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Ali Rizwan

2 papers hereh-index 11391 citations18 works total

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

author position
  • middle author2

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

fields
  • cs.SD2

identity via Semantic Scholar / OpenAlex

most citedAn AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.SD2024★ 1 cited

An AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19

Tabish Saeed, Aneeqa Ijaz, Ismail Sadiq +3

Cough-based diagnosis for Respiratory Diseases (RDs) using Artificial Intelligence (AI) has attracted considerable attention, yet many existing studies overlook confounding variabl…

cs.SD2023

Towards using Cough for Respiratory Disease Diagnosis by leveraging Artificial Intelligence: A Survey

Aneeqa Ijaz, Muhammad Nabeel, Usama Masood +5

Cough acoustics contain multitudes of vital information about pathomorphological alterations in the respiratory system. Reliable and accurate detection of cough events by investiga…

eess.SY2023

Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework

Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas +8

The future of cellular networks is contingent on artificial intelligence (AI) based automation, particularly for radio access network (RAN) operation, optimization, and troubleshoo…

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