Mohammed Ayub

According to our database, Mohammed Ayub authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Household Appliance Identification Using Vision Transformers and Multimodal Data Fusion.

Mohammed Ayub, El-Sayed M. El-Alfy

IEEE Trans. Consumer Electron., May, 2025

ADkit: A Framework for Anomaly Detection from Natural Language.

Kostis Gourgoulias, Senad Ibraimoski, Alexandru-Petre Cazan, Mohammed Ayub, Andre Frade, Leandro Martin Rios, Sean J. Moran

Proceedings of the 2nd IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2025

Efficient and Explainable Anomaly Detection in Financial System Logs Using Statistical Modeling.

Mohammed Ayub, Mauro Annarumma, Gaston Liberman, David Algorry, Kostis Gourgoulias, Najah Ghalyan, Sean J. Moran

Proceedings of the 2nd IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2025

2024

Enhanced First-Break Picking Using Hybrid Convolutional Neural Network and Recurrent Neural Networks.

Mohammed Ayub, Sanlinn I. Kaka

IEEE Trans. Geosci. Remote. Sens., 2024

G-SwinHAR: Swin Transformer for Smartphone-Based Human Activity Recognition Using Gramian Angular Field.

Mohammed Ayub, El-Sayed M. El-Alfy

Proceedings of the Neural Information Processing - 31st International Conference, 2024

2023

Contextual Sequence-to-Point Deep Learning for Household Energy Disaggregation.

Mohammed Ayub, El-Sayed M. El-Alfy

IEEE Access, 2023

Distributed Intrusion Detection Systems Based on Deep Learning Techniques and Boosting Ensemble.

Mohammed Ayub, Yasser El-Alfy, Ayaz H. Khan

Proceedings of the 7th International Conference on Future Networks and Distributed Systems, 2023

2022

Concurrent kernel execution and interference analysis on GPUs using deep learning approaches.

Mohammed Ayub, Tarek Helmy

J. King Saud Univ. Comput. Inf. Sci., November, 2022

2021

URLCam: Toolkit for malicious URL analysis and modeling.

Mohammed Ayub, El-Sayed M. El-Alfy

J. Intell. Fuzzy Syst., 2021

2020

Automated Identification of Security Requirements: A Machine Learning Approach.

Armin Kobilica, Mohammed Ayub, Jameleddine Hassine

Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020