Results 31 to 40 of about 633,090 (317)
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
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Curriculum learning for face recognition
, 2021 We present a novel curriculum learning (CL) algorithm for face recognition using convolutional neural networks. Curriculum learning is inspired by the fact that humans learn better, when the presented information is organized in a way that covers the ...
core +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
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The Signal Recognition Particle Database (SRPDB) [PDF]
Nucleic Acids Research, 1993 This release of the SRPDB (signal recognition particle database, http://pegasus.uthct.edu/SRPDB/SRPDB . html ) adds four SRP RNA sequences (a total of 99 SRP RNA sequences), 23 SRP protein sequences (a total of 63 protein sequences from SRP9, SRP14, SRP19, SRP21, SRP54, SRP68 or SRP72), and, for the first time, sequences of the alpha subunit of the ...
Niels Larsen +2 more
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Signal Processing for Robust Speech Recognition [PDF]
Proceedings of the workshop on Human Language Technology - HLT '94, 1994 This paper describes a series of cepstral-based compensation procedures that render the SPHINX-II system more robust with respect to acoustical environment. The first algorithm, phone-dependent cepstral compensation, is similar in concept to the previously-described MFCDCN method, except that cepstral compensation vectors are selected according to the ...
Richard M. Stern +3 more
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ComputationAddressing unemployment is essential for formulating effective public policies. In particular, socioeconomic and monetary variables serve as essential indicators for anticipating labor market trends, given their strong influence on employment dynamics ...
Diego Armando Pérez-Rosero +4 more
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A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments
Sensors, 2023 An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation.
Yeison Nolberto Cardona-Álvarez +4 more
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ComputersMaternal health care during labor requires the continuous and reliable monitoring of analgesic procedures, yet conventional systems are often subjective, indirect, and operator-dependent.
Lucas Miguel Iturriago-Salas +4 more
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Sensors, 2021 Motion capture (Mocap) data are widely used as time series to study human movement. Indeed, animation movies, video games, and biomechanical systems for rehabilitation are significant applications related to Mocap data. However, classifying multi-channel
Cristian Kaori Valencia-Marin +4 more
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Signaling Games with Pattern Recognition [PDF]
SSRN Electronic Journal, 2010 The classical model of signaling games assumes that the receiver exactly know the type space (private information) of the sender and be able to discriminate each type of the sender distinctly. However, the justification of this assumption is questionable. It is more reasonable to let the receiver recognize the pattern of the sender.
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