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Computer vision techniques for modelling the roasting process of coffee (Coffea arabica L.) var. Castillo

Czech Journal of Food Sciences, 2020-01, Vol.38 (6), p.388-396

2020

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Computer vision and artificial neural network techniques for classification of damage in potatoes during the storage process

Czech Journal of Food Sciences, 2019-01, Vol.37 (2), p.135-140

2019

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Nondestructive identification of tea (Camellia sinensis L.) varieties using FT-NIR spectroscopy and pattern recognition

Czech Journal of Food Sciences, 2008-01, Vol.26 (5), p.360-367

2008

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Improving the quality of sorting wood chips by scanning and machine vision technology

Journal of forest science (Praha), 2021-05, Vol.67 (5), p.212-218

2021

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Automatic correction of the adverse effects of light on fruit surfaces using the shape-from-shading method

Czech Journal of Food Sciences, 2018-01, Vol.36 (1), p.37-43

2018

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Identification and Classification of Bulk Paddy, Brown, and White Rice Cultivars with Colour Features Extraction using Image Analysis and Neural Network

Czech Journal of Food Sciences, 2014-01, Vol.32 (3), p.280-287

2014

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Classification of hazelnuts according to their quality using deep learning algorithms

Czech Journal of Food Sciences, 2022-01, Vol.40 (3), p.240-248

2022

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SiamLST: Learning Spatial and Channel-wise Transform for Visual Tracking

Tehnički vjesnik, 2022-08, Vol.29 (4), p.1202-1209

2022

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Image Retrieval Method Combining Bayes and SVM Classifier Based on Relevance Feedback with Application to Small-scale Datasets

Tehnički vjesnik, 2022-08, Vol.29 (4), p.1236-1246

2022

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Current Summary of the Practical Using of Optical Correlators

Acta electrotechnica et informatica, 2012-12, Vol.12 (4), p.30-38

2012

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Technological Level of Flexible Manufacturing System Control

Acta electrotechnica et informatica, 2011-01, Vol.11 (1), p.20-24

2011

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A fuzzy incremental clustering approach to hybrid data discovery

Acta electrotechnica et informatica, 2012-10, Vol.12 (2), p.16-23

2012

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Early smoke detection of forest fires based on SVM image segmentation

Journal of forest science (Praha), 2019-01, Vol.65 (4), p.150-159

2019

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Vis/NIR hyperspectral imaging for detection of hidden bruises on kiwifruits

Czech Journal of Food Sciences, 2011-01, Vol.29 (6), p.595-602

2011

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Methodological Assessment of Data Suitability for Defect Prediction

Kvalita inovácia prosperita, 2020, Vol.24 (2), p.170-185

2020

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Through Thick and Thin: Lower Secondary School Students’ Barriers to Learning under Covid-19 Conditions

CEPS journal, 2022-09, Vol.12 (3), p.167-189

2022

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Importance of automatic threshold for image segmentation for accurate measurement of fine roots of woody plants / Význam automatického prahovania na obrazovú segmentáciu pre presné merania jemných koreňov drevín

Central European forestry journal, 2014-12, Vol.60 (4), p.244-249

2014

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Semiautomatic tree ring segmentation using Active Contours and an optimised gradient operator / Poloautomatizovaná segmentácia ročných radiálnych kruhov stromov s využitím metódy „Active Contours“ a optimalizovaného gradientového operátora

Central European forestry journal, 2014-09, Vol.60 (3), p.185-190

2014

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Study of the LiDAR accuracy in mapping forest road alignments and estimating the earthwork volume

Journal of forest science (Praha), 2018, Vol.64 (11), p.469-477

2018

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A smoke image segmentation algorithm based on rough set and region growing

Journal of forest science (Praha), 2019-01, Vol.65 (8), p.321-329

2019

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Towards periodic and time-referenced flood risk assessment using airborne remote sensing

Journal of Hydrology and Hydromechanics, 2016-12, Vol.64 (4), p.438-447

2016

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Monitoring geometric properties of an existing forest road using airborne Lidar data

Journal of forest science (Praha), 2017, Vol.63 (11), p.490-495

2017

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Rapid detection of total nitrogen content in soy sauce using NIR spectroscopy

Czech Journal of Food Sciences, 2015-01, Vol.33 (6), p.518-522

2015

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Index of volume 27, Author index, Author institution index, List of reviewers, Subject index

Czech Journal of Food Sciences, 2009-12, Vol.27 (6), p.I-XXII

editors

2009

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Prediction of the kind of sprouts of Cruciferae family based on artificial neural network analysis

Czech Journal of Food Sciences, 2007-01, Vol.25 (4), p.189-194

2007

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Computer vision techniques for modelling the roasting process of coffee (Coffea arabica L.) var. Castillo

Computer vision and artificial neural network techniques for classification of damage in potatoes during the storage process

Nondestructive identification of tea (Camellia sinensis L.) varieties using FT-NIR spectroscopy and pattern recognition

Improving the quality of sorting wood chips by scanning and machine vision technology

Automatic correction of the adverse effects of light on fruit surfaces using the shape-from-shading method

Identification and Classification of Bulk Paddy, Brown, and White Rice Cultivars with Colour Features Extraction using Image Analysis and Neural Network

Classification of hazelnuts according to their quality using deep learning algorithms

SiamLST: Learning Spatial and Channel-wise Transform for Visual Tracking

Image Retrieval Method Combining Bayes and SVM Classifier Based on Relevance Feedback with Application to Small-scale Datasets

Current Summary of the Practical Using of Optical Correlators

Technological Level of Flexible Manufacturing System Control

A fuzzy incremental clustering approach to hybrid data discovery

Early smoke detection of forest fires based on SVM image segmentation

Vis/NIR hyperspectral imaging for detection of hidden bruises on kiwifruits

Methodological Assessment of Data Suitability for Defect Prediction

Through Thick and Thin: Lower Secondary School Students’ Barriers to Learning under Covid-19 Conditions

Importance of automatic threshold for image segmentation for accurate measurement of fine roots of woody plants / Význam automatického prahovania na obrazovú segmentáciu pre presné merania jemných koreňov drevín

Semiautomatic tree ring segmentation using Active Contours and an optimised gradient operator / Poloautomatizovaná segmentácia ročných radiálnych kruhov stromov s využitím metódy „Active Contours“ a optimalizovaného gradientového operátora

Study of the LiDAR accuracy in mapping forest road alignments and estimating the earthwork volume

A smoke image segmentation algorithm based on rough set and region growing

Towards periodic and time-referenced flood risk assessment using airborne remote sensing

Monitoring geometric properties of an existing forest road using airborne Lidar data

Rapid detection of total nitrogen content in soy sauce using NIR spectroscopy

Index of volume 27, Author index, Author institution index, List of reviewers, Subject index

Prediction of the kind of sprouts of Cruciferae family based on artificial neural network analysis

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