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20212024
most citedEnergy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs

50 citations · 58 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

ChartFormer: A Large Vision Language Model for Converting Chart Images into Tactile Accessible SVGs

Omar Moured, Sara Alzalabny, Anas Osman +3

Visualizations, such as charts, are crucial for interpreting complex data. However, they are often provided as raster images, which are not compatible with assistive technologies f…

eess.SP2022★ 4 cited

Calculate the Optimum Threshold for Double Energy Detection Technique in Cognitive Radio Networks (CRNs)

Morteza Alijani, Anas Osman

One of the most important technical challenges when designing a Cognitive Radio Networks (CRNs) is spectrum sensing, which has the responsibility of recognizing the presence or abs…

cs.NI2022★ 4 cited

Energy-Efficient Techniques for UAVs in Communication-based Applications

Anas Osman, Morteza Alijani

Unmanned Aerial Vehicles (UAVs), which are at the forefront of cutting-edge technology, have unmatched potential for pioneering applications in a wide range of disciplines. In part…

cs.LG2021

TinyML Platforms Benchmarking

Anas Osman, Usman Abid, Luca Gemma +2

Recent advances in state-of-the-art ultra-low power embedded devices for machine learning (ML) have permitted a new class of products whose key features enable ML capabilities on m…

cs.LG2021★ 50 cited

Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs

Wamiq Raza, Anas Osman, Francesco Ferrini +1

In recent years, the proliferation of unmanned aerial vehicles (UAVs) has increased dramatically. UAVs can accomplish complex or dangerous tasks in a reliable and cost-effective wa…