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Unsupervised feature learning in remote sensing [PDF]

Applications of Machine Learning, 2019
The need for labeled data is among the most common and well-known practical obstacles to deploying deep learning algorithms to solve real-world problems. The current generation of learning algorithms requires a large volume of data labeled according to a static and pre-defined schema.
Aaron A. Reite, Scott Kangas, Zackery Steck, Steven Goley, Jonathan Von Stroh, Steven Forsyth   +5 more
openaire   +2 more sources

The Potential of Copernicus Satellites for Disaster Response: Retrieving Building Damage from Sentinel-1 and Sentinel-2 [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Natural disasters demand rapid damage assessment to guide humanitarian response. Here, we investigate whether medium-resolution Earth observation images from the Copernicus program can support building damage assessment, complementing very-high ...
O. Dietrich, M. Alfredsson, E. Arens, N. Metzger, T. Peters, L. Scheibenreif, J. D. Wegner, K. Schindler   +7 more
doaj   +1 more source

Sparking curiosity and engagement through online curriculum

Poultry Science, 2022
: In 2020, classrooms across the country abruptly transitioned to emergency remote learning in response to COVID-19. Instructors quickly searched for guidance on ways to present course material in an online format that would still allow for course ...
Elizabeth L. Karcher, Dawn Koltes, Benjamin Wenner, Jessica Wells   +3 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

Evaluating parental experiences in using technology for remote learning to teach students with special needs during the COVID-19 pandemic

Frontiers in Education, 2023
BackgroundThe 2020–2021 school year shut down because of the COVID-19 pandemic brought an unprecedented burden on parents, especially those with special needs children.
Alfred Sankoh, Jared Hogle, Melinda Payton, Karen Ledbetter   +3 more
doaj   +1 more source

3DITA – A 3D Benchmark Dataset for Nagara-Style Indian Temple Architecture: India’s First Point Cloud Dataset for Semantic Segmentation [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The rapid advancement of deep learning (DL) methods for point cloud processing has significantly increased the demand for large, diverse, and annotated datasets to improve model performance across various applications.
M. Sridhar, A. Paygude, H. Pande, P. S. Tiwari   +3 more
doaj   +1 more source

Remote learning readiness amidst the COVID-19 pandemic amongst undergraduate medical students

The Asia Pacific Scholar, 2023
Introduction: The global COVID-19 pandemic had greatly affected the delivery of medical education, where institutions had to convert to remote learning almost immediately.
Kit Mun Tan, Chan Choong Foong, Donnie Adams, Wei Han Hong, Yew Kong Lee, Vinod Pallath   +5 more
doaj   +1 more source

The Remoteness of Remote Learning

Journal of Interdisciplinary Studies in Education, 2020
The measures enforced by governments to contain the highly contagious COVID19 pathogen laid bare the deep inequalities that beset education systems around the world. The lockdowns and subsequent closures of educational institutions have amplified the gap between the rich and the poor, not just between the Global North and the Global South, but within ...
openaire   +2 more sources

ThermalAssist: Towards Efficient Annotation of Thermal Imagery [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Thermal infrared (TIR) imaging provides a unique capability to reveal surface heat-transfer patterns of buildings and supports applications such as energy leakage detection, insulation inspection, and building energy monitoring.
J. Zhu, J. Zhu, M. Biswanath, M. Biswanath, B. Busam, B. Busam   +5 more
doaj   +1 more source

Reconfigurable Mechanical Vibrations Laboratory Kit

Journal of Open Hardware, 2022
Mechanical vibrations appear across a diverse range of applications, but nevertheless are unified by a core set of principles and phenomena. In this article, we describe a reconfigurable laboratory kit that is designed to be used as part of a first ...
Ian Ho, Ajay Harishankar Kumar, Daniel M. Harris   +2 more
doaj   +1 more source