Results 41 to 50 of about 1,199,829 (349)
eLife, 2022 The pupillary light response is an important automatic physiological response which optimizes light reaching the retina. Recent work has shown that the pupil also adjusts in response to illusory brightness and a range of cognitive functions, however, it ...
Lachlan Kay +3 more
semanticscholar +1 more source
Exercise imagery and its correlates in older adults [PDF]
, 2012 Objectives\ud The purpose of the present study was to test a structural model examining the interrelationships between exercise imagery, self-reported exercise behaviour and well-being in older adults.\ud \ud Design\ud Cross-sectional survey.\ud \ud ...
Ayotte +73 more
core +2 more sources
Exploring Multi-Level Attention and Semantic Relationship for Remote Sensing Image Captioning
IEEE Access, 2020 Remote sensing image captioning, which aims to understand high-level semantic information and interactions of different ground objects, is a new emerging research topic in recent years.
Zhenghang Yuan, Xuelong Li, Qi Wang
doaj +1 more source
Sensory imagery in craving: From cognitive psychology to new treatments for addiction [PDF]
, 2012 Sensory imagery is a powerful tool for inducing craving because it is a key component of the cognitive system that underpins human motivation. The role of sensory imagery in motivation is explained by Elaborated Intrusion (EI) theory.
Andrade J. +15 more
core +3 more sources
Isprs Journal of Photogrammetry and Remote Sensing, 2020 With consumer-grade unmanned aerial vehicles (UAVs) on the rise, which enable easy, time-flexible, and cost-effective acquisition of very high-resolution RGB data, the mapping of forest tree species using solely RGB imagery is of high interest, as it ...
Felix Schiefer +6 more
semanticscholar +1 more source
Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning [PDF]
Isprs Journal of Photogrammetry and Remote Sensing, 2017 Deep convolutional neural networks (DCNNs) have been used to achieve state-of-the-art performance on many computer vision tasks (e.g., object recognition, object detection, semantic segmentation) thanks to a large repository of annotated image data ...
Ronald Kemker +2 more
semanticscholar +1 more source
Proceedings of the Royal Society B, 2021 One proposed function of imagery is to make thoughts more emotionally evocative through sensory simulation, which can be helpful both in planning for future events and in remembering the past, but also a hindrance when thoughts become overwhelming and ...
Marcus Wicken, Rebecca Keogh, J. Pearson
semanticscholar +1 more source
WHEN ROMAN ANTIQUITY AND RENAISSANCE CAME TOGETHER IN VIRTUAL 3D ENVIRONMENT: 3D MODELLING CONSIDERATIONS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 This paper is a review of the modelling of two edifices located in a city which developed on the vestiges of a Roman city during antiquity endowed in the 4th century with a military camp. The term castellum is used for the first structure.
M. Koehl +5 more
doaj +1 more source
Brief guided imagery and body scanning interventions reduce food cravings [PDF]
, 2013 mindfulness cognition food intrusive thoughts acceptance eatingElaborated Intrusion (EI) Theory proposes that cravings occur when involuntary thoughts about food are elaborated; a key part of elaboration is affectively-charged imagery.
Andrade, J +4 more
core +2 more sources
Unsupervised Deep Noise Modeling for Hyperspectral Image Change Detection
Remote Sensing, 2019 Hyperspectral image (HSI) change detection plays an important role in remote sensing applications, and considerable research has been done focused on improving change detection performance.
Xuelong Li, Zhenghang Yuan, Qi Wang
doaj +1 more source