94 citations · 166 across the 23 of their papers we have counts for
25 papers
Empirical Evaluation of Machine Learning for Cloud Cryptojacking Detection: Effects of Preprocessing and Evaluation Protocols
Amitabh Chakravorty, Nelly Elsayed
Artificial intelligence (AI) has been widely applied to cloud cryptojacking detection. Classical machine learning models remain among the most widely used approaches for cloud cryp…
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…
Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants
Zag ElSayed, Murat Ozer, Nelly Elsayed +1
Brain Computer Interface (BCI) has great potential for solving many brain signal analysis limitations, mental disorder resolutions, and restoring missing limb functionality via neu…
A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging
Gargi Desai, Nelly Elsayed, Zag Elsayed +1
The world is still overwhelmed by the spread of the COVID-19 virus. With over 250 Million infected cases as of November 2021 and affecting 219 countries and territories, the world…
Baby Physical Safety Monitoring in Smart Home Using Action Recognition System
Victor Adewopo, Nelly Elsayed, Kelly Anderson
Humans are able to intuitively deduce actions that took place between two states in observations via deductive reasoning. This is because the brain operates on a bidirectional comm…
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…
Vision-Based American Sign Language Classification Approach via Deep Learning
Nelly Elsayed, Zag ElSayed, Anthony S. Maida
Hearing-impaired is the disability of partial or total hearing loss that causes a significant problem for communication with other people in society. American Sign Language (ASL) i…
The Dangerous Combo: Fileless Malware and Cryptojacking
Said Varlioglu, Nelly Elsayed, Zag ElSayed +1
Fileless malware and cryptojacking attacks have appeared independently as the new alarming threats in 2017. After 2020, fileless attacks have been devastating for victim organizati…
Early Stage Diabetes Prediction via Extreme Learning Machine
Nelly Elsayed, Zag ElSayed, Murat Ozer
Diabetes is one of the chronic diseases that has been discovered for decades. However, several cases are diagnosed in their late stages. Every one in eleven of the world's adult po…
Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web)
Victor Adewopo, Bilal Gonen, Nelly Elsayed +2
In our current society, the inter-connectivity of devices provides easy access for netizens to utilize cyberspace technology for illegal activities. The deep web platform is a cons…
LiteLSTM Architecture for Deep Recurrent Neural Networks
Nelly Elsayed, Zag ElSayed, Anthony S. Maida
Long short-term memory (LSTM) is a robust recurrent neural network architecture for learning spatiotemporal sequential data. However, it requires significant computational power fo…
Data Breaches in Healthcare Security Systems
Jahnavi Reddy, Nelly Elsayed, Zag ElSayed +1
Providing security to Health Information is considered to be the topmost priority when compared to any other field. After the digitalization of the patient's records in the medical…
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…
A Review of Network Evolution Towards a Smart Connected World
Olivia Haring, Sylvia Worlali Azumah, Nelly Elsayed
With the rapid innovations in technology, wireless internet-connected devices are more ubiquitous than ever and can be found in virtually every aspect of both our personal and prof…
Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model
Nelly Elsayed, Zaghloul Saad Zaghloul, Sylvia Worlali Azumah +1
Internet of Things (IoT) allowed smart homes to improve the quality and the comfort of our daily lives. However, these conveniences introduced several security concerns that increa…
A Rule-Based Model for Victim Prediction
Murat Ozer, Nelly Elsayed, Said Varlioglu +2
In this paper, we proposed a novel automated model, called Vulnerability Index for Population at Risk (VIPAR) scores, to identify rare populations for their future shooting victimi…