AIMC Topic: Quercus

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Machine learning techniques for continuous genetic assignment of geographic origin of forest trees.

PloS one Jun 6, 2025
Origin tracking is important to ensure use of the right seed source and trade with legally harvested timber. Additionally, it can help to reconstruct human-caused historical long-distance seed transfer and to spot mislabelling in forest field trials....
Humans Machine Learning Polymorphism, Single Nucleotide Europe Forests Trees Quercus Fagus
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Analytical and experimental solutions for Fourier transform infrared microspectroscopy measurements of microparticles: A case study on Quercus pollen.

Analytica chimica acta Feb 28, 2025
BACKGROUND: FTIR microspectroscopy is a popular non-destructive technique for chemical analysis and identification of microparticles, such as microplastics, pollen, spores, microplankton organisms, sediments and microfossils. Unfortunately, measured ...
Algorithms Spectroscopy, Fourier Transform Infrared Particle Size Quercus Pollen
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Performance of convolutional neural network (CNN) and performance influencing factors for wood species classification of Lepidobalanus growing in Korea.

Scientific reports Aug 5, 2024
This study aimed to investigate the performance and factors affecting the species classification of convolutional neural network (CNN) architecture using whole-part and earlywood-part cross-sectional datasets of six Korean Quercus species. The accura...
Neural Networks, Computer Republic of Korea Quercus Wood
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Local spatiotemporal dynamics of particulate matter and oak pollen measured by machine learning aided optical particle counters.

The Science of the total environment May 25, 2024
Conventional techniques for monitoring pollen currently have significant limitations in terms of labour, cost and the spatiotemporal resolution that can be achieved. Pollen monitoring networks across the world are generally sparse and are not able to...
Machine Learning Spatio-Temporal Analysis Environmental Monitoring Air Pollutants Air Pollution Particulate Matter United Kingdom Quercus Pollen
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Identifying of Quercus vulcanica and Q. frainetto growing in different environments through deep learning analysis.

Environmental monitoring and assessment Nov 4, 2021
Quercus is one of the important elements of forests worldwide. But the diagnosis of the species in this genus in particular using leaves is pretty challenging due to the presence of natural hybrids and phenotypically plastic trait expression. In this...
Deep Learning Environmental Monitoring Forests Trees Quercus
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Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression.

Genome biology Dec 4, 2019
Alignment-free methods, more time and memory efficient than alignment-based methods, have been widely used for comparing genome sequences or raw sequencing samples without assembly. However, in this study, we show that alignment-free dissimilarity ca...
Neural Networks, Computer Software Animals Genomics Regression Analysis High-Throughput Nucleotide Sequencing Quercus Primates
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Modified Activated Carbon Prepared from Acorn Shells as a New Solid-Phase Extraction Sorbent for the Preconcentration and Determination of Trace Amounts of Nickel in Food Samples Prior to Flame Atomic Absorption Spectrometry.

Journal of AOAC International Nov 17, 2016
A new solid-phase extraction (SPE) sorbent was introduced based on acidic-modified (AM) activated carbon (AC) prepared from acorn shells of native oak trees in Kurdistan. Hydrochloric acid (15%, w/w) and nitric acid (32.5%, w/w) were used to conditio...
Temperature Charcoal Nickel Hydrogen-Ion Concentration Solid Phase Extraction Mentha Brassica Spectrophotometry, Atomic Spinacia oleracea Quercus
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