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Mostrando 661 - 680 Resultados de 5,671 Para Buscar '"imagery"', tiempo de consulta: 0.18s Limitar resultados
  1. 661
    “…With such cameras, the acquired imagery has a compromised RGB color representation due to near-infrared bands (700–1100 nm) cross-talking with the visible bands (400–700 nm). …”
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    Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images
  2. 662
    “…Implemented as a standalone motor imagery (MI) training system or as part of a rehabilitation robotic system, many studies have shown benefits of using them to restore motor control in stroke patients. …”
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    Comparison of EEG measurement of upper limb movement in motor imagery training system
  3. 663
    “…These unusual experiences have been said to resemble ‘normal’ colour perception or colour imagery, but studying the nature of synaesthesia remains difficult. …”
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    Exploring the functional nature of synaesthetic colour: Dissociations from colour perception and imagery
  4. 664
    “…Motor imagery is the mental representation of an action without overt movement or muscle activation. …”
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    Motor imagery training induces changes in brain neural networks in stroke patients
  5. 665
    “…Motor imagery, that is the mental rehearsal of a motor skill, can lead to improvements when performing the same skill. …”
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    Imagery of movements immediately following performance allows learning of motor skills that interfere
  6. 666
    “…The results demonstrate that the LSP can estimate relative robust PSD features and the proposed scheme can significantly improve the decoding performance for the incomplete motor imagery EEG. This scheme can provide an alternative decoding solution for the motor imagery EEG contaminated by extreme artifacts and data loss. …”
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    A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network
  7. 667
    “…The dataset contains 60 h of EEG recordings, 13 participants, 75 recording sessions, 201 individual EEG BCI interaction session-segments, and over 60 000 examples of motor imageries in 4 interaction paradigms. The current dataset presents one of the largest EEG BCI datasets publically available to date.…”
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    A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces
  8. 668
    por Paccaud, Philippe, Barry, D. A.
    Publicado 2018
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    Obstacle detection for lake-deployed autonomous surface vehicles using RGB imagery
  9. 669
    “…The difference in vegetation index (dVI) derived from Landsat 8 was used as the change detection indicator and was further calibrated with Unmanned Aerial Vehicle (UAV) imagery. Regression models between predicted dVIs and observed defoliation degrees by UAV were compared among five selected dVIs for the coefficient of determination. …”
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    Calibrating the Severity of Forest Defoliation by Pine Processionary Moth with Landsat and UAV Imagery
  10. 670
    “…Classification of motor imagery (MI) electroencephalogram (EEG) plays a vital role in brain-computer interface (BCI) systems. …”
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    Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification
  11. 671
    “…However, the Ground Control Points (GCPs) are essential to ensure the accuracy of mapping for GF-3 SAR imagery at present. In this paper, we analyze the error sources that affect the geometric processing and propose a new block adjustment method without GCPs for GF-3 SAR imagery. …”
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    Block Adjustment without GCPs for Chinese Spaceborne SAR GF-3 Imagery
  12. 672
    por Li, Xi, Zhao, Lixian, Li, Deren, Xu, Huimin
    Publicado 2018
    “…In this paper, using Luojia 1-01 and VIIRS nighttime light imagery, we compared several methods for extracting urban areas, including Human Settlement Index (HSI), Simple Thresholding Segmentation (STS) and SVM supervised classification. …”
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    Mapping Urban Extent Using Luojia 1-01 Nighttime Light Imagery
  13. 673
    “…OBJECTIVE: to evaluate the effect of relaxation therapy with guided imagery on state anxiety and cortisol in the immediate preoperative period in patients submitted to bariatric surgery by videolaparoscopy. …”
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    Guided imagery relaxation therapy on preoperative anxiety: a randomized clinical trial
  14. 674
    “…NFB enhanced the effect of reward imagery but did not result in transfer effects at the end of the session. …”
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    Self-regulation of the dopaminergic reward circuit in cocaine users with mental imagery and neurofeedback
  15. 675
    “…INTRODUCTION: Motor imagery (MI) is a very popular and well-accepted technique in different disciplines. …”
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    Motor imagery ability assessments in four disciplines: protocol for a systematic review
  16. 676
    “…In this paper, we propose a variational pansharpening method for HS imagery constrained by spectral shape and Gram–Schmidt (GS) transformation. …”
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    Variational Pansharpening for Hyperspectral Imagery Constrained by Spectral Shape and Gram–Schmidt Transformation †
  17. 677
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    A Combined Quantitative Evaluation Model for the Capability of Hyperspectral Imagery for Mineral Mapping
  18. 678
    por Guan, Shan, Zhao, Kai, Yang, Shuning
    Publicado 2019
    “…This paper proposes a novel classification framework and a novel data reduction method to distinguish multiclass motor imagery (MI) electroencephalography (EEG) for brain computer interface (BCI) based on the manifold of covariance matrices in a Riemannian perspective. …”
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    Motor Imagery EEG Classification Based on Decision Tree Framework and Riemannian Geometry
  19. 679
    “…Successful applications of brain-computer interface (BCI) approaches to motor imagery (MI) are still limited. In this paper, we propose a classification framework for MI electroencephalogram (EEG) signals that combines a convolutional neural network (CNN) architecture with a variational autoencoder (VAE) for classification. …”
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    EEG Classification of Motor Imagery Using a Novel Deep Learning Framework
  20. 680
    “…The present study investigated an unresolved issue in this field – namely, the effects of expertise on motor imagery (MI; or the mental rehearsal of actions without engaging in the actual movements involved) and attentional effort (as measured by pupil dilation) on dancers while they engaged in the processes of learning, performing, and imagining a dance movement. …”
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    Learning Choreography: An Investigation of Motor Imagery, Attentional Effort, and Expertise in Modern Dance
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