[HTML][HTML] Artificial intelligence in paleontology
The accumulation of large datasets and increasing data availability have led to the
emergence of data-driven paleontological studies, which reveal an unprecedented picture of …
emergence of data-driven paleontological studies, which reveal an unprecedented picture of …
Species-level microfossil identification for globotruncana genus using hybrid deep learning algorithms from the scratch via a low-cost light microscope imaging
Paleontologists generally use a low-cost electro-optical system to classify microfossils. This
manual identification is a time-consuming process and it may take about a long time …
manual identification is a time-consuming process and it may take about a long time …
BioEncoder: A metric learning toolkit for comparative organismal biology
In the realm of biological image analysis, deep learning (DL) has become a core toolkit, for
example for segmentation and classification. However, conventional DL methods are …
example for segmentation and classification. However, conventional DL methods are …
Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species
Visual as well as genetic biometrics are routinely employed to identify species and
individuals in biological applications. However, no attempts have been made in this domain …
individuals in biological applications. However, no attempts have been made in this domain …
Automated community ecology using deep learning: a case study of planktonic foraminifera
AY Hsiang, PM Hull - BioRxiv, 2022 - biorxiv.org
The development of deep learning methods using convolutional neural networks (CNNs)
has revolutionised the field of computer vision in recent years. The automation of taxonomic …
has revolutionised the field of computer vision in recent years. The automation of taxonomic …
Advancing Paleontology: A Survey on Deep Learning Methodologies in Fossil Image Analysis
Understanding ancient organisms and their paleo-environments through the study of body
fossils represents a central tenet of paleontology. Advances in digital image capture over the …
fossils represents a central tenet of paleontology. Advances in digital image capture over the …
IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING
M Plavetic - 2023 - gupea.ub.gu.se
Over the several past decades, there has been increasing interest in using foraminifera as
environmental indicators for coastal marine environments. As compared to macrofauna …
environmental indicators for coastal marine environments. As compared to macrofauna …
[PDF][PDF] MACHINE LEARNING PER L'IDENTIFICAZIONE TASSONOMICA DI FORAMINIFERI BENTONICI: UN APPROCCIO PRELIMINARE
A LUCARELLI - 2022 - tesi.univpm.it
La vita caratterizza la Terra e la caratteristica più straordinaria della vita è proprio la
diversità. Nel 1753, Carlo Linneo introdusse il sistema di nomenclatura binomiale e da lì ad …
diversità. Nel 1753, Carlo Linneo introdusse il sistema di nomenclatura binomiale e da lì ad …