Rasha Kashef

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 43

Top Topics

Network Traffic

Collaborative Filtering Recommendation

Dependency Graphs

Top Venues

HPCC/DSS/SmartCity/DependSys

Publications

Hrag-Harout Jebamikyous, Menglu Li, Yoga Suhas Kuruba Manjunath, Rasha Kashef
Leveraging machine learning and blockchain in E-commerce and beyond: benefits, models, and application. Discov. Artif. Intell. 3 (1) (2023)
Gwen Xiao, Rasha Kashef
Identification of IoT Devices Using A Multiple Transformers Single Estimator (MTSE) Learning Pipeline. AIIoT (2023)
Najmeh Razfar, Rasha Kashef, Farah Mohammadi
Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets. Sensors 23 (12) (2023)
Philipp Schmid, Alisa Schaffhäuser, Rasha Kashef
IoTBChain: Adopting Blockchain Technology to Increase PLC Resilience in an IoT Environment. Inf. 14 (8) (2023)
Alireza Ghasemieh, Rasha Kashef
An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods. Appl. Intell. 53 (23) (2023)
Rasha Kashef, Monika Freunek, Jeff Schwartzentruber, Reza Samavi, Burcu Bulgurcu, A. J. Khan, Marcus Santos
Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research. SecDev (2023)
Muhammad Musa K. Abid Hussain, Muhammad Jaseemuddin, Rasha Kashef
Network Traffic Classification Using Distributed ML-Based Data Parallelization Approach. CCECE (2023)
Raha Soleymanzadeh, Rasha Kashef
The Future Roadmap for Cyber-attack Detection. CSP (2022)
Syed Ammad Ali Shah, Ayat Hama Saleh, Mahsa Ebrahimian, Rasha Kashef
Early Detection of Heart Disease Using Advances of Machine Learning for Large-Scale Patient Datasets. CCECE (2022)
Saad Emshagin, Wayes Koroni Halim, Rasha Kashef
Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models. CoRR (2022)
Alireza Ghasemieh, Rasha Kashef
A Robust Deep Learning Model for Predicting the Trend of Stock Market Prices During Market Crash Periods. SysCon (2022)
Thong Vo, Pranjal Dave, Gaurav Bajpai, Rasha Kashef, Naimul Khan
Brain Tumor Segmentation in MRI Images Using A Modified U-Net Model. ICDH (2022)
Ahmed Diab, Rasha Kashef, Ahmed Shaker
Deep Learning for LiDAR Point Cloud Classification in Remote Sensing. Sensors 22 (20) (2022)
Hrag-Harout Jebamikyous, Rasha Kashef
Autonomous Vehicles Perception (AVP) Using Deep Learning: Modeling, Assessment, and Challenges. IEEE Access 10 (2022)
Thong Vo, Pranjal Dave, Gaurav Bajpai, Rasha Kashef
Edge, Fog, and Cloud Computing : An Overview on Challenges and Applications. CoRR (2022)
Mustafa Aljasim, Rasha Kashef
E2DR: A Deep Learning Ensemble-Based Driver Distraction Detection with Recommendations Model. Sensors 22 (5) (2022)
Rasha Kashef
ECNN: Enhanced convolutional neural network for efficient diagnosis of autism spectrum disorder. Cogn. Syst. Res. 71 (2022)
Rasha Kashef
A boosted SVM classifier trained by incremental learning and decremental unlearning approach. Expert Syst. Appl. 167 (2021)
Abbas Saleminezhadl, Manuel Remmele, Ravikumar Chaudhari, Rasha Kashef
IoT Analytics and Blockchain. CoRR (2021)
Farzana Alam, Rasha Kashef, Muhammad Jaseemuddin
Enhancing The Performance of Network Traffic Classification Methods Using Efficient Feature Selection Models. SysCon (2021)
Alireza Ghasemieh, Rasha Kashef
Deep Learning Vs. Machine Learning in Predicting the Future Trend of Stock Market Prices. SMC (2021)
Ahmed F. Ibrahim, Rasha Kashef, Liam Corrigan
Predicting market movement direction for bitcoin: A comparison of time series modeling methods. Comput. Electr. Eng. 89 (2021)
Mahsa Ebrahimian, Rasha Kashef
A CNN-based Hybrid Model and Architecture for Shilling Attack Detection. CCECE (2021)
Najmeh Razfar, Rasha Kashef, Farah Mohammadi
Assessing Stroke Patients Movements Using Inertial Measurements Through the Advances of Ensemble Learning Technology. HPCC/DSS/SmartCity/DependSys (2021)
Dina Nawara, Rasha Kashef
Deploying Different Clustering Techniques on a Collaborative-based Movie Recommender. SysCon (2021)
Menglu Li, Eleonora Achiluzzi, Md Fahd Al Georgy, Rasha Kashef
Malicious Network Traffic Detection in IoT Environments Using A Multi-level Neural Network. DASC/PiCom/CBDCom/CyberSciTech (2021)
Menglu Li, Maryam Amirizaniani, Rasha Kashef
Efficient Comorbidity Analysis in Brain Disorders Reveals Better Diagnosis. HPCC/DSS/SmartCity/DependSys (2021)
Joseph Lai, Leslie Che, Rasha Kashef
Bottleneck Analysis in JFK Using Discrete Event Simulation: An Airport Queuing Model. ISC2 (2021)
Farnaz Sarhangian, Rasha Kashef, Muhammad Jaseemuddin
Efficient Traffic Classification Using Hybrid Deep Learning. SysCon (2021)
Yoga Suhas Kuruba Manjunath, Vakar Kohli, Salman Ghaffar, Rasha Kashef
Network Flow Classification and Volume Prediction using Novel Ensemble Deep Learning Architectures in the Era of the Internet of Things (IoT). DASC/PiCom/CBDCom/CyberSciTech (2021)
Hrag-Harout Jebamikyous, Rasha Kashef
Deep Learning-Based Semantic Segmentation in Autonomous Driving. HPCC/DSS/SmartCity/DependSys (2021)
Najmeh Razfar, Rasha Kashef, Farah Mohammadi
A Comprehensive Overview on IoT-Based Smart Stroke Rehabilitation Using the Advances of Wearable Technology. HPCC/DSS/SmartCity/DependSys (2021)
Mahsa Ebrahimian, Rasha Kashef
Detecting Shilling Attacks Using Hybrid Deep Learning Models. Symmetry 12 (11) (2020)
Turner Tobin, Rasha Kashef
Efficient Prediction of Gold Prices Using Hybrid Deep Learning. ICIAR (2) (2020)
Ahmed F. Ibrahim, Liam Corrigan, Rasha Kashef
Predicting the Demand in Bitcoin Using Data Charts: A Convolutional Neural Networks Prediction Model. CCECE (2020)
Hani A. Aldhubaib, Rasha Kashef
Optimizing the Utilization Rate for Electric Power Generation Systems: A Discrete-Event Simulation Model. IEEE Access 8 (2020)
Menglu Li, Rasha Kashef, Ahmed F. Ibrahim
Multi-Level Clustering-Based Outlier's Detection (MCOD) Using Self-Organizing Maps. Big Data Cogn. Comput. 4 (4) (2020)
Mahsa Ebrahimian, Rasha Kashef
Efficient Detection of Shilling's Attacks in Collaborative Filtering Recommendation Systems Using Deep Learning Models. IEEM (2020)
Toni Pano, Rasha Kashef
A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19. Big Data Cogn. Comput. 4 (4) (2020)
Rasha Kashef
Enhancing the Role of Large-Scale Recommendation Systems in the IoT Context. IEEE Access 8 (2020)
Glendon Hass, Parker Simon, Rasha Kashef
Business Applications for Current Developments in Big Data Clustering: An Overview. IEEM (2020)
Xue Tan, Rasha Kashef
Predicting the closing price of cryptocurrencies: a comparative study. DATA (2019)
Rasha Kashef, Akshat Niranjan
Handling Large-Scale Data using Two-Tier Hierarchical Super-Peer P2P Network. BDIOT (2017)
Ahmed F. Ibrahim, Derek Rayside, Rasha Kashef
Cooperative based software clustering on dependency graphs. CCECE (2014)
Yasser El-Sonbaty, Rasha Kashef
New Fast Algorithm for Incremental Mining of Association Rules. ICEIS (1) (2004)