from military to commercial but they also pose serious security co…
SafeSpace MFNet: Precise and Efficient MultiFeature Drone Detection Network
Misha Urooj Khan, Mahnoor Dil, Muhammad Zeshan Alam +4
The increasing prevalence of unmanned aerial vehicles (UAVs), commonly known as drones, has generated a demand for reliable detection systems. The inappropriate use of drones prese…