Results 21 to 30 of about 1,676,212 (286)
Signal recognition particle binds to translating ribosomes before emergence of a signal anchor sequence. [PDF]
, 2017 The bacterial signal recognition particle (SRP) is part of the machinery that targets ribosomes synthesizing membrane proteins to membrane-embedded translocons co-translationally. Recognition of nascent membrane proteins occurs by virtue of a hydrophobic
Holtkamp, W. +3 more
core +2 more sources
Speaker Re-identification with Speaker Dependent Speech Enhancement [PDF]
, 2020 While the use of deep neural networks has significantly boosted speaker recognition performance, it is still challenging to separate speakers in poor acoustic environments.
Hain, Thomas, Huang, Qiang, Shi, Yanpei
core +2 more sources
New hos-based parameter estimation methods for speech recognition in noisy environments [PDF]
, 1995 The problem of recognition in noisy environments is addressed. Often, a recognition system is used in a noisy environment and there is no possibility of training it with noisy samples.
Moreno Bilbao, M. Asunción +3 more
core +1 more source
Applied Sciences, 2021 Vibration-condition monitoring aims to detect bearing damages of rotating machinery’s incipient failures mainly through time–frequency methods because of their efficient analysis of nonstationary signals. However, by having failures with impulse behavior,
Edgar F. Sierra-Alonso +4 more
doaj +1 more source
Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification
Sensors, 2023 Supervised learning requires the accurate labeling of instances, usually provided by an expert. Crowdsourcing platforms offer a practical and cost-effective alternative for large datasets when individual annotation is impractical.
Jenniffer Carolina Triana-Martinez +4 more
doaj +1 more source
Entropy, 2020 Assessment of brain dynamics elicited by motor imagery (MI) tasks contributes to clinical and learning applications. In this regard, Event-Related Desynchronization/Synchronization (ERD/S) is computed from Electroencephalographic signals, which show ...
Luisa Velasquez-Martinez +2 more
doaj +1 more source
Sensors, 2023 Motor Imagery (MI) refers to imagining the mental representation of motor movements without overt motor activity, enhancing physical action execution and neural plasticity with potential applications in medical and professional fields like rehabilitation
Diego Fabian Collazos-Huertas +4 more
doaj +1 more source
Remote Sensing, 2020 Individual tree detection (ITD) locates plants from images to estimate monitoring parameters, helping the management of forestry and agriculture systems.
Daniel G. García-Murillo +2 more
doaj +1 more source
A modular self-assembled sensing system for heavy metal ions with tunable sensitivity and selectivity [PDF]
, 2017 Here we describe a self-assembled sensing system composed of three separate modules: gold nano particles, a reporter element, and a recognition element. The gold nanoparticles serve as a multivalent platform for the interaction with both the reporter and
Maiti, Subhabrata, Prins, Leonard J.
core +1 more source
Performance of the MIND detector at a Neutrino Factory using realistic muon reconstruction [PDF]
, 2010 A Neutrino Factory producing an intense beam composed of nu_e(nubar_e) and nubar_mu(nu_mu) from muon decays has been shown to have the greatest sensitivity to the two currently unmeasured neutrino mixing parameters, theta_13 and delta_CP .
A. Cervera +27 more
core +2 more sources