Ali Alfatemi

According to our database, Ali Alfatemi authored at least 22 papers between 2022 and 2026.

Collaborative distances:

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

2026

A Resource-Efficient Blockchain With Delegated Fault-Tolerance for Manufacturing Nodes.

Mohammad Iqbal Saryuddin Assaqty, Ying Gao, Ali Alfatemi, Mohamed Rahouti, Abdellah Chehri

IEEE Trans. Ind. Informatics, May, 2026

MTAGEC: Multi-Task Arabic Grammatical Error Correction as a sequence generation with synthetic data.

Zeinab Mahmoud, Marco Zappatore, Natalia Kryvinska, Mohammed Abdalsalam, Ali Alfatemi, Aiman Solyman

J. King Saud Univ. Comput. Inf. Sci., 2026

MS-GBANet: Multiscale graph convolution with boundary attention for medical image segmentation.

Aiman Solyman, Ahmed Elazab, Mohamed Rahouti, Ali Alfatemi, Zeinab Mahmoud, Marco Zappatore

Biomed. Signal Process. Control., 2026

2025

Foreground-Centric learning improves robustness in fine-grained visual recognition.

Ali Alfatemi, Mohamed Rahouti, Majjed Al-Qatf, Senthil Kumar Jagatheesaperumal

Signal Image Video Process., December, 2025

Integrating Robotic Navigation with Blockchain: A Novel PoS-Based Approach for Heterogeneous Robotic Teams.

Nasim Paykari, Ali Alfatemi, Damian M. Lyons, Mohamed Rahouti

CoRR, May, 2025

Identifying Distributed Denial of Service Attacks through Multi-Model Deep Learning Fusion and Combinatorial Analysis.

Ali Alfatemi, Mohamed Rahouti, D. Frank Hsu, Christina Schweikert, Nasir Ghani, Aiman Solyman, Mohammad Iqbal Saryuddin Assaqty

J. Netw. Syst. Manag., March, 2025

Enabling Real-Time, Explainable DDoS Mitigation via On-Premise Large Language Models and Flow Analysis.

Henok Wondimu, Ali Alfatemi, Mohamed Rahouti, Abdellah Chehri, Pawel Weichbroth, Nasir Ghani

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

ProtoMAML: A Hybrid Meta-Learning Approach Integrating Prototypical Networks for Data-Efficient DDoS Attack Detection.

Ali Alfatemi, Mohamed Rahouti, Zakirul Alam Bhuiyan, Aiman Solyman, Mohammed Aledhari

Proceedings of the International Wireless Communications and Mobile Computing, 2025

A Two-Stage LLM-Enhanced DDoS Detection Framework for Next-Generation IoT and Edge Networks.

Ali Alfatemi, Mohamed Rahouti, Zakirul Alam Bhuiyan, Abdellah Chehri, Aiman Solyman

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Vision-Language Integration for Image Captioning Using Vision Transformers and GPT-J.

Ali Alfatemi, Mohamed Rahouti, Mohammed Aledhari, Nasir Ghani, Abdellah Chehri, Gwanggil Jeon

Proceedings of the Applied Imagery Pattern Recognition, 2025

2024

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness.

Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Ali Alfatemi, Nasir Ghani, Vu Khanh Quy, Abdellah Chehri

IEEE Internet Things Mag., September, 2024

Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data.

Mohammed Aledhari, Mohamed Rahouti, Ali Alfatemi

CoRR, 2024

Optimizing Control Strategies for Wheeled Mobile Robots Using Fuzzy Type I and II Controllers and Parallel Distributed Compensation.

Nasim Paykari, Razieh Jokar, Ali Alfatemi, Damian M. Lyons, Mohamed Rahouti

CoRR, 2024

Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators.

Abdelatif Hafid, Maad Ebrahim, Ali Alfatemi, Mohamed Rahouti, Diogo Oliveira

CoRR, 2024

Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling.

Ali Alfatemi, Mohamed Rahouti, Ruhul Amin, Sarah ALJamal, Kaiqi Xiong, Yufeng Xin

CoRR, 2024

Precision DDoS Detection through Gaussian Noise-Augmented Neural Networks.

Ali Alfatemi, Diogo Oliveira, Mohamed Rahouti, Abdelatif Hafid, Nasir Ghani

Proceedings of the 15th International Conference on Network of the Future, 2024

Multi-Label Classification with Deep Learning and Manual Data Collection for Identifying Similar Bird Species.

Ali Alfatemi, Sarah A. L. Jamal, Nasim Paykari, Mohamed Rahouti, Abdellah Chehri

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Refining Bird Species Identification through GAN-Enhanced Data Augmentation and Deep Learning Models.

Ali Alfatemi, Sarah A. L. Jamal, Nasim Paykari, Mohamed Rahouti, Ruhul Amin, Abdellah Chehri

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach.

Fernando Martinez, Mariyam Mapkar, Ali Alfatemi, Mohamed Rahouti, Yufeng Xin, Kaiqi Xiong, Nasir Ghani

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023

Optimizing the impact of data augmentation for low-resource grammatical error correction.

Aiman Solyman, Marco Zappatore, Zhenyu Wang, Zeinab Mahmoud, Ali Alfatemi, Ashraf Osman Ibrahim, Lubna Abdel Kareim Gabralla

J. King Saud Univ. Comput. Inf. Sci., June, 2023

Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios.

Zeinab Mahmoud, Chunlin Li, Marco Zappatore, Aiman Solyman, Ali Alfatemi, Ashraf Osman Ibrahim, Abdelzahir Abdelmaboud

PeerJ Comput. Sci., 2023

2022

Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold.

Ali Alfatemi, Hong Peng, Wentao Rong, Bin Zhang, Hongmin Cai

BMC Medical Informatics Decis. Mak., 2022