Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Ekin, Sabit"'
Simulation-Based Optimistic Policy Iteration For Multi-Agent MDPs with Kullback-Leibler Control Cost
This paper proposes an agent-based optimistic policy iteration (OPI) scheme for learning stationary optimal stochastic policies in multi-agent Markov Decision Processes (MDPs), in which agents incur a Kullback-Leibler (KL) divergence cost for their c
Externí odkaz:
http://arxiv.org/abs/2410.15156
This study presents a novel mechanical metallic reflector array to guide wireless signals to the point of interest, thereby enhancing received signal quality. Comprised of numerous individual units, this device, which acts as a linear Fresnel reflect
Externí odkaz:
http://arxiv.org/abs/2407.19179
Autor:
Ibrahim, Mostafa, Ekin, Sabit
Propeller modulation, also known as micro-Doppler modulation, presents a significant challenge in radio frequency (RF) inspection operations conducted via drones. This paper investigates the equalization of propeller modulation effects on RF signals,
Externí odkaz:
http://arxiv.org/abs/2407.19084
This article discusses the challenges and opportunities of managing group delay dispersion (GDD) and its relation to the performance standards of future sixth-generation (6G) wireless communication systems utilizing terahertz frequency waves. The uni
Externí odkaz:
http://arxiv.org/abs/2405.20107
Autor:
Islam, Md Zobaer, Abele, Ethan, Hossain, Fahim Ferdous, Ahmad, Arsalan, Ekin, Sabit, O'Hara, John F.
Channel turbulence presents a formidable obstacle for free-space optical (FSO) communication. Anticipation of turbulence levels is highly important for mitigating disruptions. We study the application of machine learning (ML) to FSO data streams to r
Externí odkaz:
http://arxiv.org/abs/2405.16729
Autor:
Ibrahim, Mostafa, Ahmad, Arsalan, Ekin, Sabit, LoPresti, Peter, Altunc, Serhat, Kegege, Obadiah, O'Hara, John F.
Radio frequency (RF) communications offer reliable but low data rates and energy-inefficient satellite links, while free-space optical (FSO) promises high bandwidth but struggles with disturbances imposed by atmospheric effects. A hybrid RF/FSO archi
Externí odkaz:
http://arxiv.org/abs/2405.13366
The advent of Large Language Models (LLMs) has revolutionized language understanding and human-like text generation, drawing interest from many other fields with this question in mind: What else are the LLMs capable of? Despite their widespread adopt
Externí odkaz:
http://arxiv.org/abs/2405.13356
The performance of user-centric ultra-dense networks (UCUDNs) hinges on the Service zone (Szone) radius, which is an elastic parameter that balances the area spectral efficiency (ASE) and energy efficiency (EE) of the network. Accurately determining
Externí odkaz:
http://arxiv.org/abs/2402.15795
In this study, we present a deep learning-based approach for time-series respiration data classification. The dataset contains regular breathing patterns as well as various forms of abnormal breathing, obtained through non-contact incoherent light-wa
Externí odkaz:
http://arxiv.org/abs/2312.13035
Autor:
Rutherford, Matthew W., Whitacre, Brian E., Captain, Levi, Ekin, Sabit, Angle, Julie, Hensley, Tom, O'Hara, John F.
Contribution: Case study of a rural-focused educational program with two components: 1) introducing high school students and teachers to Smart and Connected Technologies (SCTs) that can be used to solve local problems; 2) engaging the local community
Externí odkaz:
http://arxiv.org/abs/2311.04327