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Toplam kayıt 8, listelenen: 1-8
Shape investigations of structures formed by the self-assembly of aromatic amino acids using the density-based spatial clustering of applications with noise algorithm
(Scientific & Technical Research Council Turkey-TUBITAK, 2022)
Tyrosine, tryptophan, and phenylalanine are important aromatic amino acids for human health. If they are not properly metabolized, severe rare mental or metabolic diseases can emerge, many of which are not researched enough ...
A proof of concept for home automation system with implementation of the Internet of Things standards
(International University of Sarajevo, 2018)
Who does not want a home having comfortability, security, safety, and reliability? A system of interconnected devices and sensors with internet of things standards can communicate independently with less or no human ...
Classification and detection of various geographical features from satellite imagery
(International University of Sarajevo, 2018)
It is a challenging task to classify and detect various geographical features from the satellite imagery of the Earth as well as the celestial bodies. This paper puts forward several pixel based classification algorithms ...
Self-assembly of aromatic amino acids: a molecular dynamics study
(Royal Soc Chemistry, 2018)
The self assembly processes of aromatic amino acids, phenylalanine, tyrosine, and tryptophan have been simulated and were observed to form fibril-like aggregates linked to certain rare diseases and instances of biological ...
Concentration effects on the self-assembly of tyrosine molecules
(The Royal Society of Chemistry, 2021)
Molecular self-assembly is a ubiquitous phenomenon in which individual atoms or molecules set up an ordered structure. It is of high interest for understanding the biology and a variety of diseases at the molecular level. ...
Classification of breast cancer histopathological images using DenseNet and transfer learning
(Hindawi Publishing Corporation, 2022)
Breast cancer is one of the most common invading cancers in women. Analyzing breast cancer is nontrivial and may lead to disagreements among experts. Although deep learning methods achieved an excellent performance in ...
Deep sentiment analysis: a case study on stemmed Turkish Twitter data
(IEEE, 2021)
Sentiment analysis using stemmed Twitter data from various languages is an emerging research topic. In this paper, we address three data augmentation techniques namely Shift, Shuffle, and Hybrid to increase the size of the ...
Tyrosine, phenylalanine, and tryptophan undergo self-aggregation in similar and different manners
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
Phenylalanine, tyrosine, and tryptophan are aromatic amino acids, and they are of high interest in both health science and biotechnology. These amino acids form organized structures, like fibrils and nanotubes. Although ...