1 citations · 1 across the 3 of their papers we have counts for
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…
cs.LG2023
An AI-Enabled Framework to Defend Ingenious MDT-based Attacks on the Emerging Zero Touch Cellular Networks
Aneeqa Ijaz, Waseem Raza, Hasan Farooq +2
Deep automation provided by self-organizing network (SON) features and their emerging variants such as zero touch automation solutions is a key enabler for increasingly dense wirel…