[HTML][HTML] Binder jet green parts microstructure: advanced quantitative analysis

SB Ojea, J Torrents-Barrena, MT Pérez-Prado… - Journal of materials …, 2023 - Elsevier
Abstract 3D binder jet technology has drawn significant attention in recent years thanks to its
ability to build complex shapes with a wide variety of commercial powders, together with the …

SymCHM—an unsupervised approach for pattern discovery in symbolic music with a compositional hierarchical model

M Pesek, A Leonardis, M Marolt - Applied sciences, 2017 - mdpi.com
This paper presents a compositional hierarchical model for pattern discovery in symbolic
music. The model can be regarded as a deep architecture with a transparent structure. It can …

MLO and CC View of Feature Fusion and Mammogram Classification Using a Deep Convolution Neural Network

V Sridevi, JA Samath - Applied Intelligence for Medical Image …, 2024 - taylorfrancis.com
Breast cancer is a frequent type of cancer in women all over the world. The improvement of
computer-aided system helps the radiologist with the effective analysis and diagnosis of …

Detection and diagnosis of skin diseases by using snake algorithm and neural networks

R Ramo - 2022 - techniumscience.com
This research presents a medical application to diagnose types of skin diseases based on
the axis of dermatology, where a computer intelligent system was built based on identifying …

Patch-based convolutional neural networks for TCGA-BRCA breast cancer classification

RJT Villareal, PAR Abu - Advances in Visual Computing: 16th International …, 2021 - Springer
The current study automatically identified regions of interest and classified breast tumors in
whole slide images from The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA …

[PDF][PDF] Comparative analysis of Median filter family for Removing High-Density Noise in Magnetic Resonance Images

NJ Habeeb - Iraqi Journal of Science, 2019 - iasj.net
Abstract Magnetic Resonance Imaging (MRI) is a medical indicative test utilized for taking
images of the tissue points of interest of the human body. During image acquisition, MRI …

[PDF][PDF] Brain Tumor Detection Using Snake Algorithm and Fuzzy C-Mean

RM Ramo - Raf. J. of Comp. & Math's, 2012 - iasj.net
In this research, two methods have been suggested for the detection of the brain
tumor.(which is defined as the abnormal growth of cells), The first method is used the snake …

The Classification of Wink-Based EEG Signals: The Identification on Efficiency of Transfer Learning Models by Means of kNN Classifier

JLM Kumar, M Rashid, RM Musa, MAM Razman… - RiTA 2020: Proceedings …, 2021 - Springer
One of the earliest methods to observe the brain dynamic is through Electroencephalogram
(EEG) brain signal. It is widely known as a non-invasive, reliable, and affordable way of …

[PDF][PDF] ADAM TURCOTTE

T ALFULFILMENT - collectionscanada.gc.ca
THE EXQUIRES (EXTENSIBLE QUANTITATIVE IMAGE RESAMPLING) TEST SUITE:
IMPACT OF THE DOWNSAMPLER, DIFFERENCE METRIC, TEST IMAGE, RE Page 1 THE …

[PDF][PDF] REMOVING SALT AND PEPPER NOISE FROM THE IMAGE BY THE USE OF THRESHOLD MECHANISM

K Bains, M Taqdir - ijrdt.org
Image processing is the mechanism which is required in case of almost every image since
distortion is present within the image. Image restoration and removing noise will be the …