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Toplam kayıt 11, listelenen: 1-10
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 ...
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 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 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 ...
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 ...
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 ...
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. ...
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 ...
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 ...