94 citations · 166 across the 23 of their papers we have counts for
8 papers · 1 filter
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…
Exploring the Journey to Drug Overdose: Applying the Journey to Crime Framework to Drug Sales Locations and Overdose Death Locations
Murat Ozer, Ismail Onat, Halil Akbas +3
Drug overdose is a pressing public health concern in the United States, resulting in a significant number of fatalities each year. In this study, we employ the Journey to Crime (JT…
Machine Learning Based IoT Adaptive Architecture for Epilepsy Seizure Detection: Anatomy and Analysis
Zag ElSayed, Murat Ozer, Nelly Elsayed +1
A seizure tracking system is crucial for monitoring and evaluating epilepsy treatments. Caretaker seizure diaries are used in epilepsy care today, but clinical seizure monitoring m…
Cyberbullying in Text Content Detection: An Analytical Review
Sylvia W Azumah, Nelly Elsayed, Zag ElSayed +1
Technological advancements have resulted in an exponential increase in the use of online social networks (OSNs) worldwide. While online social networks provide a great communicatio…
Deep Learning Approach for Early Stage Lung Cancer Detection
Saleh Abunajm, Nelly Elsayed, Zag ElSayed +1
Lung cancer is the leading cause of death among different types of cancers. Every year, the lives lost due to lung cancer exceed those lost to pancreatic, breast, and prostate canc…
A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images
Shrish Pellakur, Nelly Elsayed, Zag ElSayed +1
Alzheimer's disease is a degenerative brain disease. Being the primary cause of Dementia in adults and progressively destroys brain memory. Though Alzheimer's disease does not have…
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…
LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks
Nelly Elsayed, Zag ElSayed, Anthony S. Maida
Long short-term memory (LSTM) is one of the robust recurrent neural network architectures for learning sequential data. However, it requires considerable computational power to lea…