Haneya Naeem Qureshi

TL;DR: In this paper, an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app is proposed, based on the prior work on cough-based diagnosis of respiratory diseases.

TL;DR: An Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app is proposed, developed and test, and results show AI4CO VID-19 can distinguish among COvid-19 coughs and several types of non-COVID- 19 coughs.

TL;DR: This paper presents a low complexity, automated recognition and diagnostic tool for screening respiratory infections that utilizes Convolutional Neural Networks to detect cough within environment audio and diagnose three potential illnesses based on their unique cough audio features.

TL;DR: In this paper, service level agreements (SLAs) can enable 5G-enabled medical device use cases by documenting how a medical device communication requirements are met by the unique characteristics of 5G networks and the roles and responsibilities of the stakeholders involved in offering safe and effective 5Genabled healthcare to patients.

TL;DR: In this article, the authors address the UAV deployment problem while using a realistic three-dimensional directional antenna model and propose a new packing scheme for multiple UAVs coverage that offers several advantages compared to prior approaches.