Güncel Gönderiler: Mühendislik Fakültesi
Toplam kayıt 228, listelenen: 1-20
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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 ... -
Evaluation-focused multidimensional score for Turkish abstractive text summarization
(Sakarya University, 2024)Despite the inherent complexity of Abstractive Text Summarization, which is widely acknowledged as one of the most challenging tasks in the field of natural language processing, transformer-based models have emerged as ... -
Influence of anisotropy on the deformation behaviour in microtensile 316L steel specimens fabricated by laser powder bed fusion (PBF-LB/M)
(2023)Laser powder bed fusion of metals (PBF LB/M) allows fabrication of intricate structures without any need of tools and moulds. In this process the building orientation becomes a significant issue for the complex structures. ... -
Analyzing the influence of the investment casting process parameters on microstructure and mechanical properties of open-pore Al–7Si foams
(2023)Aluminum alloy foams with high specific compressive strength and good energy absorption capacity are widely used as structural materials and shock absorbers. The investment casting process offers an interesting opportunity ... -
Mechanical performance of reverse-engineered resin foam structures developed by image processing on the computed tomography data: A revisit
(2023)Using digital design methods, additive manufacturing processes enable us to create novel complex structures. In the current study, 3 and 10 ppi, density-graded, and merged foams (digitally joined 3 and 10 ppi) were ... -
Influence of additional strut elements in 3D Re-Entrant auxetic unit cells on the damage and energy absorption properties
(2024)Background Geometric parameter optimization, novel design, and mechanism modeling of auxetic materials have been widely studied. However, manipulating the topology of the 3d printed auxetic unit cells and its influence ... -
Relation between Tensile Strut and Compressive Foam Deformation Behaviour: Failure Mechanisms and the Influence of Dendritic Versus Globular Grain Structure in an AlSi7Mg0.3 (A356) Precision‐Cast Open‐Cell Foam
(2024)Open-cell aluminum foams are gaining importance for the design of lightweightstructures and as electrodes in lithium-ion batteries. AlSi7Mg0.3 foams areproduced by a modified investment casting process. By tuning the mold ... -
Fatigue and corrosion-fatigue behavior of the β-metastableTi-5Al-5Mo-5V-3Cr alloy processed by laser powder bedfusion
(2024)We performed rotating bending tests and axial (tension-compression) loadincrease and constant amplitude high-cycle fatigue tests in air and Hanks' balanced salt solution (HBSS) on the β-metastable titanium alloy Ti-5Al-5Mo-5V3Cr, ... -
Modification of open-cell cast aluminum-silicon foams with strontium
(2024)The mechanical properties of open-cell aluminum foams can be influenced by enhancing the microstructure of the struts. The foams produced by investment casting face slow cooling rates, which makes it challenging to improve ... -
A mathematical computer model for estimating phase weight/ atomic fractions for iron slags’ system (SiO2-Al203-CaO-MgO) at subsolidus temperatures
(Springer, 2023)In this study, the 3 dimensional description of the quaternary subsolidus slag system aluminasilicacalciamagnesia is evaluated using Mathematica programming based on previous experimental research data. The lever rule ... -
Ayrık sinyaller
(Palme Yayınevi, 2022)Ayrık Sinyaller kitabında ülkemiz öğrencilerine ana dillerinde temel bilgi vermeyi hedefle miştir. Ana dilimizde yeterli kaynak olmadığı ve öğrencilerin yabancı dil bilgilerinin yetersizliği de göz önüne alındığında ana ...
