Results 51 to 60 of about 576,910 (192)

Phenotypic correlations between reproductive characteristics related to litter and reproductive cycle length in sows

open access: yesCzech Journal of Animal Science, 2020
The study estimated phenotypic correlations between reproductive traits in sows classified as maternal (Polish Large White, Polish Landrace, and Yorkshire) and paternal (Duroc, Berkshire, and Hampshire) components, kept on farms located in Poland and in ...
Błażej Nowak   +3 more
doaj   +1 more source

martaajarzyna/PCA-ForAnalysisOfBiodiversityChange: First release of PCA for biodiversity assessments (Jarzyna and Stagge)

open access: yes, 2022
This is the code for using Principal Component Analysis (PCA) for assessments of change in multiple facets of biodiversity (manuscript in review by Jarzyna and Stagge)
Marta Jarzyna
core   +1 more source

Dimensionality Reduction and Classification of Dermatological Images using PCA and Machine Learning [PDF]

open access: yesEPJ Web of Conferences
Skin diseases pose grave diagnosis issues since they are highly similar among classes and have varied patterns over the various skin colors, particularly in Indian subjects. The current work proposes a mixed strategy using transfer learning-based feature
Surwadkar Tushar, Deshmukh Sujata
doaj   +1 more source

Le fait du prince comme cause d’admission au régime de force majeure en droit minier congolais : notion, portée et implications [PDF]

open access: yesMouvements et Enjeux Sociaux
La succession d’évènements tragiques au cours des XX et XXIe siècles a mis en évidence l’importance de la gestion des risques avec notamment des risques industriels, financiers, sociétaux (les soulèvements), sanitaires (pandémie de covid-19), ou encore ...
Patrick BONDONGA LESAMBO   +1 more
doaj  

Efficient PCA-Exploration of High-Dimensional Datasets [PDF]

open access: yes, 2020
Basic tools for exploration and interpretation of Principal Component Analysis (PCA) results are well- known and thoroughly described in many comprehensive tutorials. However, in the recent decade, several new tools have been developed. Some of them were
Oxana Ye., Rodionova   +2 more
core   +1 more source

Specificities and sensitivities (defined as TN / (TN + FP) and FN / (FN + TP), respectively) by changing thresholds of 2D-PCA MSM and B-2D-PCA-R MSM.

open access: yes, 2021
Specificities and sensitivities (defined as TN / (TN + FP) and FN / (FN + TP), respectively) by changing thresholds of 2D-PCA MSM and B-2D-PCA-R MSM.
Yumi Iwashita (11261748)   +3 more
core   +1 more source

PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

open access: yes, 2021
The hyperspectral remote sensing images (HSIs) are acquired to encompass the essential information of land objects through contiguous narrow spectral wavelength bands.
MA Mamun (15370474)   +2 more
core   +1 more source

PCA-based dimensionality reduction for face recognition

open access: yes, 2021
PCA-based dimensionality reduction for face ...
MI Afjal (15370294)   +4 more
core   +1 more source

Evaluation of tomato hybrid lines adapted to lowland

open access: yesOpen Agriculture
Improving tomato fruit characteristics is a crucial step to address the decline in production, which is primarily caused by biotic stress and the limited adaptability of existing varieties in lowland areas.
Amal Muh. Alfan Ikhlasul   +2 more
doaj   +1 more source

Klasifikasi asal geografis kopi bubuk liberika tungkal Jambi dan Probolinggo menggunakan near-infrared spectroscopy (NIRS) dan principal component analysis (PCA)

open access: yesAgrointek
Regional origin classification of Geographical Indication (GI) products is necessary for their authentication purpose. Among others, coffee is Indonesia's largest GI group, with Liberica being the least studied.
Ikhsan Nurdziky   +2 more
doaj   +1 more source

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