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  1. 1021
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    Improved Agricultural Field Segmentation in Satellite Imagery Using TL-ResUNet Architecture
  2. 1022
    “…INTRODUCTION: Electroencephalogram (EEG)-based motor imagery (MI) classification is an important aspect in brain-computer interfaces (BCIs), which bridges between neural system and computer devices decoding brain signals into recognizable machine commands. …”
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    Classification of motor imagery electroencephalogram signals by using adaptive cross-subject transfer learning
  3. 1023
    “…Action-imagery practice (AIP) is often less effective than action-execution practice (AEP). …”
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    Sequence representations after action-imagery practice of one-finger movements are effector-independent
  4. 1024
    “…Then, we developed a low-cost approach for counting rapeseed inflorescences using YOLOv5 with the Convolutional Block Attention Module (CBAM) based on unmanned aerial vehicle (UAV) Red–Green–Blue (RGB) imagery. Moreover, we constructed a Rapeseed Inflorescence Benchmark (RIB) to verify the effectiveness of our model. …”
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    Automatic counting of rapeseed inflorescences using deep learning method and UAV RGB imagery
  5. 1025
    “…We find that spatial imagery can be co-constructed from the material space, mental space, and relational space. …”
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    Reproduction, cultural symbolism, and online relationship: Constructing city spatial imagery on TikTok
  6. 1026
    por Xie, Yu, Oniga, Stefan
    Publicado 2023
    “…In brain–computer interface (BCI) systems, motor imagery electroencephalography (MI-EEG) signals are commonly used to detect participant intent. …”
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    Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks
  7. 1027
    “…However, there is no report on the specific use of first-person and third-person imagery in stroke rehabilitation. AIMS: To develop and assess the feasibility of the First-Person Mental Imagery (FPMI) and the Third-Person Mental Imagery (TPMI) programs to address the hand function of people with stroke living in the community. …”
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    Development and feasibility of first- and third-person motor imagery for people with stroke living in the community
  8. 1028
    “…The mental tasks were based on two simple movements that are recorded in the revised movement imagery questionnaire in third-person perspective. …”
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    Combining motor imagery with action observation training does not lead to a greater autonomic nervous system response than motor imagery alone during simple and functional movements: a randomized controlled trial
  9. 1029
    “…Methods: An RCT with two parallel groups design will be used to compare the clinical efficacy and cost-effectiveness of “standalone” imagery rescripting (n = 63) with integrated imagery rescripting and schema therapy (n = 63). …”
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    Clinical Efficacy and Cost-Effectiveness of Imagery Rescripting Only Compared to Imagery Rescripting and Schema Therapy in Adult Patients With PTSD and Comorbid Cluster C Personality Disorder: Study Design of a Randomized Controlled Trial
  10. 1030
    “…Using these locations and remotely-sensed NAIP (National Agricultural Imagery Program) imagery, we 1) determined which characteristics of brood-rearing habitat could be used in widely available, high resolution imagery 2) assessed the spatial extent at which sage-grouse selected brood-rearing habitat, and 3) created a predictive habitat model to identify areas of preferred brood-rearing habitat. …”
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    Assessing Greater Sage-Grouse Selection of Brood-Rearing Habitat Using Remotely-Sensed Imagery: Can Readily Available High-Resolution Imagery Be Used to Identify Brood-Rearing Habitat Across a Broad Landscape?
  11. 1031
    “…Within this context, this paper proposes a systematic review of EEG-based BCIs, focusing on one of the most promising paradigms based on motor imagery (MI) and limiting the analysis to applications that adopt wearable devices. …”
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    EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review
  12. 1032
    por Wu, Yiheng, Li, Jianjun
    Publicado 2023
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    YOLOv4 with Deformable-Embedding-Transformer Feature Extractor for Exact Object Detection in Aerial Imagery
  13. 1033
    “…In this paper, a new imagery dataset S-BIRD (Sewer-Blockages Imagery Recognition Dataset) is presented to draw attention to the predominant sewers’ blockages issue caused by grease, plastic and tree roots. …”
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    S-BIRD: A Novel Critical Multi-Class Imagery Dataset for Sewer Monitoring and Maintenance Systems
  14. 1034
    “…This paper develops a novel procedure for proxying economic activity with daytime satellite imagery across time periods and spatial units, for which reliable data on economic activity are otherwise not available. …”
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    Proxying economic activity with daytime satellite imagery: Filling data gaps across time and space
  15. 1035
    “…INTRODUCTION: The extent of the population’s exposure to tobacco imagery across all genres of regular TV programming and the contribution of each of these genres is unknown, except for UK broadcast channels. …”
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    Exposure of 4-year to 24-year olds to tobacco imagery on prime-time Chilean television
  16. 1036
    “…With the advent of open-access satellite imagery and its ever-increasing resolution, it can support innovative methodologies that could eventually lead to the quantification of greenhouse gas emissions. …”
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    BoatNet: automated small boat composition detection using deep learning on satellite imagery
  17. 1037
    “…The current paper presents a database designed with an experimental protocol aiming to assess not only motor imagery during the control of the device, but also the attention to gait on flat and inclined surfaces. …”
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    An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
  18. 1038
    “…BACKGROUND: Mental imagery (MI) can enhance surgical skills. Research has shown that through brain–computer interface (BCI), it is possible to provide feedback on MI strength. …”
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    Augmenting mental imagery for robotic surgery using neurofeedback: results of a randomized controlled trial
  19. 1039
    “…In recent studies, in the field of Brain-Computer Interface (BCI), researchers have focused on Motor Imagery tasks. Motor Imagery-based electroencephalogram (EEG) signals provide the interaction and communication between the paralyzed patients and the outside world for moving and controlling external devices such as wheelchair and moving cursors. …”
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    Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs
  20. 1040
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    Retracted: Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery
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