Results 11 to 20 of about 3,807,942 (299)
A degradation signal recognition in prokaryotes [PDF]
Journal of Synchrotron Radiation, 2008 The degradation of ssrA-tagged substrates in prokaryotes is conducted by a subset of ATP-dependent proteases, including ClpXP complex. More than 630 sequences of ssrA have been identified from 514 species, and are conserved in a wide range of prokaryotes.
Park, Eun Young, Song, Hyun Kyu
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Enhanced Multiple Instance Representation Using Time-Frequency Atoms in Motor Imagery Classification
Frontiers in Neuroscience, 2020 Selection of the time-window mainly affects the effectiveness of piecewise feature extraction procedures. We present an enhanced bag-of-patterns representation that allows capturing the higher-level structures of brain dynamics within a wide window range.
Diego Collazos-Huertas +3 more
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Applied Sciences, 2022 Brain activity stimulated by the motor imagery paradigm (MI) is measured by Electroencephalography (EEG), which has several advantages to be implemented with the widely used Brain–Computer Interfaces (BCIs) technology.
Diego F. Collazos-Huertas +2 more
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Sensors, 2022 The Electroencephalography (EEG)-based motor imagery (MI) paradigm is one of the most studied technologies for Brain-Computer Interface (BCI) development.
Mateo Tobón-Henao +2 more
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Recognition of signal sequences
FEBS Letters, 1983 The hypothesis assumes that every continuous, entirely hydrophobic sequence of sufficient length, which is not involved in strong intramolecular contacts with other parts of the nascent protein chain, will function as a signal for translocation across the endoplasmic reticulum membrane or across the inner bacterial membrane.
Finkelstein, Alexei V. +2 more
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Sensors, 2021 Motor learning is associated with functional brain plasticity, involving specific functional connectivity changes in the neural networks. However, the degree of learning new motor skills varies among individuals, which is mainly due to the between ...
Daniel Guillermo García-Murillo +2 more
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, 2022 Electrocardiogram (ECG) signals have been widely used to diagnose heart arrhythmias. In order to detect these arrhythmias using ECG signals, many machine learning methods have been presented.
Subasi, Abdulhamit +3 more
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Detection and Diagnosis of Rolling Element Bearing Faults Using Time Encoded Signal Processing and Recognition [PDF]
This thesis presents a systematic study of using TESPAR (Time Encoded Signal Processing and Recognition), which presently is in use as an effective tool for speech recognition and shows great advantages in computational demands and accuracy, to develop a
Abdusslam, Shukri Ali
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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
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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
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