3 citations · 14 across the 7 of their papers we have counts for
7 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…
AI on the Road: A Comprehensive Analysis of Traffic Accidents and Accident Detection System in Smart Cities
Victor Adewopo, Nelly Elsayed, Zag Elsayed +3
Accident detection and traffic analysis is a critical component of smart city and autonomous transportation systems that can reduce accident frequency, severity and improve overall…
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images
Md Ishtyaq Mahmud, Muntasir Mamun, Ahmed Abdelgawad
Breast cancer is one of the most common and dangerous cancers in women, while it can also afflict men. Breast cancer treatment and detection are greatly aided by the use of histopa…
LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model
Muntasir Mamun, Md Ishtyaq Mahmud, Mahabuba Meherin +1
The most deadly and life-threatening disease in the world is lung cancer. Though early diagnosis and accurate treatment are necessary for lowering the lung cancer mortality rate. A…
A Deep Analysis of Hybrid-Multikey-PUF
Md Ishtyaq Mahmud, Ahmed Abdelgawad, Venkata P. Yanambaka
Unique key generation is essential for encryption purposes between Internet of Things (IoT) devices. To produce a unique key for this encryption, Physical Unclonable Functions (PUF…
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…