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Pandemic studies: Remote learning during Covid. [PDF]

Signif (Oxf), 2022
AbstractWhen the pandemic forced university students to study at home, Sinjini Mitra and Denise Stanley set out to understand the impact this would have on student experiences, course outcomes and future ...
Mitra S, Stanley D.
europepmc   +3 more sources

Remote Learning Facilitated by MyScope Explore. [PDF]

Micros Today, 2021
Abstract:In response to the requirements imposed by the COVID-19 pandemic in 2020, we developed a remote learning undergraduate workshop for 44 students at the University of Newcastle by embedding scanning electron microscope (SEM) images of Maratus (Peacock) spiders into the MyScope Explore environment. The workshop session had two main components: 1)
Holmes NP, Griffith MJ, Barr MG, Nicolaidis NC, Bhatia V, Duncan M, McCarroll I, Whiting J, Dastoor PC, Cairney JM.   +9 more
europepmc   +4 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, B. Borgmann, M. Hebel, M. Arens, U. Stilla   +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, M. Tom, M. Rothermel, E. Baltsavias, L. Leal-Taixe, K. Schindler   +5 more
doaj   +1 more source

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, M. Hermann, M. Hermann, B. Ruf, B. Ruf, B. Ruf, M. Weinmann, S. Hinz   +7 more
doaj   +1 more source

Remote Learning Environment: Transition to Remote Education [PDF]

Journal of e-Learning and Higher Education, 2021
The study identifies the peculiarities of e-learning in the transitional period in secondary vocational and higher education in self-isolation mode, caused by COVID-19. In this research, the authors aim to determine the capabilities of online learning tools and Information and Communication Technologies (ICT) implemented in the academic process for all
Nataliya SAMOYLENKO, Ludmila ZHARKO, Alexandra GEORGIADI, Maria SHEVCHENKO   +3 more
openaire   +1 more source

Remote Teaching and Learning

Educação, Sociedade & Culturas, 2022
Em decorrência da pandemia de COVID-19, a utilização de recursos online fez-se necessária para implantação emergencial de formas alternativas de ensino e aprendizagem remotos pelas instituições de ensino brasileiras, sem preparo prévio. Diante dos enfrentamentos cruciais no ensino superior em contexto pandêmico, pretendeu-se analisar, neste artigo ...
Pereira, Ramon Jung, Oliveira, Verônica Macário de, Nascimento, Daniela Viegas da Costa, Teodósio, Armindo dos Santos de Sousa   +3 more
  +5 more sources

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, B. Borgmann, M. Hebel, M. Arens, U. Stilla   +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, Jonas Mohrs, Martin Weinmann, Stefan Hinz, Jürgen Beyerer   +4 more
doaj   +1 more source