“…Aim: The aim of this study was to differentiate the effects of spinal cord injury (SCI) and central neuropathic pain (CNP) on effective connectivity during motor imagery of legs, where CNP is typically experienced. …”
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“…Many studies have used motor imagery-based brain–computer interface (MI-BCI) systems for stroke rehabilitation to induce brain plasticity. …”
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“…The combination of satellite imagery and deep machine learning now has the capability to estimate some types of poverty at a level close to what is achieved with traditional household surveys. …”
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“…We test the somewhat counter-intuitive expectation that support for populist radical right (PRR) parties at the national level is associated with public support for ethno-traditional cues—a frequent feature in PRR imagery and nativist discourse—abroad. We do so by leveraging a large-scale comparative dataset that covers voting patterns during the Eurovision Song Contest (ESC) between 1999 and 2019. …”
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“…This study presents vegetation land cover mapping based on Remote Sensing (RS) data processing, including satellite imagery scenes from Sentinel-2A, ASTER, and Landsat, in order to show the spatio-temporal correlation between the climate and environmental setting in Morocco. …”
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“…Mass production of high-quality synthetic SAR training imagery is essential for boosting the performance of deep-learning (DL)-based SAR automatic target recognition (ATR) algorithms in an open-world environment. …”
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“…The relative strengths and weaknesses of the algorithms are discussed, as well as their application to more complex real-world imagery.…”
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“…Moreover, they acknowledged the non-contingency between imagery and feedback, reflecting the impact on motivation. …”
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“…This volume covers Gaussian imagery, paraxial optics, first-order optical system design, system examples, illumination, chromatic effects, and an introduction to aberrations. …”
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“…Covers several hot topics in current research of electromagnetic scattering, and radiative transfer in complex and random media, polarimetric scattering and SAR imagery technology, data validation and information retrieval from space-borne remote sensing, computational electromagnetics, etc.Including both forward modelling and inverse problems, analytic theory and numerical approachesAn overall summary of the author's works during most recent yearsAlso presents some insight for future research topics.…”
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“…"It is a showcase of particle imagery, from early cloud chamber and emulsion photographs to the latest computer graphic displays. …”
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“…This book focuses on imagery and vision problems that can be clearly written in terms of an inverse problem where an estimate for the image a…”
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“…Taking an innovative look at Synthetic Aperture Radar (SAR), this practical reference fully covers new developments in SAR and its various methodologies and enables readers to interpret SAR imagery An essential reference on polarimetric Synthetic Aperture Radar (SAR), this book uses scattering theory and radiative transfer theory as a basis for its treatment of topics. …”
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“…The author argues that true conscious machines can be built, but rejects artificial intelligence and classical neural networks in favour of the emulation of the cognitive processes of the brain-the flow of inner speech, inner imagery and emotions. This results in a non-numeric meaning-processing machine with distributed information representation and system reactions. …”
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“…Convolutional Neural Networks (CNN) trained on satellite imagery are emerging as one of the most popular and effective approaches. …”
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“…Firstly, wide area assessment using shorelines extracted from a time-series of medium-resolution Landsat imagery. Secondly, site-specific assessment using recent and historic Very High Resolution (VHR) satellite imagery. …”
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“…The study presents a constellation design that provides imagery in the optic range and that might supplement the point water quality measurements that are conducted in situ. …”
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“…However, such activation in the anterior portion of the ventral visual pathway could be due to the conceptual representation of an object or visual imagery triggered by touching an object. We addressed these possibilities by directly comparing shape and conceptual representations of objects in early blind (who lack visual experience/imagery) and sighted participants. …”
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“…Classic methods of processing satellite imagery based on thresholding or simple segmentation are not sufficient because, in most cases, satellite scenes are not spectrally heterogenous. …”
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“…However, there are a series of technical difficulties in the research of motor imagery-based brain–computer interface (MI-BCI) systems, such as: large individual differences in subjects and poor performance of the cross-subject classification model; a low signal-to-noise ratio of EEG signals and poor classification accuracy; and the poor online performance of the MI-BCI system. …”
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