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Found 16 papers, 1 papers with code
Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference
This paper investigates the significance of designing a reliable, intelligent, and true physical environment-aware precoding scheme by leveraging an accurately designed channel twin model to obtain realistic channel state information (CSI) for cellular communication systems.
AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions
By identifying and discussing critical research challenges and knowledge gaps in this framework, our work aims to guide the advancement of AI-driven HAT for optimizing tactical operations.
Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applications
The development of satellite constellation applications is rapidly advancing due to increasing user demands, reduced operational costs, and technological advancements.
Neuro-Symbolic AI for Military Applications
We further explore its potential to solve complex tasks in various domains, in addition to its applications in military contexts.
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives
The emergence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has marked a new era of Natural Language Processing (NLP), introducing unprecedented capabilities that are revolutionizing various domains.
Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives
Through this detailed investigation, our goal is to articulate the scientific contributions of this survey paper, transcending a mere structural overview to highlight the transformative implications of the metaverse.
Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Grid
The rapid growth of distributed energy resources (DERs), such as renewable energy sources, generators, consumers, and prosumers in the smart grid infrastructure, poses significant cybersecurity and trust challenges to the grid controller.
Intrusion Detection Systems Using Support Vector Machines on the KDDCUP'99 and NSL-KDD Datasets: A Comprehensive Survey
We provide a summary of each method, identifying the role of the SVMs classifier, and all other algorithms involved in the studies.
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
To this end, in this paper, we explore the present and future of FL technology in medical applications where data sharing is a significant challenge.
Gradient Ascent Algorithm for Enhancing Secrecy Rate in Wireless Communications for Smart Grid
Unlike state-of-the-art, we design and evaluate the Gradient Ascent algorithm to search for the best combiners/waveform that maximizes the secrecy capacity in smart grid communications.
Reinforcement Learning for IoT Security: A Comprehensive Survey
Machine learning has been proposed as one of the emerging solutions for IoT security and Reinforcement learning is gaining more popularity for securing IoT systems.
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS
Furthermore, with this paper, readers can have a thorough understanding of recent advances on ML-based security and securing ML for CPS and countermeasures, as well as research trends in this active research area.
Securing V2I Communications in 5G and Beyond Wireless System Using Gradient Ascent Approach
The 5G and beyond wireless systems, instead of being just an extension of 4G, are regarded as `network of networks' which is expected to integrate heterogeneous wireless networks including wireless vehicular networks (WVN).
PLS for V2I Communications Using Friendly Jammer and Double kappa-mu Shadowed Fading
The concept of intelligent transportation systems (ITS) is considered to be a highly promising area of research due to its diversity of unique features.
Physical Layer Security for V2I Communications: Reflecting Surfaces Vs. Relaying
Wireless vehicular network (WVN) is exponentially gaining attention from industries and researchers since it is the Keystone of intelligent transportation systems (ITS).
A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study
Therefore, in this paper, a new framework is proposed to detect COVID-19 using built-in smartphone sensors.
