Mühendislik Fakültesi
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Neural Network Predictive Models for Alkali-Activated Concrete Carbon Emission Using Metaheuristic Optimization Algorithms
(2024)Due to environmental impacts and the need for energy efficiency, the cement industry aims to make more durable and sustainable materials with less energy requirements without compromising mechanical properties based on UN ... -
Explainable machine learning model for predicting punching shear strength of FRC flat slabs
(2024)Reinforced concrete slabs are vulnerable to punching shear failure at the slab-column joint, which can initiate catastrophic progressive collapse. The addition of steel fibers in the concrete matrix has emerged as an ... -
Cooling load prediction of a double-story terrace house using ensemble learning techniques and genetic programming with SHAP approach (
(2024)Since the cooling systems used in buildings in hot climates account for a significant portion of the energy consumption, it is very important for both economy and environment to accurately predict the cooling load and ... -
Explainable Ensemble Learning and Multilayer Perceptron Modeling for Compressive Strength Prediction of Ultra-High-Performance Concrete
(2024)first_pagesettingsOrder Article Reprints Open AccessArticle Explainable Ensemble Learning and Multilayer Perceptron Modeling for Compressive Strength Prediction of Ultra-High-Performance Concrete by Yaren Aydın 1ORCID,Celal ... -
Explainable ensemble learning graphical user interface for predicting rebar bond strength and failure mode in recycled coarse aggregate concrete
(Elsevier, 2024)Novel study deploys robust machine learning algorithms using newly built comprehensive dataset to predict reinforcing rebar-to-recycled coarse aggregate concrete (RCA) bond strength and failure mode. Prior investigations ... -
Türkçe hibrit metin özetleme için aday özet eleme yaklaşımı
(2024)The importance of text summarization in the field of natural language processing has increased significantly in recent years. With increasing amounts of text data, it is crucial to develop effective methods for automatic ... -
New additions to the guitar family: Lego and automatic microtonal guitars
(2022)One of the modern classical guitar’s biggest strengths is also one of its biggest weaknesses. The instrument depends on an equal temperament fretboard system that has lent itself to brilliant repertoire and ease ... -
Web application firewall based on anomaly detection using deep learning
(2022)Anomali tespiti, farklı sektörlerde ve uygulama alanlarında araştırılmaya devam etmektedir. Anomali tespitindeki temel zorluk, benzersiz özelliklere ve yeni değerlere sahip bir girdi ile karşılaşılması durumunda normallerden ... -
Farklı dispersiyon tekniklerinin elektroeğirilmiş karbon nanotüp/ termoplastik poliüretan nanokompozitlerin elektromekanik özelliklerine etkisinin deneysel incelenmesi
(2022)In this study, a detailed investigation on the influence of different dispersion methods that are magnetic stirring (MK), ultrasonic bath (UB), and ultrasonication (S) of the electrospun CNTs/ TPU nanocomposite on their ... -
Production and mechanical characterization of polyethylene matrix composites with the addition of linen and cotton waste fabric filler materials
(2022)In this study, linen and cotton fibers obtained from fabric waste were used as filler materials and polyethylene was used as matrix material to produce fiber reinforced polymer composites using injection molding. Use of ... -
Optimization of axial load carrying capacity of CFST stub columns
(2022)Concrete filled steel tubular (CFST) columns are widely used due to their enhanced mechanical properties. The interaction between the concrete core and the steel casing increases structural stability and magnifies the ... -
A comprehensive database analysis of post-translational modifications with chemical and functional categories. A throughout PTM study of 2022 databases.
(2023)One of the most important mechanisms that directly affect protein diversity and function is post-translational modification, which has grown exponentially and now encompasses a vast quantity of data. In order to better ... -
GWP değeri düşük soğutucu akışkanlı, iç ısı değiştiricili soğutma sisteminin modellenmesi
(2023)Soğutma hem gıdaların güvenliği hem de pandemi sürecindeki örnekleri ile hayatımızın her alanında kitlesel bir büyüklüktedir. Yaygın olarak kullanılan soğutma sistemlerinde kazanılacak ufak bir verim artışı, soğutma ... -
Bir açık ocak örneğinde yamaç molozu akma mekanizmasının belirlenmesi
(2023)On 17 November 2016, 16 workers lost their lives as a result of a landslide in an open pit copper mine in Madenköy district of Siirt province in southeastern Turkey. The main aims of this study is to investigate the causes ... -
2-D microstructure modeling based on micrographs of laser powder bed fusion melted specimens
(2024)Optik mikrograflara dayalı 2 boyutlu mikroyapısal modelleme başarıyla gerçekleştirildi. Füzyon sınırları ve fazlar gibi mikroyapısal özellikleri içeren gerçekçi bir mikroyapısal modelin oluşturulmasıyla mikroyapı ve özellik ... -
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]