NORM waste, cements, and concretes. A review
F Puertas, JA Suárez-Navarro, M Alonso López… - 2021 - digital.csic.es
The use of industrial waste and/or by-products as alternative sources of raw materials in
building materials has become standard practice. The result, more sustainable construction …
building materials has become standard practice. The result, more sustainable construction …
A new distance with derivative information for functional k-means clustering algorithm
The functional k-means clustering algorithm is a widely used method for clustering functional
data. However, with this algorithm, the derivative information is not further considered in …
data. However, with this algorithm, the derivative information is not further considered in …
Automated vision system for quality inspection of slate slabs
C Iglesias, J Martínez, J Taboada - Computers in Industry, 2018 - Elsevier
The natural properties of slate have made it a valuable resource for construction purposes,
especially for roofing. However, slate slabs must meet certain requirements to ensure their …
especially for roofing. However, slate slabs must meet certain requirements to ensure their …
Machine learning techniques for the optimization of joint replacements: Application to a short-stem hip implant
Today, different implant designs exist in the market; however, there is not a clear
understanding of which are the best implant design parameters to achieve mechanical …
understanding of which are the best implant design parameters to achieve mechanical …
Automatic classification of granite tiles through colour and texture features
This paper is about the development of an expert system for automatic classification of
granite tiles through computer vision. We discuss issues and possible solutions related to …
granite tiles through computer vision. We discuss issues and possible solutions related to …
Towards INDUSTRY 4.0| a case STUDY in ornamental stone sector
A da Silva, I Almeida - Resources policy, 2020 - Elsevier
A movement to mobilize the Portuguese Ornamental (OS) sector to reduce waste and
improve flexibility began in 2004. Boosted by R&D Mobilizing Projects in consortium and …
improve flexibility began in 2004. Boosted by R&D Mobilizing Projects in consortium and …
Machine learning techniques as a helpful tool toward determination of plaque vulnerability
Atherosclerotic cardiovascular disease results in millions of sudden deaths annually, and
coronary artery disease accounts for the majority of this toll. Plaque rupture plays main role …
coronary artery disease accounts for the majority of this toll. Plaque rupture plays main role …
On the use of machine learning techniques for the mechanical characterization of soft biological tissues
Motivated by the search for new strategies for fitting a material model, a new approach is
explored in the present work. The use of numerical and complex algorithms based on …
explored in the present work. The use of numerical and complex algorithms based on …
[PDF][PDF] Interpretable deep learning for marble tiles sorting.
One of the main problems in the final stage of the production line of ornamental stone tiles is
the process of quality control and product classification. Successful classification of natural …
the process of quality control and product classification. Successful classification of natural …
Hand-crafted and learned feature aggregation for visual marble tiles screening
An important factor in the successful marketing of natural ornamental rocks is providing sets
of tiles with matching textures. The market price of the tiles is based on the aesthetics of the …
of tiles with matching textures. The market price of the tiles is based on the aesthetics of the …