Search results for "Machine Learning Methods"

showing 3 items of 3 documents

Quantifying and Processing Biomedical and Behavioral Signals

2019

Customer CareUser ModellingSocial Science ScholarshipMachine Learning MethodsNeural Networksbusiness.industryComplex Human-Computer InterfacesSituated Human-Computer Interaction (HCI)Social Signal ProcessingArtificial IntelligenceDaily Life ActivitiesSocial Behaviour and ContextMedicinebusinessBiometric DataHealth & Well Being
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CArDIS : A Swedish Historical Handwritten Character and Word Dataset

2022

This paper introduces a new publicly available image-based Swedish historical handwritten character and word dataset named Character Arkiv Digital Sweden (CArDIS) (https://cardisdataset.github.io/CARDIS/). The samples in CArDIS are collected from 64, 084 Swedish historical documents written by several anonymous priests between 1800 and 1900. The dataset contains 116, 000 Swedish alphabet images in RGB color space with 29 classes, whereas the word dataset contains 30, 000 image samples of ten popular Swedish names as well as 1, 000 region names in Sweden. To examine the performance of different machine learning classifiers on CArDIS dataset, three different experiments are conducted. In the …

Handwriting recognitionOptical character recognition softwareoptical character recognition (OCR)Computer SciencesCharacter recognitionold handwritten styleImage recognitionCharacter and word recognitionVDP::Teknologi: 500Datavetenskap (datalogi)Machine learningSwedish handwritten word datasetmachine learning methodsFeature extractionHidden Markov modelsSwedish handwritten character dataset
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Machine learning approach for predicting Fusarium culmorum and F. proliferatum growth and mycotoxin production in treatments with ethylene-vinyl alco…

2020

Fusarium culmorum and F. proliferatum can grow and produce, respectively, zearalenone (ZEA) and fumonisins (FUM) in different points of the food chain. Application of antifungal chemicals to control these fungi and mycotoxins increases the risk of toxic residues in foods and feeds, and induces fungal resistances. In this study, a new and multidisciplinary approach based on the use of bioactive ethylene-vinyl alcohol copolymer (EVOH) films containing pure components of essential oils (EOCs) and machine learning (ML) methods is evaluated. Bioactive EVOH-EOC films were made incorporating cinnamaldehyde (CINHO), citral (CIT), isoeugenol (IEG) or linalool (LIN). Several ML methods (neural networ…

Machine learning methodsAntifungal AgentsWater activityFusarium proliferatumCitralMachine learningcomputer.software_genreMicrobiologyFumonisinsMachine Learning03 medical and health scienceschemistry.chemical_compoundLinaloolFusariumFusarium culmorumOils VolatileFusarium culmorumMycotoxinZearalenone030304 developmental biology0303 health sciencesbiologyFusarium proliferatum030306 microbiologybusiness.industryGeneral MedicineMycotoxinsbiology.organism_classificationIsoeugenolchemistryBioactive EVOH-filmsFood MicrobiologyZearalenonePolyvinylsArtificial intelligencebusinesscomputerFood Science
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