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T. Nadeem

11 papers hereh-index 233k citations131 works total

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

author position
  • middle author2
  • last author9

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.NI4
  • cs.CL2
  • eess.SP2
  • cs.CV1
  • cs.IT1
  • cs.LG1
same name
  • T. Nadeem — 3 papers, h 8
  • T. Nadeem — 1 paper, h 1

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

activity
20192026
most citedCollaborative Intelligent Cross-Camera Video Analytics at Edge: Opportunities and Challenges

10 citations · 10 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.NI2020

Towards A Learning-Based Framework for Self-Driving Design of Networking Protocols

Hannaneh Barahouei Pasandi, Tamer Nadeem

Networking protocols are designed through long-time and hard-work human efforts. Machine Learning (ML)-based solutions have been developed for communication protocol design to avoi…

cs.NI2020

Unboxing MAC Protocol Design Optimization Using Deep Learning

Hannaneh Barahouei Pasandi, Tamer Nadeem

Evolving amendments of 802.11 standards feature a large set of physical and MAC layer control parameters to support the increasing communication objectives spanning application req…

cs.IT2020

MAC Protocol Design Optimization Using Deep Learning

Hannaneh Barahouei Pasandi, Tamer Nadeem

Deep learning (DL)-based solutions have recently been developed for communication protocol design. Such learning-based solutions can avoid manual efforts to tune individual protoco…

cs.CV2020

CONVINCE: Collaborative Cross-Camera Video Analytics at the Edge

Hannaneh Barahouei Pasandi, Tamer Nadeem

Today, video cameras are deployed in dense for monitoring physical places e.g., city, industrial, or agricultural sites. In the current systems, each camera node sends its feed to…

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