Results 91 to 100 of about 23,598 (350)

A Self‐Supervised Machine Learning Approach for the Estimation of Open‐Circuit Voltage Degradation in Photovoltaic Systems

open access: yesProgress in Photovoltaics: Research and Applications, EarlyView.
This study introduces a self‐supervised machine learning approach integrating physics‐based principles to estimate open‐circuit voltage (voc$$ {v}_{oc} $$) degradation in photovoltaic systems using SCADA data. By combining clustering and regression algorithms, our method detects performance deviations without labelled datasets.
Sandra Riaño   +4 more
wiley   +1 more source

Investigation of mislabeling and unpermitted additives in commercially available Indian weaning foods: A case study [PDF]

open access: yesBIO Web of Conferences
The Food suitable for babies during the weaning period is known as weaning foods. It plays a crucial role in nutrition, growth and development of children.
Aravapally Rishika   +3 more
doaj   +1 more source

Supervised Learning with Similarity Functions [PDF]

open access: yes, 2012
We address the problem of general supervised learning when data can only be accessed through an (indefinite) similarity function between data points.
Jain, Prateek, Kar, Purushottam
core   +2 more sources

Multivariate and functional classification using depth and distance

open access: yes, 2015
We construct classifiers for multivariate and functional data. Our approach is based on a kind of distance between data points and classes. The distance measure needs to be robust to outliers and invariant to linear transformations of the data.
Hubert, Mia   +2 more
core   +1 more source

DNA barcoding reveals mislabeling and commercial fraud in the marketing of fillets of the genus Brachyplatystoma Bleeker, 1862, the Amazonian freshwater catfishes economically important in Brazil

open access: yesHeliyon, 2020
The substitution and mislabeling is facilitated by the processing of fish products. We employed a DNA barcoding to authenticate fillets labeled as “dourada” (Brachyplatystoma rousseauxii), and “piramutaba” (Brachyplatystoma vaillantii) marketed in the ...
Soraia Costa de Carvalho   +2 more
semanticscholar   +1 more source

Universal Phase Identification of Block Copolymers From Physics‐Informed Machine Learning

open access: yesJournal of Polymer Science, Volume 63, Issue 6, Page 1433-1440, 15 March 2025.
ABSTRACT Block copolymers play a vital role in materials science due to their diverse self‐assembly behavior. Traditionally, exploring the block copolymer self‐assembly and associated structure–property relationships involve iterative synthesis, characterization, and theory, which is labor‐intensive both experimentally and computationally.
Xinyi Fang   +6 more
wiley   +1 more source

Megaphylogenetic Specimen-Level Approaches to the Carex (Cyperaceae) Phylogeny Using ITS, ETS, and matK Sequences: Implications for Classification [PDF]

open access: yes, 2016
We present the first large-scale phylogenetic hypothesis for the genus Carex based on 996 of the 1983 accepted species (50.23%). We used a supermatrix approach using three DNA regions: ETS, ITS and matK.
Escudero Lirio, Marcial   +7 more
core  

ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data [PDF]

open access: green, 2023
Ulyana Tkachenko   +2 more
openalex   +1 more source

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

open access: yesPLANTS, 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   +18 more
wiley   +1 more source

On the error in crop acreage estimation using satellite (LANDSAT) data [PDF]

open access: yes
The problem of crop acreage estimation using satellite data is discussed. Bias and variance of a crop proportion estimate in an area segment obtained from the classification of its multispectral sensor data are derived as functions of the means ...
Chhikara, R.
core   +1 more source

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