Mohammed Ayub

12 papers A 1B 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
ADkit: A Framework for Anomaly Detection from Natural Language.
FinanSE@ICSE
Kostis Gourgoulias, Senad Ibraimoski, Alexandru-Petre Cazan, Mohammed Ayub, Andre Frade, Leandro Martin Rios, Sean J. Moran
2025 B conf
Domain Adaptation Using Adversarial Neural Network with Correlation Alignment Loss for Household Appliance Classification.
IJCNN
Mohammed Ayub, El-Sayed M. El-Alfy
2025 — conf
Efficient and Explainable Anomaly Detection in Financial System Logs Using Statistical Modeling.
FinanSE@ICSE
Mohammed Ayub, Mauro Annarumma, Gaston Liberman, David Algorry, Kostis Gourgoulias, Najah Ghalyan, Sean J. Moran
2025 J jnl
Enhanced Human Activity Recognition Using Mixture of Swin Transformers With Recurrence Plots of Triaxial Sensor Data.
IEEE Access
Mohammed Ayub, El-Sayed M. El-Alfy
2025 J jnl
Household Appliance Identification Using Vision Transformers and Multimodal Data Fusion.
IEEE Trans. Consumer Electron.
Mohammed Ayub, El-Sayed M. El-Alfy
2024 J jnl
Enhanced First-Break Picking Using Hybrid Convolutional Neural Network and Recurrent Neural Networks.
IEEE Trans. Geosci. Remote. Sens.
Mohammed Ayub, Sanlinn I. Kaka
2024 — conf
G-SwinHAR: Swin Transformer for Smartphone-Based Human Activity Recognition Using Gramian Angular Field.
ICONIP (5)
Mohammed Ayub, El-Sayed M. El-Alfy
2023 J jnl
Contextual Sequence-to-Point Deep Learning for Household Energy Disaggregation.
IEEE Access
Mohammed Ayub, El-Sayed M. El-Alfy
2023 — conf
Distributed Intrusion Detection Systems Based on Deep Learning Techniques and Boosting Ensemble.
ICFNDS
Mohammed Ayub, Yasser El-Alfy, Ayaz H. Khan
2022 J jnl
Concurrent kernel execution and interference analysis on GPUs using deep learning approaches.
J. King Saud Univ. Comput. Inf. Sci.
Mohammed Ayub, Tarek Helmy
2021 J jnl
URLCam: Toolkit for malicious URL analysis and modeling.
J. Intell. Fuzzy Syst.
Mohammed Ayub, El-Sayed M. El-Alfy
2020 A conf
Automated Identification of Security Requirements: A Machine Learning Approach.
EASE
Armin Kobilica, Mohammed Ayub, Jameleddine Hassine