activity
20202023
most citedAI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

483 citations · 606 across the 7 of their papers we have counts for

collaborators

7 papers

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…

cs.NI2022★ 30 cited

Interpretable AI-based Large-scale 3D Pathloss Prediction Model for enabling Emerging Self-Driving Networks

Usama Masood, Hasan Farooq, Ali Imran +1

In modern wireless communication systems, radio propagation modeling to estimate pathloss has always been a fundamental task in system design and optimization. The state-of-the-art…

cs.NI2020★ 20 cited

A Machine Learning based Framework for KPI Maximization in Emerging Networks using Mobility Parameters

Joel Shodamola, Usama Masood, Marvin Manalastas +1

Current LTE network is faced with a plethora of Configuration and Optimization Parameters (COPs), both hard and soft, that are adjusted manually to manage the network and provide b…

cs.NI2020★ 8 cited

Neuromorphic AI Empowered Root Cause Analysis of Faults in Emerging Networks

Shruti Bothe, Usama Masood, Hasan Farooq +1

Mobile cellular network operators spend nearly a quarter of their revenue on network maintenance and management. A significant portion of that budget is spent on resolving faults d…

eess.AS2020★ 65 cited

Can Machine Learning Be Used to Recognize and Diagnose Coughs?

Charles Bales, Muhammad Nabeel, Charles N. John +5

Emerging wireless technologies, such as 5G and beyond, are bringing new use cases to the forefront, one of the most prominent being machine learning empowered health care. One of t…

eess.AS2020★ 483 cited

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

Ali Imran, Iryna Posokhova, Haneya N. Qureshi +6

Background: The inability to test at scale has become humanity's Achille's heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game changer.…