Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed by Institution Author "Uyaver, Şahin"
Now showing items 1-17 of 17
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An Ab Initio and DFT study of structure and conformers of glycerol
Navini, Nasim Yousefpour; Shojaei, S. H. Reza; Uyaver, Şahin (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 and detection of various geographical features from satellite imagery
Sharif, Haidar; Uyaver, Şahin; Zerdo, Zaid (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 ... -
Classification of breast cancer histopathological images using DenseNet and transfer learning
Wakili, Musa Adamu; Shehu, Harisu Abdullahi; Sharif, Md. Haidar; Sharif, Md. Haris Uddin; Umar, Abubakar; Kusetoğulları, Hüseyin; İnce, İbrahim Furkan; Uyaver, Şahin (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 ... -
Classification of geographical features from satellite imagery
Sharif, Haidar; Uyaver, Şahin; Sharif, Haris Uddin; İnce, İbrahim Furkan; Zerdo, Zaid (Springer Verlag, 2019)It is a challenging task to classify heterogeneous geographical features from satellite imagery. This paper addresses 31 straightforward classification algorithms based on predominantly pixels to classify miscellaneous ... -
Concentration effects on the self-assembly of tyrosine molecules
Ahmadabadi, Hajar Nili; Masoudi, Amir Ali; Uyaver, Şahin (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. ... -
Deep sentiment analysis: a case study on stemmed Turkish Twitter data
Shehu, Harisu Abdullahi; Sharif, Md. Haidar; Sharif, Md. Haris Uddin; Datta, Ripon; Tokat, Sezai; Uyaver, Şahin; Kusetoğulları, Hüseyin; Ramadan, Rabie A. (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
Shehu, Harisu Abdullahi; Sharif, Md Haidar; Uyaver, Şahin (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 ... -
A novel approach to obtain trajectories of targets from laser scanned datasets
Galip, Feyza; Çaputcu, Mehmet; İnan, Rüveyda Hilal; Sharif, Haidar; Karabayır, Aykut; Kaplan, Sezin; Uyaver, Şahin (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 ... -
Preface to "computer science and technology"
Uyaver, Şahin (American Institute of Physics Inc., 2019)[No abstract available] -
A proof of concept for home automation system with implementation of the Internet of Things standards
Sharif, Haidar; Despot, Ivan; Uyaver, Şahin (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 ... -
Recognition of objects from laser scanned data points using SVM
Galip, Feyza; Sharif, Haidar; Çaputcu, Mehmet; Uyaver, Şahin (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 ... -
Self-assembly of aromatic amino acids: a molecular dynamics study
Uyaver, Şahin; Hernandez, Helen W.; Habiboğlu, Mehmet Gökhan (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 ... -
Sentiment analysis of turkish twitter data using polarity lexicon and artificial intelligence
Shehu, Harisu Abdullahi; Haidar, Sharif; Uyaver, Şahin; Tokat, Sezai; Ramadan, Rabie A. (Springer Science and Business Media Deutschland GmbH, 2020)Sentiment analysis is a process of computationally detecting and classifying opinions written in a piece of writer’s text. It determines the writer’s impression as achromatic or negative or positive. Sentiment analysis ... -
Shape investigations of structures formed by the self-assembly of aromatic amino acids using the density-based spatial clustering of applications with noise algorithm
Habiboğlu, Mehmet Gökhan; Hernandez, Helen W.; Uyaver, Şahin (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
Habiboğlu, Mehmet Gökhan; Uyaver, Şahin (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 ... -
A simple approach to count and track underwater fishes from videos
Sharif, Haidar; Galip, Feyza; Güler, Adil; Uyaver, Şahin (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 ... -
Tyrosine, phenylalanine, and tryptophan undergo self-aggregation in similar and different manners
Uyaver, Şahin (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 ...
