Applications of machine learning in computational nanotechnology
Abstract Machine learning (ML) has gained extensive attention in recent years due to its
powerful data analysis capabilities. It has been successfully applied to many fields and …
powerful data analysis capabilities. It has been successfully applied to many fields and …
Image microstructure estimation algorithm of heterogeneous materials for identification their chemical composition
M Shapovalova, O Vodka - 2019 IEEE 2nd Ukraine Conference …, 2019 - ieeexplore.ieee.org
The search for new methods of materials quality control, based on the study of their
microstructure, is one of the urgent tasks in the modern world. Development in the field of …
microstructure, is one of the urgent tasks in the modern world. Development in the field of …
[PDF][PDF] Breast cancer detection using image processing techniques and classification algorithms
VH Viswanath, L Guachi-Guachi… - EasyChair, 2019 - easychair.org
Breast cancer is the top cancer in women worldwide. Early detection of this disease and its
classification into cases can improve the prognosis and even save lives by promoting timely …
classification into cases can improve the prognosis and even save lives by promoting timely …
[PDF][PDF] Data processing for automatic classification of spheroidite microstructure using deep learning based on fcnns
The microstructure of a material is one of the main influences on its mechanical properties,
and therefore it participates in determining its uses and possible applications in the field of …
and therefore it participates in determining its uses and possible applications in the field of …
Employing Deep Convolutional Neural Networks for Microstructure Image Classification
Z Ibrahim, M Jabbar, N Saleh - Proceedings of the Cognitive Models and …, 2024 - dl.acm.org
The aim of this study is to employ deep learning models for microstructural image
classification. The microstructures provide valuable insights into material's history and …
classification. The microstructures provide valuable insights into material's history and …
Automated Identification of Breast Cancer Using Digitized Mammogram Images
B Chachalo, E Solis, E Andrade, S Pozo… - … Congress on Pattern …, 2019 - Springer
In this paper, we present a new algorithm based on Computer-Aided Diagnosis (CAD) to
detect breast cancer using digitized mammogram images. Here, we use image processing …
detect breast cancer using digitized mammogram images. Here, we use image processing …
A Compared Approach on How Deep Learning May Support Reverse Engineering for Tolerance Inspection
M Bici, SS Mohammadi… - ASME …, 2019 - asmedigitalcollection.asme.org
Reverse Engineering (RE) may help tolerance inspection during production by digitalization
of analyzed components and their comparison with design requirements. RE techniques are …
of analyzed components and their comparison with design requirements. RE techniques are …
Automatic steel microstructural quantification by convolutional neural networks
CD de Almeida, L Goliatt… - Mecánica …, 2019 - venus.santafe-conicet.gov.ar
The microstructural analysis of a material allows the complete characterization of its
mechanical properties. Thus, the performance of a mechanical component depends heavily …
mechanical properties. Thus, the performance of a mechanical component depends heavily …
[PDF][PDF] FACULTAD DE INGENIERÍA EN CIENCIAS APLICADAS CARRERA DE INGENIERÍA EN ELECTRÓNICA Y REDES DE COMUNICACIÓN
ADELOSAA SANGUINO - 2018 - core.ac.uk
El presente trabajo de titulación presenta una selección de sensores capaces de desarrollar
las destrezas motoras gruesas básicas en niños de edades entre 3 y 6 años. El correcto …
las destrezas motoras gruesas básicas en niños de edades entre 3 y 6 años. El correcto …
[PDF][PDF] An assessment of Diagnosis and Prognosis of Breast Cancer Using Image Mining
A Bag, M Sahoo, AK Mohanty - academia.edu
The image mining technique deals with the extraction of implicit knowledge and image with
data relationship or other patterns not explicitly stored in the images. It is an extension of …
data relationship or other patterns not explicitly stored in the images. It is an extension of …