3 papers
cs.DC2026
Multi-Objective Load Balancing for Heterogeneous Edge-Based Object Detection Systems
Daghash K. Alqahtani, Maria A. Rodriguez, Muhammad Aamir Cheema +1
The rapid proliferation of the Internet of Things (IoT) and smart applications has led to a surge in data generated by distributed sensing devices. Edge computing is a mainstream a…
cs.DC2025
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
Daghash K. Alqahtani, Maria A. Rodriguez, Muhammad Aamir Cheema +2
Edge computing enables data processing closer to the source, significantly reducing latency, an essential requirement for real-time vision-based analytics such as object detection…
cs.CV2024
A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices
Daghash K. Alqahtani, Muhammad Aamir Cheema, Maria A. Rodriguez +1
Modern applications such as autonomous vehicles, intelligent surveillance, and smart city systems increasingly require object detection on resource-constrained edge devices. Yet, t…