Zobrazeno 1 - 10
of 2 419
pro vyhledávání: '"Gross, James A."'
Autor:
Roy, Neelabhro, Dhullipalla, Mani H., Sharma, Gourav Prateek, Dimarogonas, Dimos V., Gross, James
With the increasing focus on flexible automation, which emphasizes systems capable of adapting to varied tasks and conditions, exploring future deployments of cloud and edge-based network infrastructures in robotic systems becomes crucial. This work,
Externí odkaz:
http://arxiv.org/abs/2411.07405
With the emergence of time-critical applications in modern communication networks, there is a growing demand for proactive network adaptation and quality of service (QoS) prediction. However, a fundamental question remains largely unexplored: how can
Externí odkaz:
http://arxiv.org/abs/2408.13196
Autor:
Islam, Taimoor Ul, Boateng, Joshua Ofori, Nadim, Md, Zu, Guoying, Shahid, Mukaram, Li, Xun, Zhang, Tianyi, Reddy, Salil, Xu, Wei, Atalar, Ataberk, Lee, Vincent, Chen, Yung-Fu, Gosling, Evan, Permatasari, Elisabeth, Somiah, Christ, Meng, Zhibo, Babu, Sarath, Soliman, Mohammed, Hussain, Ali, Qiao, Daji, Zheng, Mai, Boyraz, Ozdal, Guan, Yong, Arora, Anish, Selim, Mohamed, Ahmad, Arsalan, Cohen, Myra B., Luby, Mike, Chandra, Ranveer, Gross, James, Zhang, Hongwei
To address the rural broadband challenge and to leverage the unique opportunities that rural regions provide for piloting advanced wireless applications, we design and implement the ARA wireless living lab for research and innovation in rural wireles
Externí odkaz:
http://arxiv.org/abs/2408.00913
Large language model (LLM) chatbots are susceptible to biases and hallucinations, but current evaluations of mental wellness technologies lack comprehensive case studies to evaluate their practical applications. Here, we address this gap by introduci
Externí odkaz:
http://arxiv.org/abs/2407.11387
Autor:
Mostafavi, Samie, Moothedath, Vishnu Narayanan, Rönngren, Stefan, Roy, Neelabhro, Sharma, Gourav Prateek, Seo, Sangwon, Muñoz, Manuel Olguín, Gross, James
This paper presents ExPECA, an edge computing and wireless communication research testbed designed to tackle two pressing challenges: comprehensive end-to-end experimentation and high levels of experimental reproducibility. Leveraging OpenStack-based
Externí odkaz:
http://arxiv.org/abs/2311.01279
With the emergence of new application areas, such as cyber-physical systems and human-in-the-loop applications, there is a need to guarantee a certain level of end-to-end network latency with extremely high reliability, e.g., 99.999%. While mechanism
Externí odkaz:
http://arxiv.org/abs/2307.10648
End-to-end learning for wireless communications has recently attracted much interest in the community, owing to the emergence of deep learning-based architectures for the physical layer. Neural network-based autoencoders have been proposed as potenti
Externí odkaz:
http://arxiv.org/abs/2305.03877
Autor:
Al-Atat, Ghina, Fresa, Andrea, Behera, Adarsh Prasad, Moothedath, Vishnu Narayanan, Gross, James, Champati, Jaya Prakash
Resource-constrained Edge Devices (EDs), e.g., IoT sensors and microcontroller units, are expected to make intelligent decisions using Deep Learning (DL) inference at the edge of the network. Toward this end, there is a significant research effort in
Externí odkaz:
http://arxiv.org/abs/2304.11763
Autor:
Alsakati, Molham, Pettersson, Charlie, Max, Sebastian, Moothedath, Vishnu Narayanan, Gross, James
Since its first release in the late 1990s, Wi-Fi has been updated to keep up with evolving user needs. Recently, Wi-Fi and other radio access technologies have been pushed to their edge when serving Augmented Reality (AR) applications. AR application
Externí odkaz:
http://arxiv.org/abs/2304.01693