The possibility of the boundaries detection in the images of crushed ore particles using a convolutional neural network is analyzed. The structure of the neural network is given. The construction of training and test datasets of ore particle images is described. Various modifications of the underlying neural network have been investigated. Experimental results are presented. © 2020, IFIP International Federation for Information Processing.Foundation for Assistance to Small Innovative Enterprises in Science and Technology, FASIEFunding. The work was performed under state contract 3170ΓC1/48564, grant from the FASIE
Includes bibliography.The objectives of the project were firstly, to propose and implement the hardw...
The identification of the procedure and instruments to carry out a preliminary evaluation of the pos...
This paper proposes a novel algorithm to detect the particle size distribution of ores with irregula...
In this work the ore particle size distribution is estimated from an input image of the ore. The no...
In an aggregate crushing plant, the crusher performances will be affected by the variation from the ...
This master’s thesis evaluates five existing Convolutional Neural Network (CNN) models for semantic ...
Programa de P?s-Gradua??o em Instrumenta??o, Controle e Automa??o de Processos de Minera??o. Departa...
Knowing the characteristics of the feed ore size is an important consideration for operations and co...
In an aggregate crushing plant, the crusher performances will be affected by the variation from the ...
The image processing has widely delved into mining activities for years. The image processing is act...
This thesis considers machine vision in the context of the mining, mineral and metal industry (MMMI)...
A variant of neural network for processing with images is a convolutional neural network (CNN). This...
Fantastic progress has been made within the field of machine learning and deep neural networks in th...
When analyzing the sorption properties of coal in the context of gas hazards in underground mining, ...
Canadian Grain Commission has stringent regulations on the cleanliness and uniformity of wheat grain...
Includes bibliography.The objectives of the project were firstly, to propose and implement the hardw...
The identification of the procedure and instruments to carry out a preliminary evaluation of the pos...
This paper proposes a novel algorithm to detect the particle size distribution of ores with irregula...
In this work the ore particle size distribution is estimated from an input image of the ore. The no...
In an aggregate crushing plant, the crusher performances will be affected by the variation from the ...
This master’s thesis evaluates five existing Convolutional Neural Network (CNN) models for semantic ...
Programa de P?s-Gradua??o em Instrumenta??o, Controle e Automa??o de Processos de Minera??o. Departa...
Knowing the characteristics of the feed ore size is an important consideration for operations and co...
In an aggregate crushing plant, the crusher performances will be affected by the variation from the ...
The image processing has widely delved into mining activities for years. The image processing is act...
This thesis considers machine vision in the context of the mining, mineral and metal industry (MMMI)...
A variant of neural network for processing with images is a convolutional neural network (CNN). This...
Fantastic progress has been made within the field of machine learning and deep neural networks in th...
When analyzing the sorption properties of coal in the context of gas hazards in underground mining, ...
Canadian Grain Commission has stringent regulations on the cleanliness and uniformity of wheat grain...
Includes bibliography.The objectives of the project were firstly, to propose and implement the hardw...
The identification of the procedure and instruments to carry out a preliminary evaluation of the pos...
This paper proposes a novel algorithm to detect the particle size distribution of ores with irregula...