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A. Garg

3 papers hereh-index 368 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.NI1
  • eess.IV1
same name
  • A. Garg — 22 papers, h 18
  • A. Garg — 14 papers, h 24
  • A. Garg — 12 papers, h 22
  • A. Garg — 6 papers, h 43
  • A. Garg — 2 papers, h 29
  • A. Garg — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedMaking Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors

18 citations · 21 across the 2 of their papers we have counts for

collaborators

3 papers

cs.NI2020★ 3 cited

Machine Learning Coupled Trajectory and Communication Design for UAV-Facilitated Wireless Networks

Aksh Garg

Augmenting wireless networks with Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, offers a promising avenue for providing reliable, cost-effective, and on-demand w…

eess.IV2020

Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT

Aksh Garg, Sana Salehi, Marianna La Rocca +2

With COVID-19 cases rising rapidly, deep learning has emerged as a promising diagnosis technique. However, identifying the most accurate models to characterize COVID-19 patients is…

cs.CY2020★ 18 cited

Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors

T. Barfoot, J. Burgner-Kahrs, E. Diller +12

From disinfection and remote triage, to logistics and delivery, countries around the world are making use of robots to address the unique challenges presented by the COVID-19 pande…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.