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The Complexity of Remote Learning: A Neuroergonomical Discussion [PDF]
Frontiers in Neurorobotics, 2022 N ...
Federico Cassioli +3 more
openaire +5 more sources
INFORMATION ACQUISITION ON PEDESTRIAN MOVEMENTS IN URBAN TRAFFIC WITH A MOBILE MULTI-SENSOR SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 This paper presents an approach which combines LiDAR sensors and cameras of a mobile multi-sensor system to obtain information about pedestrians in the vicinity of the sensor platform.
B. Borgmann +4 more
doaj +1 more source
LAKE ICE MONITORING WITH WEBCAMS AND CROWD-SOURCED IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Lake ice is a strong climate indicator and has been recognised as part of the Essential Climate Variables (ECV) by the Global Climate Observing System (GCOS).
R. Prabha +5 more
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SELF-SUPERVISED LEARNING FOR MONOCULAR DEPTH ESTIMATION FROM AERIAL IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Supervised learning based methods for monocular depth estimation usually require large amounts of extensively annotated training data. In the case of aerial imagery, this ground truth is particularly difficult to acquire.
M. Hermann +7 more
doaj +1 more source
Educação, Sociedade & Culturas, 2022 Since the COVID-19 pandemic situation affected the entire world, several studies were conducted to analyse, evaluate, and inform the education community of the best practices to adopt regarding a remote teaching and learning context, bridging the necessity to understand how online learning, mostly remote teaching and learning, can effectively ...
Anicia Rebelo Trindade +3 more
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PEDESTRIAN DETECTION AND TRACKING IN SPARSE MLS POINT CLOUDS USING A NEURAL NETWORK AND VOTING-BASED APPROACH [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 This paper presents and extends an approach for the detection of pedestrians in unstructured point clouds resulting from single MLS (mobile laser scanning) scans. The approach is based on a neural network and a subsequent voting process.
B. Borgmann +4 more
doaj +1 more source
Non-linear spectral unmixing of hyperspectral data using Modified PPNMM
Applied Computing and Geosciences, 2021 Spectral unmixing is one of the unique advantages of hyperspectral images to map the type of species. Such images contain a high spectral resolution making it a classical problem of signal processing at each pixel, which is supposedly formed by the ...
Ankur Dixit, Shefali Agarwal
doaj +1 more source
ReS2tAC—UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices
Sensors, 2021 With the emergence of low-cost robotic systems, such as unmanned aerial vehicle, the importance of embedded high-performance image processing has increased.
Boitumelo Ruf +4 more
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Вопросы образования, 2021 The COVID‑19 pandemic has essentially jeopardized the internationalization processes in higher education. International travel restrictions, financial insecurities, and the introduction of distance learning formats have been posing serious challenges for
Maria Abramova +2 more
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Online Learning, 2021 This study examined the student experience (n=507) during emergency remote learning at a medium-sized private southeastern university during the COVID-19 pandemic, leveraging the Social Presence Model (SPM) as a guiding framework.
Suzanne Ensmann +3 more
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