Türk-Alman University Institutional Repository
DSpace@Türk-Alman digitally stores academic resources such as books, articles, dissertations, bulletins, reports, research data published directly or indirectly by Türk-Alman University in international standarts, helps track the academic performance of the university, provides long term preservation for resources and makes publications available to Open Access in accordance with their copyright to increase the effect of publications.
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Gözlemsel Kozmoloji ve Karanlık Madde Özetkileşimleri
(2019)24 Şubat 2024’de ansızın aramızdan ayrılmasıyla hepimizi derinden üzen Prof. Dr. Durmuş Ali Demir, Yüksek Enerji Fiziği alanında çalışan ve bu alana yaptığı katkılarıyla uluslararası düzeyde tanınan bir fizikçiydi. ... -
Pantheon update on a model-independent analysis of cosmological supernova data
(IOP Publishing, 2020)We present an update of our previous work, necessitated by availability of a significantly improved dataset. The work is a model-independent analysis of the cosmological supernova (type Ia) data, where function families ... -
From Quantum Mechanics, Classical Mechanics and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases
(2021)This volume provides computational methods and reviews various aspects of computational studies of protein aggregation. Chapters discuss the relationship between protein misfolding and protein aggregation, methods of ... -
Glycopeptides by quantum chemistry and artificial intelligence
(2018)Glycation destroys or impairs the biological function of peptides and proteins. The bacteria cell wall polymers consist of GlcNAc, which is crosslinked with oligopeptides. While glutamine is a nonessential amino acid ... -
Katkı malzemelerinin polimerik yalıtkanların manyetik geçirgenliğine etkisinin incelenmesi
(2020-2021)[Özet yok] -
A Machine Learning Approach to Predict the Sepsis Status: Analyzing the Connection Between Relevant Laboratory Values and Other Physiological Measurements Obtained in Intensive Care Unit
(2021)Sepsis is a life-threatening disease caused by the body's response to an infection, which leads to tissue damage, organ failure and death. According to literature, about 1.7 million Americans each year suffer from sepsis ... -
On the efficiency of LSTM in classifying musical impressions from EEG recordings
(2023)The objective of this study is the classification of musical impressions with long short-term memory (LSTM) approach using EEG recordings of 20 subjects, while listening to different music genres. For this purpose, a deep ... -
Parameter and feature selection in decision trees for the classification of musical impressions from EEG records
(2023)Reliable classification of different emotions is an important issue for emotional interaction between humans and computers. Therefore, this study aims at assessing the performance of decision trees in classifying musical ... -
Hybrid Tokenization Strategy for Turkish Abstractive Text Summarization
(2024)Text summarization is a significant topic in natural language processing. Tokenization approaches are important in this regard as they underpin text recognition and processing. The aim of this paper is to research the ... -
Konvolüsyonel sinir ağları (CNN) ile Çin sayı orüntülerinin sınıflandırması
(2021)The MNIST dataset, which has become a standard for Machine Learning and Deep Learning applications, is quite popular. In thisstudy, a dataset containing images of handwritten Chinese numbers is introduced as a variation ...
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