Nelly Elsayed

Orcid: 0000-0003-0082-1450

According to our database1, Nelly Elsayed authored at least 53 papers between 2017 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks.
CoRR, 2024

Not as Simple as It Looked: Are We Concluding for Biased Arrest Practices?
CoRR, 2024

A Comprehensive Analytical Review on Cybercrime in West Africa.
CoRR, 2024

The Pulse of Fileless Cryptojacking Attacks: Malicious PowerShell Scripts.
CoRR, 2024

A Novel Zero-Trust Machine Learning Green Architecture for Healthcare IoT Cybersecurity: Review, Analysis, and Implementation.
CoRR, 2024

Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems.
CoRR, 2024

CautionSuicide: A Deep Learning Based Approach for Detecting Suicidal Ideation in Real Time Chatbot Conversation.
CoRR, 2024

Agricultural 4.0 Leveraging on Technological Solutions: Study for Smart Farming Sector.
CoRR, 2024

Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detection.
IEEE Access, 2024

A Secure Open-Source Intelligence Framework For Cyberbullying Investigation.
Proceedings of the 3rd IEEE International Conference on AI in Cybersecurity, 2024

Adapted Contrastive Predictive Coding Framework for Accessible Smart Home Control System Based on Hand Gestures Recognition.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification.
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023
Traffic Accident Detection Video Dataset for AI-Driven Computer Vision Systems in Smart City Transportation.
Dataset, December, 2023

Challenges and Opportunities for Practical and Effective Dynamic Information Flow Tracking.
ACM Comput. Surv., 2023

AI on the Road: A Comprehensive Analysis of Traffic Accidents and Accident Detection System in Smart Cities.
CoRR, 2023

Exploring the Journey to Drug Overdose: Applying the Journey to Crime Framework to Drug Sales Locations and Overdose Death Locations.
CoRR, 2023

Epilepsy Seizure Detection: Anatomy and Analysis.
CoRR, 2023

Cyberbullying in Text Content Detection: An Analytical Review.
CoRR, 2023

Deep Learning Approach for Early Stage Lung Cancer Detection.
CoRR, 2023

A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images.
CoRR, 2023

LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks.
CoRR, 2023

AI on the Road: A Comprehensive Analysis of Traffic Accidents and Autonomous Accident Detection System in Smart Cities.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Machine Learning for Early Mental Health Support and Offenders Correction.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

IoT Botnet Detection Using an Economic Deep Learning Model.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022
Baby Physical Safety Monitoring in Smart Home Using Action Recognition System.
CoRR, 2022

A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging.
CoRR, 2022

Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants.
CoRR, 2022

Review on Action Recognition for Accident Detection in Smart City Transportation Systems.
CoRR, 2022

Vision-Based American Sign Language Classification Approach via Deep Learning.
CoRR, 2022

The Dangerous Combo: Fileless Malware and Cryptojacking.
CoRR, 2022

Early Stage Diabetes Prediction via Extreme Learning Machine.
CoRR, 2022

Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web).
CoRR, 2022

Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Autonomous Low Power IoT System Architecture for Cybersecurity Monitoring.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

LiteLSTM Architecture for Deep Recurrent Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Vision-Based American Sign Language Classification Approach via Deep Learning.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021
Data Breaches in Healthcare Security Systems.
CoRR, 2021

A Review of Network Evolution Towards a Smart Connected World.
CoRR, 2021

Green IoT System Architecture for Applied Autonomous Network Cybersecurity Monitoring.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

A Deep LSTM based Approach for Intrusion Detection IoT Devices Network in Smart Home.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

Digital Forensics and Incident Response (DFIR) Challenges in IoT Platforms.
Proceedings of the 4th International Conference on Information and Computer Technologies, 2021

2020
A Rule-Based Model for Victim Prediction.
CoRR, 2020

Reduced-gate convolutional long short-term memory using predictive coding for spatiotemporal prediction.
Comput. Intell., 2020

A Simple Extreme Learning Machine Model for Detecting Heart Arrhythmia in The Electrocardiography Signal.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

2019
Gated Recurrent Neural Networks Empirical Utilization for Time Series Classification.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Reduced-Gate Convolutional LSTM Architecture for Next-Frame Video Prediction Using Predictive Coding.
Proceedings of the International Joint Conference on Neural Networks, 2019

An Analysis of Univariate and Multivariate Electrocardiography Signal Classification.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification.
CoRR, 2018

Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction.
CoRR, 2018

Empirical Activation Function Effects on Unsupervised Convolutional LSTM Learning.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017
BCI/AIS low power adaptive architecture for early prediction of epilepsy seizures.
Proceedings of the 15th IEEE International New Circuits and Systems Conference, 2017


  Loading...