Results 181 to 190 of about 192,264 (279)

Genomic structure and ex situ conservation of the North American grapevine Vitis labrusca

PLANTS, PEOPLE, PLANET, EarlyView.
The North American wild grapevine species Vitis labrusca is an important source of disease resistance and climate resilience traits for breeding new grapevine cultivars. To ensure its continued use in breeding, V. labrusca must be accurately identified and genetically diverse material must be conserved.
Zoë Migicovsky, Clay Elzinga, Mia C. Lauzon, Thomas Connor, Kylie DeViller, Claire Dinn, Grace M. Earle, Emma Hockley, Olivia Lennon, Lillian A. Ricker, Peter M. Roberts, Katrina M. Robinson, Aditi Sharma, Paris N. Spencer, Sammy Stockdale, Liam L. Tingley, Annelies Yates, Jason P. Londo, Peter Cousins   +18 more
wiley   +1 more source

Metadata quality issues in learning repositories

, 2014
Metadata lies at the heart of every digital repository project in the sense that it defines and drives the description of digital content stored in the repositories. Metadata allows content to be successfully stored, managed and retrieved but also preserved in the long-term.
openaire   +1 more source

A pipeline to compile expert‐verified datasets of digitised herbarium specimens for automated plant identification to accelerate taxonomy

PLANTS, PEOPLE, PLANET, EarlyView.
Understanding and protecting plant life is essential for tackling the twin challenges of biodiversity loss and climate change. To support this, we have developed a new digital approach that helps identify plant species more quickly and accurately.
Jed Arno, Jérémie Morel, Fitiavana Rasaminirina, Juliene de Fátima Maciel‐Silva, Daniel Cahen, Damon P. Little, Daniele Silvestro, Alexandre Antonelli, Olwen Grace, Li Zhang, Isabel Larridon   +10 more
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Metadata-Based Privacy Assessment for Mobile mHealth. [PDF]

Sensors (Basel)
Pérez-Fuente A, Martínez-González MM, Aparicio A, Criado-Lozano PA.   +3 more
europepmc   +1 more source

Software to Support Remote Sensing of River Discharge Based on Critical Flow Theory

River Research and Applications, EarlyView.
ABSTRACT Water resource management requires accurate observations of streamflow but standard field methods for measuring river discharge (Q$$ Q $$) can be costly and hazardous for equipment and personnel. Remote sensing has become a viable alternative, but many image‐based techniques require field data for calibration, and depth and velocity can seldom
Carl J. Legleiter, Inhyeok Bae
wiley   +1 more source

Assessing research productivity in addiction datasets using OpenAlex. [PDF]

PLoS One
Melero-Fuentes D, Rius C, Lucas-Domínguez R, Valderrama-Zurián JC.   +3 more
europepmc   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

SASBDB reaches 5000 data sets: empowering open science and next-generation SAS analysis. [PDF]

Acta Crystallogr D Struct Biol
Blanchet CE, Sutinen A, Graewert MA, Soloviov D, Tropin T.   +4 more
europepmc   +1 more source

Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity

Remote Sensing in Ecology and Conservation, EarlyView.
Machine learning image classifiers are increasingly being used to automate camera trap image labelling, but we don't know how much ML model accuracy matters for downstream ecological analyses. Using two large data sets from an African savannah and an Asian dry forest ecosystem, we compared human labelled data with predictions from deep‐learning models ...
Peggy A. Bevan, Omiros Pantazis, Holly A.I. Pringle, Guilherme Braga Ferreira, Daniel J. Ingram, Emily K. Madsen, Liam Thomas, Dol Raj Thanet, Thakur Silwal, Santosh Rayamajhi, Gabriel J. Brostow, Oisin Mac Aodha, Kate E. Jones   +12 more
wiley   +1 more source