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  1. 3601
    “…Extensive experiments were conducted using benchmark and multiclass motor imagery EEG datasets to evaluate the efficacy of the proposed method. …”
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    Online Artículo Texto
    Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces
  2. 3602
    “…METHODS: The study was retrospective descriptive in the Medical Imagery Centre of CHUJRA. RESULTS: A total of 29 patients showed upper and/or lower digestive hemorrhage and a positive result in schistosomiasis serology. …”
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    Contribution of Ultrasonography in the Diagnosis of Periportal Fibrosis Caused by Schistosomiasis
  3. 3603
    “…Large-scale land cover classification from satellite imagery is still a challenge due to the big volume of data to be processed, to persistent cloud-cover in cloud-prone areas as well as seasonal artefacts that affect spatial homogeneity. …”
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    Online Artículo Texto
    A global cloud free pixel- based image composite from Sentinel-2 data
  4. 3604
    “…Ten participants (age 55 years, 60% male, 70% non-Caucasian, 60% income < $25,000) attended and rotated through three stations and completed questionnaires to evaluate survey content, advertisement imagery and taglines, and ability to access and navigate the survey platform. …”
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    Online Artículo Texto
    Eliciting perspectives of the key study population: An effective strategy to inform advertisement, content and usability of an online survey for a national investigation
  5. 3605
    “…RESULTS: Mask‐making, as a trauma‐focused group‐art therapy directive, expanded the understanding of treatment progress reflected in journal notes, mask imagery, and by a change in linguistic indices of trauma processing, despite an overall increase in PTSD symptoms as he confronted his traumatic experiences. …”
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    A case analysis of service‐member trauma processing related to art therapy within a military‐intensive outpatient program
  6. 3606
    “…We used remote sensing imagery and randomly selected ground-true points for four types of land covers (built, grass, deciduous, evergreen) to generate 1980 classification maps using MaxEnt. …”
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    Land-Cover Classification Using MaxEnt: Can We Trust in Model Quality Metrics for Estimating Classification Accuracy?
  7. 3607
    “…In this paper, we present a high-throughput phenotyping approach for the estimation of Above-Ground Biomass Dynamics (AGBD) using an unmanned aerial system. Multispectral imagery was acquired and processed by using the proposed segmentation method called GFKuts, that optimally labels the plot canopy based on a Gaussian mixture model, a Montecarlo based K-means, and a guided image filtering. …”
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    Online Artículo Texto
    A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops
  8. 3608
    “…Conventional approaches based on surveys can be time-consuming and costly, while data derived from satellite imagery represent proxies focused on biological processes (such as rainfall and crop growth) lack granularity in terms of human behaviors. …”
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    Using mobile phone data helps estimate community-level food insecurity: Findings from a multi-year panel study in Nepal
  9. 3609
    “…High-severity maps were generated from Landsat remote sensing imagery. Total and proportional high-severity burned area increased through time. …”
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    High-severity wildfires in temperate Australian forests have increased in extent and aggregation in recent decades
  10. 3610
    “…We evaluated three different full convolutional neural network (F–CNN) models (U-Net, SegNet, and DenseNet) with deep neural architecture to detect functional field boundaries from the very high resolution (VHR) WorldView-3 satellite imagery from Southern Bangladesh. The precision of the three F–CNN was up to 0.8, and among the three F–CNN models, the highest precision, recalls, and F-1 score was obtained using a DenseNet model. …”
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    Detecting functional field units from satellite images in smallholder farming systems using a deep learning based computer vision approach: A case study from Bangladesh
  11. 3611
    “…Imbalanced learning is a common problem in remote sensing imagery-based land-use and land-cover classifications. …”
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    An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images
  12. 3612
    “…Neuropsychological tests of creativity, including the alternative uses task (AUT), test of creative imagery abilities (TCIA), remote associates test (RAT), and creative achievement questionnaire (CAQ), as well as diffusion MRI data were acquired for each participant. …”
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    Intact microstructure of the right corticostriatal pathway predicts creative ability in healthy adults
  13. 3613
    “…To meet the needs of modern remote sensing, the authors present an innovative methodology of combining multispectral aerial and satellite imagery. The methodology is based on the simulation of a new spectral band with a high spatial resolution which, when used in the pansharpening process, yields an enhanced image with a higher spectral quality compared to the original panchromatic band. …”
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    Online Artículo Texto
    Multi-Sensor Fusion: A Simulation Approach to Pansharpening Aerial and Satellite Images
  14. 3614
    “…Here, we explored how these different factors influence the sense of agency across two studies in which participants learned to control a robotic hand through motor imagery decoded online through electroencephalography. …”
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    Online Artículo Texto
    How using brain-machine interfaces influences the human sense of agency
  15. 3615
    “…RESULTS: This analysis revealed three dimensions of thought content: self‐referential thought, negative thoughts about one's surroundings, and thoughts in the form of imagery. A network of connections within the sensorimotor cortices negatively correlated with self‐generated thoughts concerning the self was observed (p = .0081, .0486 FDR). …”
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    Intrasubject functional connectivity related to self‐generated thoughts
  16. 3616
    “…We aim to conduct two independent studies in order to evaluate the efficacy of transcranial direct current stimulation (tDCS) and mental representation protocol in the management of pain in PD patients during the ON state: (1) tDCS over the Primary Motor Cortex (M1); and (2) Action Observation (AO) and Motor Imagery (MI) training through a Brain-Computer Interface (BCI) using Virtual Reality (AO + MI-BCI). …”
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    New Approaches Based on Non-Invasive Brain Stimulation and Mental Representation Techniques Targeting Pain in Parkinson’s Disease Patients: Two Study Protocols for Two Randomized Controlled Trials
  17. 3617
    “…Sensorimotor rhythm (SMR)-based brain–computer interfaces (BCIs) provide an alternative pathway for users to perform motor control using motor imagery. Despite the non-invasiveness, ease of use, and low cost, this kind of BCI has limitations due to long training times and BCI inefficiency—that is, the SMR BCI control paradigm may not work well on a subpopulation of users. …”
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    Online Artículo Texto
    Effects of Long-Term Meditation Practices on Sensorimotor Rhythm-Based Brain-Computer Interface Learning
  18. 3618
    “…Various factors, including elevation, slope angle, slope aspect, flow accumulation, flow direction, topographic wetness index (TWI), drainage density, rainfall, and normalized difference vegetation index, were generated using a digital elevation model and LANDSAT 8 imagery. Historical flood data from 2015 to 2019, including 307 flood events, were adopted for a comparison of flood susceptibility. …”
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    A GIS-Based Artificial Neural Network Model for Flood Susceptibility Assessment
  19. 3619
    por Pereira, Henrique, Esgalhado, Graça
    Publicado 2021
    “…The survey included four categories of questions/measurements, encompassing demographic information, SEOM use, explicit imagery of protected/unprotected anal sex and sexual behavior. …”
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    Sexually Explicit Online Media Use and Sexual Behavior among Sexual Minority Men in Portugal
  20. 3620
    “…To address the issue of quality imbalance between the heterogeneous imagery, we propose to compensate it by upgrading the lower-quality IR faces. …”
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    Online Artículo Texto
    Balancing Heterogeneous Image Quality for Improved Cross-Spectral Face Recognition
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