Search Results for author: Ali Imran

Found 11 papers, 1 papers with code

See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring

no code implementations30 Oct 2022 Megan Heath, Ali Imran, David St-Onge

Precision agriculture aims to use technological tools for the agro-food sector to increase productivity, cut labor costs, and reduce the use of resources.

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

no code implementations30 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.

Mobility Management in Emerging Ultra-Dense Cellular Networks: A Survey, Outlook, and Future Research Directions

no code implementations29 Sep 2020 Syed Muhammad Asad Zaidi, Marvin Manalastas, Hasan Farooq, Ali Imran

The exponential rise in mobile traffic originating from mobile devices highlights the need for making mobility management in future networks even more efficient and seamless than ever before.


Towards Designing Systems with Large Number of Antennas for Range Extension in Ground-to-Air Communications

no code implementations25 Jun 2020 Haneya Naeem Qureshi, Ali Imran

Providing broadband connectivity to airborne systems using ground based cellular networks is a promising solution as it offers several advantages over satellite-based solutions.

On the Trade-offs between Coverage Radius, Altitude and Beamwidth for Practical UAV Deployments

no code implementations9 Jun 2020 Haneya Naeem Qureshi, Ali Imran

However, they analyze UAV coverage radius and altitude interplay while omitting or over-simplifying an important aspect of UAV deployment, i. e., effect of a realistic antenna pattern.

Neuromorphic AI Empowered Root Cause Analysis of Faults in Emerging Networks

no code implementations4 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.

Fault Detection Management

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

no code implementations4 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.

BIG-bench Machine Learning

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

1 code implementation2 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.

COVID-19 Diagnosis Transfer Learning

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