Yazar "0000-0001-8776-3032" için Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed listeleme
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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 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 ... -
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 ... -
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 ...