Results 11 to 20 of about 517,162 (287)
Convolutional Radio Modulation Recognition Networks [PDF]
, 2016 We study the adaptation of convolutional neural networks to the complex temporal radio signal domain. We compare the efficacy of radio modulation classification using naively learned features against using expert features which are widely used in the ...
C Clancy +4 more
core +2 more sources
On the benefits of robust models in modulation recognition [PDF]
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 2021 Given the rapid changes in telecommunication systems and their higher dependence on artificial intelligence, it is increasingly important to have models that can perform well under different, possibly adverse, conditions. Deep Neural Networks (DNNs) using convolutional layers are state-of-the-art in many tasks in communications.
Javier Maroto +2 more
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Deep architectures for modulation recognition [PDF]
2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2017 We survey the latest advances in machine learning with deep neural networks by applying them to the task of radio modulation recognition. Results show that radio modulation recognition is not limited by network depth and further work should focus on improving learned synchronization and equalization.
Nathan E. West, Timothy J. O'Shea
openaire +2 more sources
Modulation of Pathogen Recognition by Autophagy [PDF]
Frontiers in Immunology, 2012 Autophagy is an ancient biological process for maintaining cellular homeostasis by degradation of long-lived cytosolic proteins and organelles. Recent studies demonstrated that autophagy is availed by immune cells to regulate innate immunity. On the one hand, cells exert direct effector function by degrading intracellular pathogens; on the other hand ...
Oh, Ji Eun, Lee, Heung Kyu
openaire +3 more sources
Dynamic Equilibrium Module for Action Recognition [PDF]
IEEE Access, 2021 Temporal variations, such as sudden motion, acceleration and occlusions, occur frequently in real-world videos and force video-modeling networks to account for them. However. often they are not beneficial for recognizing actions at coarse granularity and thus may impede spatio-temporal learning.
Qili Zeng +2 more
openaire +2 more sources
Bidirectional Modulation of Recognition Memory [PDF]
The Journal of Neuroscience, 2015 Perirhinal cortex (PER) has a well established role in the familiarity-based recognition of individual items and objects. For example, animals and humans with perirhinal damage are unable to distinguish familiar from novel objects in recognition memory tasks.
Jonathan W. Ho +6 more
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A survey of deep learning based modulation recognition
Dianxin kexue, 2021 Modulation recognition is one of the fundamental tasks for communications systems, which can be widely applied in various fields, such as cognitive radio, intelligent communications, radio surveillance, electronic warfare, etc.In recent years, deep ...
Shujun SUN +3 more
doaj +2 more sources
Sensors, 2023 This paper researches the recognition of modulation signals in underwater acoustic communication, which is the fundamental prerequisite for achieving noncooperative underwater communication.
Maofa Wang, Zhenjing Zhu, Gaofeng Qian
doaj +1 more source
Co-receptor CD8-mediated modulation of T-cell receptor functional sensitivity and epitope recognition degeneracy [PDF]
, 2013 The interaction between T-cell receptors (TCRs) and peptide epitopes is highly degenerate: a TCR is capable of interacting productively with a wide range of different peptide ligands, involving not only cross-reactivity proper (similar epitopes elicit ...
Berg, Hugo van den +3 more
core +6 more sources
Underwater Communication Signal Recognition Using Sequence Convolutional Network
IEEE Access, 2021 Automatic modulation recognition (AMR) is one of the essential parts in the intelligent communication system. In the underwater acoustic communication, it is a challenging work that promptly and easily recognizes the signal modulation schemes by ...
Yan Wang +6 more
doaj +1 more source