no code implementations • 24 Sep 2023 • Aneeqa Ijaz, Muhammad Nabeel, Usama Masood, Tahir Mahmood, Mydah Sajid Hashmi, Iryna Posokhova, Ali Rizwan, Ali Imran
Reliable and accurate detection of cough events by investigating the underlying cough latent features and disease diagnosis can play an indispensable role in revitalizing the healthcare practices.
no code implementations • 24 Apr 2023 • Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas, Syed Muhammad Asad Zaidi, Hasan Farooq, Julien Forgeat, Maxime Bouton, Shruti Bothe, Per Karlsson, Ali Rizwan, Ali Imran
The extensive survey of training data scarcity addressing techniques combined with proposed framework to select a suitable technique for given type of data, can assist researchers and network operators in choosing appropriate methods to overcome the data scarcity challenge in leveraging AI to radio access network automation.
no code implementations • 30 Jan 2022 • Usama Masood, Hasan Farooq, Ali Imran, Adnan Abu-Dayya
In modern wireless communication systems, radio propagation modeling to estimate pathloss has always been a fundamental task in system design and optimization.
no code implementations • 4 May 2020 • Joel Shodamola, Usama Masood, Marvin Manalastas, Ali Imran
Hence, we propose a machine learning-based framework combined with a heuristic technique to discover the optimal combination of two pertinent COPs used in mobility, Cell Individual Offset (CIO) and Handover Margin (HOM), that maximizes a specific Key Performance Indicator (KPI) such as mean Signal to Interference and Noise Ratio (SINR) of all the connected users.
no code implementations • 4 May 2020 • Shruti Bothe, Usama Masood, Hasan Farooq, Ali Imran
In this paper, we propose an AI-based fault diagnosis solution that offers a key step towards a completely automated self-healing system without requiring human expert input.
1 code implementation • 2 Apr 2020 • Ali Imran, Iryna Posokhova, Haneya N. Qureshi, Usama Masood, Muhammad Sajid Riaz, Kamran Ali, Charles N. John, MD Iftikhar Hussain, Muhammad Nabeel
Building on the prior work on cough-based diagnosis of respiratory diseases, we propose, develop and test an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app.
no code implementations • 1 Apr 2020 • Charles Bales, Muhammad Nabeel, Charles N. John, Usama Masood, Haneya N. Qureshi, Hasan Farooq, Iryna Posokhova, Ali Imran
One of the notable modern medical concerns that impose an immense worldwide health burden are respiratory infections.