Nelly Elsayed
Orcid: 0000-0003-0082-1450
According to our database1,
Nelly Elsayed
authored at least 54 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks.
CoRR, 2024
CoRR, 2024
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
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
A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images.
CoRR, 2023
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
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
2022
CoRR, 2022
A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging.
CoRR, 2022
CoRR, 2022
Review on Action Recognition for Accident Detection in Smart City Transportation Systems.
CoRR, 2022
CoRR, 2022
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
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
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
Proceedings of the 4th International Conference on Information and Computer Technologies, 2021
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
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
2017
Proceedings of the 15th IEEE International New Circuits and Systems Conference, 2017