Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Manuel M. Vindiola"'
Autor:
Joshua C. Crone, Manuel M. Vindiola, Alfred B. Yu, David L. Boothe, David Beeman, Kelvin S. Oie, Piotr J. Franaszczuk
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
In this paper, we evaluate the computational performance of the GEneral NEural SImulation System (GENESIS) for large scale simulations of neural networks. While many benchmark studies have been performed for large scale simulations with leaky integra
Externí odkaz:
https://doaj.org/article/411a465885904e1ba2bfd4d8bef63616
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV.
Publikováno v:
Disruptive Technologies in Information Sciences V.
The goal of this effort is to train Deep Learning (DL) models using synthetic Orthogonal Frequency-Division Multiplexing (OFDM) datasets to predict the modulation schemes of real OFDM signals without transfer learning. To facilitate our study, we gen
Publikováno v:
Disruptive Technologies in Information Sciences IV.
Machine Learning (ML) technologies have been widely used for blind signal classification problem (Modulation Classification) to automatically identify the modulation schemes of Radio Frequency (RF) signal from complex- valued IQ (In-phase Quadrature)
Autor:
Peng Wang, Manuel M. Vindiola
Publikováno v:
MILCOM
The Army Rapid Capabilities Office (RCO) sponsored a Blind Signal Classification Competition seeking Artificial Intelligence/Machine Learning (AI/ML) algorithms to automatically identify the modulation schemes of RF signal from complex-valued IQ (in-
Publikováno v:
AIPR
Robotic and vehicular autonomy in contested, dynamic environments has historically been limited to teleoperation and simple programmed behaviors due to the low survivability of available AI and machine-learning techniques in the face of novel situati
Autor:
Manuel M. Vindiola, John V. Monaco
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 65:1051-1062
The bound to factor large integers is dominated by the computational effort to discover numbers that are B-smooth, i.e., integers whose largest prime factor does not exceed B. Smooth numbers are traditionally discovered by sieving a polynomial sequen
Autor:
Piotr J. Franaszczuk, David Beeman, David L. Boothe, Joshua C. Crone, Manuel M. Vindiola, Alfred B. Yu, Kelvin S. Oie
Publikováno v:
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics, Vol 13 (2019)
Frontiers in Neuroinformatics, Vol 13 (2019)
In this paper, we evaluate the computational performance of the GEneral NEural SImulation System (GENESIS) for large scale simulations of neural networks. While many benchmark studies have been performed for large scale simulations with leaky integra
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
The Army Rapid Capabilities Office (RCO) sponsored a Blind Signal Classification Competition seeking algorithms to automatically identify the modulation schemes of RF signal from complex-valued IQ (in-phase quadrature) samples. Traditional spectrum s
Autor:
Bryan P. Dawson, Noah Weston, Jamie K. Infantolino, Manuel M. Vindiola, David C. Harman, Jared C. Willard
Publikováno v:
Disruptive Technologies in Information Sciences II.
This work develops a principled approach for coordinating decentralized systems that can exchange information, issue and service requests, and perform outcome-focused actions together. It harnesses the resiliency and robustness offered by blockchain