Rasha F. Kashef
Orcid: 0000-0002-3430-1536Affiliations:
- Toronto Metropolitan University, Canada
- Ryerson University, Toronto, Canada (former)
- University of Western Ontario, IVEY Business School, London, ON, Canada (former)
- University of Waterloo, Department of Management Sciences, ON, Canada (former)
According to our database1,
Rasha F. Kashef
authored at least 76 papers
between 2004 and 2024.
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Bibliography
2024
IEEE Trans. Comput. Soc. Syst., April, 2024
IEEE Trans. Comput. Soc. Syst., February, 2024
2023
An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods.
Appl. Intell., December, 2023
Knowl. Based Syst., November, 2023
Efficient intrusion detection using multi-player generative adversarial networks (GANs): an ensemble-based deep learning architecture.
Neural Comput. Appl., June, 2023
Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets.
Sensors, 2023
IoTBChain: Adopting Blockchain Technology to Increase PLC Resilience in an IoT Environment.
Inf., 2023
Leveraging machine learning and blockchain in E-commerce and beyond: benefits, models, and application.
Discov. Artif. Intell., 2023
Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions.
CoRR, 2023
Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment.
CoRR, 2023
Proceedings of the IEEE International Systems Conference, 2023
Proceedings of the IEEE Secure Development Conference, 2023
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023
Network Traffic Classification Using Distributed ML-Based Data Parallelization Approach.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
Identification of IoT Devices Using A Multiple Transformers Single Estimator (MTSE) Learning Pipeline.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
2022
E2DR: A Deep Learning Ensemble-Based Driver Distraction Detection with Recommendations Model.
Sensors, 2022
Efficient Algebraic Multigrid Methods for Multilevel Overlapping Coclustering of User-Item Relationships.
INFORMS J. Comput., 2022
Predicting <i>l</i>-CrossSold products using connected components: A clustering-based recommendation system.
Electron. Commer. Res. Appl., 2022
Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models.
CoRR, 2022
CoRR, 2022
CoRR, 2022
ECNN: Enhanced convolutional neural network for efficient diagnosis of autism spectrum disorder.
Cogn. Syst. Res., 2022
Autonomous Vehicles Perception (AVP) Using Deep Learning: Modeling, Assessment, and Challenges.
IEEE Access, 2022
Proceedings of the IEEE International Systems Conference, 2022
A Robust Deep Learning Model for Predicting the Trend of Stock Market Prices During Market Crash Periods.
Proceedings of the IEEE International Systems Conference, 2022
Proceedings of the IEEE International Conference on Digital Health, 2022
Proceedings of the 6th International Conference on Cryptography, Security and Privacy, 2022
A Stable Generative Adversarial Network Architecture for Network Intrusion Detection.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2022
Early Detection of Heart Disease Using Advances of Machine Learning for Large-Scale Patient Datasets.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022
Integrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism.
Proceedings of the Artificial Intelligence in Medicine, 2022
2021
A boosted SVM classifier trained by incremental learning and decremental unlearning approach.
Expert Syst. Appl., 2021
Distributed clustering using multi-tier hierarchical overlay super-peer peer-to-peer network architecture for efficient customer segmentation.
Electron. Commer. Res. Appl., 2021
Predicting market movement direction for bitcoin: A comparison of time series modeling methods.
Comput. Electr. Eng., 2021
Context-Aware Recommendation Systems in the IoT Environment (IoT-CARS)-A Comprehensive Overview.
IEEE Access, 2021
Proceedings of the IEEE International Systems Conference, 2021
Deploying Different Clustering Techniques on a Collaborative-based Movie Recommender.
Proceedings of the IEEE International Systems Conference, 2021
Enhancing The Performance of Network Traffic Classification Methods Using Efficient Feature Selection Models.
Proceedings of the IEEE International Systems Conference, 2021
Deep Learning Vs. Machine Learning in Predicting the Future Trend of Stock Market Prices.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Bottleneck Analysis in JFK Using Discrete Event Simulation: An Airport Queuing Model.
Proceedings of the IEEE International Smart Cities Conference, 2021
Assessing Stroke Patients Movements Using Inertial Measurements Through the Advances of Ensemble Learning Technology.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
A Comprehensive Overview on IoT-Based Smart Stroke Rehabilitation Using the Advances of Wearable Technology.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
Proceedings of the DATA'21: International Conference on Data Science, 2021
Detecting Overlapping Communities in Social Networks Using A Modified Segmentation by Weighted Aggregation Approach.
Proceedings of the DATA'21: International Conference on Data Science, 2021
Network Flow Classification and Volume Prediction using Novel Ensemble Deep Learning Architectures in the Era of the Internet of Things (IoT).
Proceedings of the IEEE Intl Conf on Dependable, 2021
Malicious Network Traffic Detection in IoT Environments Using A Multi-level Neural Network.
Proceedings of the IEEE Intl Conf on Dependable, 2021
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021
2020
A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19.
Big Data Cogn. Comput., 2020
Big Data Cogn. Comput., 2020
IEEE Access, 2020
Optimizing the Utilization Rate for Electric Power Generation Systems: A Discrete-Event Simulation Model.
IEEE Access, 2020
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020
Efficient Detection of Shilling's Attacks in Collaborative Filtering Recommendation Systems Using Deep Learning Models.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Predicting the Demand in Bitcoin Using Data Charts: A Convolutional Neural Networks Prediction Model.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020
2019
Proceedings of the Second International Conference on Data Science, 2019
2017
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017
Proceedings of the International Conference on Big Data and Internet of Things, 2017
2014
Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014
Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014
2010
2009
Pattern Recognit., 2009
2008
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008
Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for gene expression datasets.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008
Proceedings of the International Conference on Biocomputation, 2008
2007
Proceedings of the IEEE International Conference on Systems, 2007
Cooperative Partitional-Divisive Clustering and Its Application in Gene Expression Analysis.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2004
New Fast Algorithm for Incremental Mining of Association Rules.
Proceedings of the ICEIS 2004, 2004