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Toplam kayıt 12, listelenen: 1-10
A novel approach to obtain trajectories of targets from laser scanned datasets
(Ieee, 2015)
Laser scanner has several bons when compared with video camera. It does not record real world videos except scanned points. As a result, processing of data becomes faster and easier. Over and above, it takes away the problem ...
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 ...
Shape measurement for cylindirical structures formed by tyrosine molecules
(Amer Inst Physics, 2019)
Tyrosine is one of the important aromatic amino acids, the wrong metabolization of which usually results in severe mental diseases. Based on the simulation results it was observed that tyrosine molecules form fibril-like ...
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 ...
Recognition of objects from laser scanned data points using SVM
(Ieee Computer Soc, 2016)
Nowadays, laser scanners are operated for data collection instead of video cameras. Laser scanners do not record real world videos except scanned points. Thus it takes away problems of private life conservation. Plus data ...
A simple approach to count and track underwater fishes from videos
(Ieee, 2015)
Fishes are of great importance to the ecosystem. Behavior of fishes is interesting. Counting and tracking of fishes can provide good knowledge about the behavior of fishes. Counting and behavior quantifying of fishes within ...
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. ...
Facial expression recognition using deep learning
(American Institute of Physics, 2021)
Facial expression recognition has become an increasingly important area of research in recent years. Neural network-based methods have made amazing progress in performing recognition-based tasks, winning competitions set ...
An Ab Initio and DFT study of structure and conformers of glycerol
(American Institute of Physics, 2020)
In this paper, the effect of the simultaneous rotation of two different groups, hydroxyl (OH) and hydroxymethyl (CH2OH) groups, on the basic properties of Glycerol are comprehensively studied. Relative energies are reported ...
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 ...