3 citations · 13 across the 20 of their papers we have counts for
23 papers
Explainable Lightweight Compact Deep Models for Speech Emotion Recognition
Nelly Elsayed
Speech Emotion Recognition (SER) is an important component in a wide range of human-centered applications, including healthcare, customer service, and human-omputer interaction. In…
Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding
Nelly Elsayed, Zag ElSayed, Navid Asadizanjani
High-dimensional feature representations are widely used in machine learning-based cyberattack detection systems. However, they increase computational complexity and may hinder dep…
Security and Privacy in Virtual and Robotic Assistive Systems: A Comparative Framework
Nelly Elsayed
Assistive technologies increasingly support independence, accessibility, and safety for older adults, people with disabilities, and individuals requiring continuous care. Two major…
Context-Aware Phishing Email Detection Using Machine Learning and NLP
Amitabh Chakravorty, Matthew Price, Nelly Elsayed +1
Phishing attacks remain among the most prevalent cybersecurity threats, causing significant financial losses for individuals and organizations worldwide. This paper presents a mach…
Detecting Fileless Cryptojacking in PowerShell Using AST-Enhanced CodeBERT Models
Said Varlioglu, Nelly Elsayed, Murat Ozer +2
With the emergence of remote code execution (RCE) vulnerabilities in ubiquitous libraries and advanced social engineering techniques, threat actors have started conducting widespre…
Identifying Information Technology Research Trends through Text Mining of NSF Awards
Said Varlioglu, Hazem Said, Murat Ozer +1
Information Technology (IT) is recognized as an independent and unique research field. However, there has been ambiguity and difficulty in identifying and differentiating IT resear…
Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging
Robby Hoover, Nelly Elsayed, Zag ElSayed +1
Medical Imagings are considered one of the crucial diagnostic tools for different bones-related diseases, especially bones fractures. This paper investigates the robustness of pre-…
Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
Nelly Elsayed, Lily Dzamesi, Zag ElSayed +1
The Internet of Medical Things (IoMT) represents a paradigm shift in the healthcare sector, enabling the interconnection of medical devices, sensors, and systems to enhance patient…
Carbon Per Transistor (CPT): The Golden Formula for Green Computing Metrics
Zag ElSayed, Nelly Elsayed, Ahmed Abdelgawad
As computing power advances, the environmental cost of semiconductor manufacturing and operation has become a critical concern. However, current sustainability metrics fail to quan…
CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
Zag ElSayed, Ahmed Abdelgawad, Nelly Elsayed
The rapid integration of the Internet of Things (IoT) and Internet of Medical (IoM) devices in the healthcare industry has markedly improved patient care and hospital operations bu…
Cybersecurity and Frequent Cyber Attacks on IoT Devices in Healthcare: Issues and Solutions
Zag ElSayed, Ahmed Abdelgawad, Nelly Elsayed
Integrating Internet of Things (IoT) devices in healthcare has revolutionized patient care, offering improved monitoring, diagnostics, and treatment. However, the proliferation of…
A Review on the Security Vulnerabilities of the IoMT against Malware Attacks and DDoS
Lily Dzamesi, Nelly Elsayed
The Internet of Medical Things (IoMT) has transformed the healthcare industry by connecting medical devices in monitoring treatment outcomes of patients. This increased connectivit…
Not as Simple as It Looked: Are We Concluding for Biased Arrest Practices?
Murat Ozer, Halil Akbas, Ismail Onat +6
This study examines racial disparities in violent arrest outcomes, challenging conventional methods through a nuanced analysis of Cincinnati Police Department data. Acknowledging t…
Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks
Sylvia Worlali Azumah, Nelly Elsayed, Zag ElSayed +2
Cyberbullying is a significant concern intricately linked to technology that can find resolution through technological means. Despite its prevalence, technology also provides solut…
The Pulse of Fileless Cryptojacking Attacks: Malicious PowerShell Scripts
Said Varlioglu, Nelly Elsayed, Eva Ruhsar Varlioglu +2
Fileless malware predominantly relies on PowerShell scripts, leveraging the native capabilities of Windows systems to execute stealthy attacks that leave no traces on the victim's…
A Novel Zero-Trust Machine Learning Green Architecture for Healthcare IoT Cybersecurity: Review, Analysis, and Implementation
Zag ElSayed, Nelly Elsayed, Sajjad Bay
The integration of Internet of Things (IoT) devices in healthcare applications has revolutionized patient care, monitoring, and data management. The Global IoT in Healthcare Market…
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani +1
Ensemble modeling has been widely used to solve complex problems as it helps to improve overall performance and generalization. In this paper, we propose a novel TemporalAugmenter…
A Comprehensive Analytical Review on Cybercrime in West Africa
Victor Adewopo, Sylvia Worlali Azumah, Mustapha Awinsongya Yakubu +3
Cybercrime is a growing concern in West Africa due to the increasing use of technology and internet penetration in the region. Legal frameworks are essential for guiding the contro…
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…
CautionSuicide: A Deep Learning Based Approach for Detecting Suicidal Ideation in Real Time Chatbot Conversation
Nelly Elsayed, Zag ElSayed, Murat Ozer
Suicide is recognized as one of the most serious concerns in the modern society. Suicide causes tragedy that affects countries, communities, and families. There are many factors th…
Agricultural 4.0 Leveraging on Technological Solutions: Study for Smart Farming Sector
Emmanuel Kojo Gyamfi, Zag ElSayed, Jess Kropczynski +2
By 2050, it is predicted that there will be 9 billion people on the planet, which will call for more production, lower costs, and the preservation of natural resources. It is antic…
Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detection
Victor Adewopo, Nelly Elsayed
The dynamic and unpredictable nature of road traffic necessitates effective accident detection methods for enhancing safety and streamlining traffic management in smart cities. Thi…
A Secure Open-Source Intelligence Framework For Cyberbullying Investigation
Sylvia Worlali Azumah, Victor Adewopo, Zag ElSayed +2
Cyberbullying has become a pervasive issue based on the rise of cell phones and internet usage affecting individuals worldwide. This paper proposes an open-source intelligence pipe…