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- research-articleOctober 2024
Comparative Analysis of Deep Learning Models for Breast Cancer Classification on Multimodal Data
VLM4Bio'24: Proceedings of the First International Workshop on Vision-Language Models for Biomedical ApplicationsPages 31–39https://doi.org/10.1145/3689096.3689462Rising breast cancer incidence and mortality represent significant global challenges for women. Deep learning has demonstrated superior diagnostic performance in breast cancer classification compared to human experts. However, most deep learning methods ...
- review-articleFebruary 2024
Experts and intelligent systems for smart homes’ Transformation to Sustainable Smart Cities: A comprehensive review
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122380AbstractIn this constantly evolving landscape of urbanization, the relationship between technology and automation, in regards to sustainability, holds immense significance. The intricate strands of human intelligence are seamlessly interwoven with the ...
Highlights- Technical advancement needed for transformation of home automation to a next level.
- Smart cities that build from the foundation of homes automations have been discussed.
- Comparison with the existing papers to unlock new research ...
- research-articleDecember 2023
Metaverse Communications, Networking, Security, and Applications: Research Issues, State-of-the-Art, and Future Directions
IEEE Communications Surveys & Tutorials (IEEE_ICST), Volume 26, Issue 2Pages 1238–1278https://doi.org/10.1109/COMST.2023.3347172Metaverse is an evolving orchestrator of the next-generation Internet architecture that produces an immersive and self-adapting virtual world in which humans perform activities similar to those in the real world, such as playing sports, doing work, and ...
- research-articleFebruary 2023
Federated-Learning-Empowered Semi-Supervised Active Learning Framework for Intrusion Detection in ZSM
IEEE Communications Magazine (COMAG), Volume 61, Issue 2Pages 88–94https://doi.org/10.1109/MCOM.001.2200533Exponential growth of novel radical applications and services in sixth-generation (6G) networks is expected to increase the complexity of managing existing network infrastructures. In this context, the zero touch network and service management (ZSM) ...
- research-articleJanuary 2023
A Smart Digital Twin Enabled Security Framework for Vehicle-to-Grid Cyber-Physical Systems
IEEE Transactions on Information Forensics and Security (TIFS), Volume 18Pages 5258–5271https://doi.org/10.1109/TIFS.2023.3305916The rapid growth of electric vehicle (EV) penetration has led to more flexible and reliable vehicle-to-grid-enabled cyber-physical systems (V2G-CPSs). However, the increasing system complexity also makes them more vulnerable to cyber-physical threats. ...
- research-articleSeptember 2021
Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges
AbstractThe role of the Internet of Things (IoT) in the revolutionized society cannot be overlooked. The IoT can leverage advanced machine learning (ML) algorithms for its applications. However, given the fact of massive data, which is stored at a ...