1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Multi-band Networks
Muhammad Umar Bin Farooq, Marvin Manalastas, Waseem Raza +4
Densification and multi-band operation in 5G and beyond pose an unprecedented challenge for mobility management, particularly for inter-frequency handovers. The challenge is aggrav…