4 papers
Leveraging Foundation Models for Calibration-Free c-VEP BCIs
Mohammadreza Behboodi, Eli Kinney-Lang, Ali Etemad +2
Foundation Models (FMs) have surged in popularity over the past five years, with applications spanning fields from computer vision to natural language processing. Brain-Computer In…
Intelligent Spectrum Sharing in Integrated TN-NTNs: A Hierarchical Deep Reinforcement Learning Approach
Muhammad Umer, Muhammad Ahmed Mohsin, Ali Arshad Nasir +2
Integrating non-terrestrial networks (NTNs) with terrestrial networks (TNs) is key to enhancing coverage, capacity, and reliability in future wireless communications. However, the…
Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks
Muhammad Ahmed Mohsin, Muhammad Umer, Amara Umar +2
The rapid growth of computation-intensive applications like augmented reality, autonomous driving, remote healthcare, and smart cities has exposed the limitations of traditional te…
Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning
Fazal Muhammad Ali Khan, Hatem Abou-Zeid, Aryan Kaushik +1
The industrial Internet of Things (IIoT) under Industry 4.0 heralds an era of interconnected smart devices where data-driven insights and machine learning (ML) fuse to revolutioniz…