Results 21 to 30 of about 633,090 (317)
Binding of chloroplast signal recognition particle to a thylakoid membrane protein substrate in aqueous solution and delineation of the cpSRP43–substrate interaction domain [PDF]
, 2011 A cpSRP [chloroplast SRP (signal recognition particle)] comprising cpSRP54 and cpSRP43 subunits mediates the insertion of light-harvesting proteins into the thylakoid membrane. We dissected its interaction with a full-length membrane protein substrate in
Colin Robinson +15 more
core +1 more source
Sensors, 2021 Motor imaging (MI) induces recovery and neuroplasticity in neurophysical regulation. However, a non-negligible portion of users presents insufficient coordination skills of sensorimotor cortex control.
Julian Caicedo-Acosta +4 more
doaj +1 more source
Emotion Recognition by Physiological Signals
Electronic Imaging, 2016 Recently, User’s effective state automatic recognition has become a popular research area. It has many applications ranging from health, education, and personalization. In this paper, emotional state arousal and valence induced by watching video clips are identified by physiological and electroencephalogram (EEG) signals by .
Naeem Ramzan +4 more
openaire +2 more sources
SVMs for Automatic Speech Recognition: a Survey [PDF]
, 2007 Hidden Markov Models (HMMs) are, undoubtedly, the most employed core technique for Automatic Speech Recognition (ASR). Nevertheless, we are still far from achieving high-performance ASR systems.
Peláez-Moreno, Carmen +8 more
core +1 more source
Articulatory feature recognition using dynamic Bayesian networks [PDF]
, 2007 We describe a dynamic Bayesian network for articulatory feature recognition. The model is intended to be a component of a speech recognizer that avoids the problems of conventional ``beads-on-a-string'' phoneme-based models. We demonstrate that the model
Simon King +8 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
Gait recognition under carrying condition : a static dynamic fusion method [PDF]
, 2012 When an individual carries an object, such as a briefcase, conventional gait recognition algorithms based on average silhouette/Gait Energy Image (GEI) do not always perform well as the object carried may have the potential of being mistakenly regarded ...
Hu, Yongjian +5 more
core +1 more source
SPECTRA: a tool for enhanced brain wave signal recognition.
, 2021 BACKGROUND: Brain wave signal recognition has gained increased attention in neuro-rehabilitation applications. This has driven the development of brain-computer interface (BCI) systems.
Kumar, Shiu +2 more
core +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