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Mostrando ítems 11-20 de 21
Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network.
(Agronomy, 2019-11)
Nondestructive estimation of the various physicochemical features of food such as fruits and vegetables will create a dramatic development in the food industry. The reason for this development is that the estimation is ...
Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting.
(Plants, 2021-04)
Improper usage of nitrogen in cucumber cultivation causes nitrate accumulation in the fruit and results in food poisoning in humans; therefore, mandatory evaluation of food products becomes inevitable. Hyperspectral imaging ...
Análisis y Diseño Práctico en una Base de Datos Relacionales MySQL.
(Academia Journals Celaya, 2021-05)
Implementación de herramientas para optimizar consultas de acceso a la información de bases de datos relacionales.
(Academia Journals Celaya, 2018-11)
Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most EffectiveWavelengths Using Hybrid Artificial Neural Network-Imperialist Competitive Algorithm.
(Plants, 2020-11)
Non-destructive assessment of the physicochemical properties of food products, especially fruits, makes it possible to examine the internal quality without any damage. This is applicable at different stages of fruit growth, ...
Emotional Corpus, Feature Extraction and Emotion Classification Using the Parameterized Voice Signal
(Communications in Computer and Information Science, 2021-10)
The recognition and classification of human emotions through voice analysis, it is a very interesting research area, due to the wide variety of appli cations: telecommunications, learning, human-computer interface, ...
Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.
(Remote Sens, 2019-10)
Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific ...
Operaciones crud en datos semiestructurados.
(Academia Journals Celaya, 2019-09)
Impacto de la transformación de modelos en el desarrollo de software.
(Academia Journals Celaya, 2018-11)
En los últimos años, la Ingeniería de software dirigida por modelos (MDSE, Model-Driven Software Engineering, por sus siglas en inglés o simplemente MDE) ha ganado cada vez más aceptación, principalmente por su capacidad ...
A Novel Technique for Classifying Bird Damage to Rapeseed Plants Based on a Deep Learning Algorithm.
(Agronomy, 2021-11)
Estimation of crop damage plays a vital role in the management of fields in the agricultura sector. An accurate measure of it provides key guidance to support agricultural decision-making systems. The objective of the study ...