4 citations · 9 across the 6 of their papers we have counts for
6 papers
Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
Victor Adewopo, Nelly Elsayed, Zag Elsayed +4
In the dynamic urban landscape, where the interplay of vehicles and pedestrians defines the rhythm of life, integrating advanced technology for safety and efficiency is increasingl…
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
Fudong Lin, Summer Crawford, Kaleb Guillot +14
Precise crop yield prediction provides valuable information for agricultural planning and decision-making processes. However, timely predicting crop yields remains challenging as c…
IoT Botnet Detection Using an Economic Deep Learning Model
Nelly Elsayed, Zag ElSayed, Magdy Bayoumi
The rapid progress in technology innovation usage and distribution has increased in the last decade. The rapid growth of the Internet of Things (IoT) systems worldwide has increase…
Review on Action Recognition for Accident Detection in Smart City Transportation Systems
Victor Adewopo, Nelly Elsayed, Zag ElSayed +3
Action detection and public traffic safety are crucial aspects of a safe community and a better society. Monitoring traffic flows in a smart city using different surveillance camer…
Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring
Nelly Elsayed, Zag ElSayed, Navid Asadizanjani +3
Understanding human behavior and monitoring mental health are essential to maintaining the community and society's safety. As there has been an increase in mental health problems d…
Autonomous Low Power IoT System Architecture for Cybersecurity Monitoring
Zag ElSayed, Nelly Elsayed, Chengcheng Li +1
Network security morning (NSM) is essential for any cybersecurity system, where the average cost of a cyber attack is 1.1 million. No matter how secure a system, it will eventually…