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Bihter Das
Bihter Das
Other namesBihter Daş
Assoc. Prof. Dr. of Software Engineering, Technology Faculty, Firat University
Verified email at firat.edu.tr
Title
Cited by
Cited by
Year
A novel numerical mapping method based on entropy for digitizing DNA sequences
B Das, I Turkoglu
Springer, Neural Computing and Applications 29 (8), 207-215, 2018
432018
DNA Dizilimlerinin Sınıflandırılmasında Karar Ağacı Algoritmalarının Karşılaştırılması
B Daş, İ Türkoğlu
Elektrik – Elektronik – Bilgisayar ve Biyomedikal Mühendisliği Sempozyumu …, 2014
292014
Deep transfer learning for automated liver cancer gene recognition using spectrogram images of digitized DNA sequences
B Das, S Toraman
Elsevier, Biomedical Signal Processing and Control 72 (103317), 1-12, 2022
152022
Prediction of the customers' interests using sentiment analysis in e-commerce data for comparison of Arabic, English, and Turkish languages
P Savci, B Das
Elseiver, Journal of King Saud University–Computer and Information Sciences …, 2023
142023
Sayısal haritalama teknikleri ve Fourier dönüşümü kullanılarak DNA dizilimlerinin sınıflandırılması
B Daş, İ Türkoğlu
Journal of The Facultry of Engineering and Architecture of Gazi University …, 2016
14*2016
DNA Dizilimlerindeki Nükleotit Çiftlerinin Frekans Değerlerine Göre Farklı Sınıflandırma Yöntemleri ile Karşılaştırılması
B Daş, İ Türkoğlu
Tıp Teknolojileri Ulusal Kongresi, TIPTEKNO’14 1 (1), 2014
142014
Prediction of air pollutants for air quality using deep learning methods in a metropolitan city
B Das, OO Dursun, S Toraman
Elsevier, Urban Climate 46 (101291), 2022
132022
A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-2
B Das, M Kutsal, R Das
Elsevier, Chemometrics and Intelligent Laboratory Systems, 104640, 2022
112022
A novel genome analysis method with the entropy-based numerical technique using pre-trained convolutional neural networks
B Daş, S Toraman, İ Türkoğlu
Turkish Journal of Electrical Engineering & Computer Sciences 28 (4), 1932-1948, 2020
112020
A deep learning model for identification of diabetes type 2 based on nucleotide signals
B Das
Springer, Neural Computing and Applications, 2022
92022
Comparison of pre-trained language models in terms of carbon emissions, time and accuracy in multi-label text classification using AutoML
P Savci, B Das
Elseiver, Heliyon 9 (5), 2023
82023
A comparative study on the performance of classification algorithms for effective diagnosis of liver diseases
B Das
Sakarya University Journal of Computer and Information Sciences (SAUCIS) 3 …, 2020
7*2020
Effective prediction of drug–target interaction on HIV using deep graph neural networks
B Das, M Kutsal, R Das
Elseiver,Chemometrics and Intelligent Laboratory Systems, 104676, 2022
52022
An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences
B Das
Elseiver, Chemometrics and Intelligent Laboratory Systems 230 (104680), 2022
52022
2D: 4D Sayısal Parmak Oranına Göre Bireylerin Kişilik Durumlarının Sınıflandırılması
B Daş, A Varol
The First International Symposium on Digital Forensics and Security (ISDFS …, 2013
52013
DNA dizilimlerinden hastalık tanılanması için işaret işleme temelli yeni yaklaşımların geliştirilmesi
B Daş
Fırat Üniversitesi, Fen Bilimleri Enstitüsü, Yazılım Mühendisliği Anabilim …, 2018
42018
Classifying protein sequences using convolutional neural network
B Das, S Toraman
Bitlis Eren University, Journal of Science 9 (4), 1663-1672, 2020
3*2020
Fourier-based filtering approach for identification of protein-coding regions in DNA sequences
B Daş, İ Türkoğlu
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
32015
Evrişimsel sinir ağları kullanılarak normal ve göğüs kanseri hücreleri içeren genomların sınıflandırılması
S Toraman, B Daş
Dicle Üniversitesi, Mühendislik Fakültesi, Mühendislik Dergisi 11 (1), 81-90, 2020
22020
A new mapping technique for separation of exons and introns by using DFT method
B Das, I Turkoglu
International conference on engineering and natural science (ICENS …, 2016
22016
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