Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Sheikhzadeh, Hamid"'
Publikováno v:
Engineering Applications of Artificial Intelligence.115(2022)
Typically, voice conversion is regarded as an engineering problem with limited training data. The reliance on massive amounts of data hinders the practical applicability of deep learning approaches, which have been extensively researched in recent ye
Externí odkaz:
http://arxiv.org/abs/2309.04420
This paper introduces a novel approach to active feature acquisition for classification, which is the task of sequentially selecting the most informative subset of features to achieve optimal prediction performance during testing while minimizing cos
Externí odkaz:
http://arxiv.org/abs/2306.14347
In this paper, we investigate a new machine learning-based transmission strategy called progressive transmission or ProgTr. In ProgTr, there are b variables that should be transmitted using at most T channel uses. The transmitter aims to send the dat
Externí odkaz:
http://arxiv.org/abs/2108.01643
Publikováno v:
In Journal of the Franklin Institute January 2024 361(1):99-109
In this paper, we present a downlink pilot design scheme for Deep Learning (DL) based channel estimation (ChannelNet) in orthogonal frequency-division multiplexing (OFDM) systems. Specifically, in the proposed scheme, a feature selection method named
Externí odkaz:
http://arxiv.org/abs/2003.08980
Channel, as the medium for the propagation of electromagnetic waves, is one of the most important parts of a communication system. Being aware of how the channel affects the propagation waves is essential for designing, optimization and performance a
Externí odkaz:
http://arxiv.org/abs/1908.06767
High-dimensional data in many machine learning applications leads to computational and analytical complexities. Feature selection provides an effective way for solving these problems by removing irrelevant and redundant features, thus reducing model
Externí odkaz:
http://arxiv.org/abs/1903.07045
In this paper, we present a deep learning (DL) algorithm for channel estimation in communication systems. We consider the time-frequency response of a fast fading communication channel as a two-dimensional image. The aim is to find the unknown values
Externí odkaz:
http://arxiv.org/abs/1810.05893
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2022 115
Publikováno v:
In Automation in Construction December 2021 132