Method for remote rapid response to transportation security threats on high speed rail systems. - Boris A. Lyovin; Alexey V. Shvetsov; Roberto Setola; Svetlana V. Shvetsova; Marco Tesei (Int. J. Crit. Infrastructures, 2019)

Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm. - Shiv Nath Chaudhri; Navin Singh Rajput; Saeed Hamood Alsamhi; Alexey V. Shvetsov; Faris A. Almalki (Sensors, 2022)

Drones' Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy. - Saeed Hamood Alsamhi; Faris A. Almalki; Fatemeh Afghah; Ammar Hawbani; Alexey V. Shvetsov; Brian A. Lee 001; Houbing Song (IEEE Trans. Green Commun. Netw., 2022)

Federated Learning Meets Intelligence Reflection Surface in Drones for Enabling 6G Networks: Challenges and Opportunities. - Alexey V. Shvetsov; Saeed Hamood Alsamhi; Ammar Hawbani; Santosh Kumar 006; Sumit Srivastava; Sweta Agarwal; Navin Singh Rajput; Amr A. Alammari; Farhan M. A. Nashwan (IEEE Access, 2023)

Spatial Upscaling-Based Algorithm for Detection and Estimation of Hazardous Gases. - Sumit Srivastava; Shiv Nath Chaudhri; Navin Singh Rajput; Saeed Hamood Alsamhi; Alexey V. Shvetsov (IEEE Access, 2023)

Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications. - Saeed Hamood Alsamhi; Ammar Hawbani; Alexey V. Shvetsov; Santosh Kumar 006 (Adv. Hum. Comput. Interact., 2023)

An Efficient and Secure Certificateless Aggregate Signature Scheme for Vehicular Ad hoc Networks. - Asad Iqbal; Muhammad Zubair 007; Muhammad Asghar Khan; Insaf Ullah; Ghani Ur Rehman; Alexey V. Shvetsov; Fazal Noor (Future Internet, 2023)

A Smart Card-Based Two-Factor Mutual Authentication Scheme for Efficient Deployment of an IoT-Based Telecare Medical Information System. - Muhammad Asghar Khan; Hosam Alhakami 001; Wajdi Alhakami; Alexey V. Shvetsov; Insaf Ullah (Sensors, 2023)

An IoT-Enabled E-Nose for Remote Detection and Monitoring of Airborne Pollution Hazards Using LoRa Network Protocol. - Kanak Kumar; Shiv Nath Chaudhri; Navin Singh Rajput; Alexey V. Shvetsov; Radhya Sahal; Saeed Hamood Alsamhi (Sensors, 2023)

A Survey of Deep Learning Based NOMA: State of the Art, Key Aspects, Open Challenges and Future Trends. - Syed Agha Hassnain Mohsan; Yanlong Li 001; Alexey V. Shvetsov; José Varela Aldás; Samih Mohemmed Mostafa; Abdelrahman Elfikky (Sensors, 2023)

NOMA-Based VLC Systems: A Comprehensive Review. - Syed Agha Hassnain Mohsan; Muhammad Sadiq; Yanlong Li 001; Alexey V. Shvetsov; Svetlana V. Shvetsova; Muhammad Shafiq 003 (Sensors, 2023)

Blockchain-Empowered Security and Energy Efficiency of Drone Swarm Consensus for Environment Exploration. - Saeed Hamood Alsamhi; Alexey V. Shvetsov; Svetlana V. Shvetsova; Ammar Hawbani; Mohsen Guizani; Mohammed A. Alhartomi; Ou Ma (IEEE Trans. Green Commun. Netw., 2023)

Blockchain Meets Federated Learning in Healthcare: A Systematic Review With Challenges and Opportunities. - Raushan Myrzashova; Saeed Hamood Alsamhi; Alexey V. Shvetsov; Ammar Hawbani; Xi Wei 001 (IEEE Internet Things J., 2023)

Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G. - Saeed Hamood Alsamhi; Alexey V. Shvetsov; Ammar Hawbani; Svetlana V. Shvetsova; Santosh Kumar 006; Liang Zhao 004 (Future Gener. Comput. Syst., 2023)

Early MTS Forecasting for Dynamic Stock Prediction: A Double Q-Learning Ensemble Approach. - Santosh Kumar 006; Mohammed H. Alsamhi; Sunil Kumar; Alexey V. Shvetsov; Saeed Hamood Alsamhi (IEEE Access, 2024)

When Holographic Communication Meets Metaverse: Applications, Challenges, and Future Trends. - Alexey V. Shvetsov; Saeed Hamood Alsamhi (IEEE Access, 2024)

Leveraging Machine Learning for Cybersecurity Resilience in Industry 4.0: Challenges and Future Directions. - Jia Yu; Alexey V. Shvetsov; Saeed Hamood Alsamhi (IEEE Access, 2024)

Synergy of Human-Centered AI and Cyber-Physical-Social Systems for Enhanced Cognitive Situation Awareness: Applications, Challenges and Opportunities. - Saeed Hamood Alsamhi; Santosh Kumar 006; Ammar Hawbani; Alexey V. Shvetsov; Liang Zhao 004; Mohsen Guizani (Cogn. Comput., 2024)

BCFTL: Blockchain-Enabled Multimodal Federated Transfer Learning for Decentralized Alzheimer's Diagnosis. - Raushan Myrzashova; Saeed Hamood Alsamhi; Alexey V. Shvetsov; Ammar Hawbani; Mohsen Guizani; Xi Wei 001 (IEEE Internet Things J., 2025)

Wireless Power Transfer Technologies, Applications, and Future Trends: A Review. - Aisha Alabsi; Ammar Hawbani; Xingfu Wang; Ahmed Yassin Al-Dubai; Jiankun Hu; Samah Abdel Aziz; Santosh Kumar 006; Liang Zhao 004; Alexey V. Shvetsov; Saeed Hamood Alsamhi (IEEE Trans. Sustain. Comput., 2025)

Merged Path: Distributed Data Dissemination in Mobile Sinks Sensor Networks. - Xingfu Wang; Ammar Hawbani; Liang Zhao 004; Saeed Hamood Alsamhi; Wajdy Othman; Mohammed A. A. Al-qaness; Alexey V. Shvetsov (IEEE Trans. Sustain. Comput., 2025)

FuzzyGuard: A Novel Multimodal Neuro-Fuzzy Framework for COPD Early Diagnosis. - Santosh Kumar 006; Alexey V. Shvetsov; Saeed Hamood Alsamhi (IEEE Internet Things J., 2025)

Empowering Remote Healthcare With Federated Learning for Early Diagnosis of Pulmonary Disease. - Santosh Kumar 006; Alexey V. Shvetsov; Saeed Hamood Alsamhi (IEEE Internet Things J., 2025)