Automated analysis of Australian tropical cyclones with regression, clustering and convolutional neural network

F Sufi, E Alam, M Alsulami - Sustainability, 2022 - mdpi.com
Tropical cyclones take precious lives, damage critical infrastructure, and cause economic
losses worth billions of dollars in Australia. To reduce the detrimental effect of cyclones, a …

Identifying drivers of COVID-19 vaccine sentiments for effective vaccination policy

F Sufi, M Alsulami - Heliyon, 2023 - cell.com
The COVID-19 pandemic has had far-reaching consequences globally, including a
significant loss of lives, escalating unemployment rates, economic instability, deteriorating …

[HTML][HTML] AI-Tornado: An AI-based Software for analyzing Tornadoes from disaster event dataset

FK Sufi - Software Impacts, 2022 - Elsevier
AI-Tornado is a decision support system for analyzing Tornadoes from any Tornado-event
dataset using artificial intelligence (AI) based algorithms. With automated linear and logistic …

[PDF][PDF] Automated Analysis of Australian Tropical Cyclones with Regression, Clustering, and Convolutional Neural Network. Sustainability 2022, 14, 9830

F Sufi, E Alam, M Alsulami - 2022 - researchgate.net
Tropical cyclones take precious lives, damage critical infrastructure, and cause economic
losses worth billions of dollars in Australia. To reduce the detrimental effect of cyclones, a …

[PDF][PDF] ConvSNN: A surrogate gradient spiking neural framework for radar gesture recognition

A Safa, F Catthoor, G Gielen - Software Impacts, 2021 - lirias.kuleuven.be
Spiking neural networks (SNNs) have recently gained large interest for edge-AI applications
due to their low latency and ultra-low energy consumption. Unlike DNNs, SNNs …