Utku, Anıl

Dental radiography is used as an important diagnostic tool in the field of dentistry. Dental radiography provides detailed visualization of teeth, jaws and surrounding structures. Dental radiographs are manually interpreted by dentists for diagnosis and treatment purposes. Artificial intelligence methods are successfully applied to automate various image-related processes such as diagnosis and classification. In this study, a hybrid ConvViT model was developed to detect caries, fillings, impacted teeth, implants and normal teeth from dental radiography images. ConvViT combined the advantages of CNN and ViT architectures and provided more successful classification of dental radiography images. ConvViT was compared with popular pre-trained deep learning models such as ResNet-50, VGG-16, EfficientNetB0, and DenseNet201. Experimental results showed that ConvViT outperformed the compared models with 95% accuracy, 95% precision, 94% recall and 94% F-score. ConvViT makes a significant contribution to the development of artificial intelligence-based automatic diagnosis systems in the field of dentistry by effectively modeling both local and long-range features thanks to its hybrid structure.

AtıfScopus1

İncele

Açar, Gülistan; Cihangir, Salih; Omaç, Basri; Aydoğdu, Hacı Mehmet; Oflaz, Mücahit

Both pharmacological and material-based approaches aim to slow bacterial evolution toward resistance. In this context, imparting specific antibacterial properties to materials is essential. Traditionally, alloying was a method to equip entire metals with antibacterial features, such as incorporating small amounts of copper (Cu) and/or silver (Ag). However, due to the high cost and inherent limitations of alloying, surface modification processes have gained prominence. Recent antibacterial studies on copper have led to the application of Cu(Ag) electrochemical coatings on AISI430 steel surfaces. This study aims to combine copper’s antibacterial properties with enhanced corrosion resistance and surface hardness. The coatings were deposited using deep eutectic solvents, known for their environmentally friendly properties, followed by potentiodynamic analysis. Microstructural and phase distribution characteristics were examined through SEM-EDS analysis, while surface roughness was analyzed using profilometry. Transitioning from micro-disc electrodes to macro-scale AISI430 substrates, Cu(Ag) films containing 16% Ag demonstrated nanoscale roughness, approximately double the hardness, and superior corrosion resistance compared to conventional copper surfaces. Antibacterial tests compared the coated surfaces with untreated AISI430 steel. Results showed that Cu(Ag)-coated surfaces exhibited improved antibacterial properties. This study shows how Cu(Ag) electrochemical coatings can be used to make surfaces that are antibacterial, long-lasting, and resistant to corrosion.

İncele

Utku, Anil

Mobile devices, which are becoming more and more widespread today, have turned into hand-held computers thanks to the multimedia communication and applications. Today, the multimedia applications have been supported by traditional mobile phones. With their increasing functionality, mobile devices are used for many purposes such as enriched internet experience, financial transactions, access to social media platforms, sharing, music and video. Performing transactions where sensitive personal data transfers such as banking and shopping are carried out on mobile devices make mobile devices the target of attackers. In this study, a deep learning based malware detection system has been developed based on the interactions of mobile applications on the network. The developed LSTM-based deep learning model has been analysed comparatively with NB, RF, SVM, MLP, CNN, RNN and GRU using accuracy, precision, recall and F-1 metrics. The experimental results showed that the developed LSTM-based deep learning model is more successful in malware detection than others with 95% accuracy.

AtıfScopus4·WoS3·OpenAlex4·TR Dizin1

İncele

Yoǧurtçu, Hakan

In this study, the effects of microwave output power and slice thickness on microwave drying of apple slices were studied by using response surface method (RSM) in a modified domestic microwave oven. For experimental design, the central composite rotatable design approach was used. The values of response variables, effective diffusion coefficient, drying rate constant, color change, Hue angle, total drying time and energy consumption, were determined from the experiments performed under design conditions. It was seen that the obtained second order polynomial equations successfully represent the response variables. The results of analysis of variance (ANOVA) and response surface curves revealed that microwave output power and slice thickness were significantly effective on response variables. The effects of the independent variables on the responses and the significance level of these effects were evaluated statistically and the optimum drying conditions were determined for the aims of min color change, total drying time, energy consumption and max Hue angle. Verification experiments were performed with a maximum of 9.54% error at the recommended optimum test conditions. It has been shown that the response surface method can be successfully applied in the microwave drying of apples.

AtıfScopus6·WoS5·OpenAlex3·TR Dizin3

İncele

GuRBuZ, Meltem; Önal, Ayten Öztüfekçi; Basıbüyük, Zeynel; Akbudak, Ilkay Kaydu; İşler, Fikret

Yamadağ Volcanics which is one of the examples of the Late Miocene volcanism in Eastern Anatolia covers largeareas within the boundaries of Arguvan county of Malatya. The gemstones, subject of this research range from afew centimeters to about 30-40 cm in size and are formed in the cavities of the basalts beonging to Yamadağvolcanics. These gemstones seem to have formed as veins extending in east-west direction and consist of opal (opal-CT) and chrysocolla. Opal formations have various colours such as white, brown, yellow and greenish, while chrysocolla formations are bluish-greenish in color. both opal and chrysocolla are of massive type and their freshsurfaces display waxy luster. Mineral paragenesis and formation conditions of gemstones and are determined byapplying XRD, SEM, FT-IR techniques. ICP-MS technique is used for the determination of the geochemicalcompositions. The gemological characteristics are identified via cabochon and facet cut techniques by usingdiamond coating blade, sintered diamond abrasive discs and polishing machine. Opals are usually composed oftridymite minerals, also in some cases quartz and cristobalite minerals accompany the tridymite minerals. The EDXmeasurements reveal, enrichment of Fe and Al in opals, and of Cu in chrysocolla. The ICP-MS measurements, in chrysocollas reveal, enrichments in LIL elements such as Ba, Sr and in HFS elements such as U. Consequently,gemological studies show that the chrysocolla and opals in study area, which have waxy luster and massivestructure, are suitable for utilization as a gemstone due to its color, hardness, durability, homogeneous distributionof color and processability

AtıfTR Dizin1

İncele

Akbudak, Ilkay Kaydu; Basibüyük, Zeynel; Gürbüz, Meltem; Önal, Ayten Oztufekci; Isler, Fikret

Yamadag Volcanics which is one of the examples of the Late Miocene volcanism in Eastern Anatolia covers large areas within the boundaries of Arguvan county of Malatya. The gemstones, subject of this research range from a few centimeters to about 30-40 cm in size and are formed in the cavities of the basalts beonging to Yamadag volcanics. These gemstones seem to have formed as veins extending in east-west direction and consist of opal (opal-CT) and chrysocolla. Opal formations have various colours such as white, brown, yellow and greenish, while chrysocolla formations are bluish-greenish in color. both opal and chrysocolla are of massive type and their fresh surfaces display waxy luster. Mineral paragenesis and formation conditions of gemstones and are determined by applying XRD, SEM, FT-IR techniques. ICP-MS technique is used for the determination of the geochemical compositions. The gemological characteristics are identified via cabochon and facet cut techniques by using diamond coating blade, sintered diamond abrasive discs and polishing machine. Opals are usually composed of tridymite minerals, also in some cases quartz and cristobalite minerals accompany the tridymite minerals. The EDX measurements reveal, enrichment of Fe and Al in opals, and of Cu in chrysocolla. The ICP-MS measurements, in chrysocollas reveal, enrichments in LIL elements such as Ba, Sr and in HFS elements such as U. Consequently, gemological studies show that the chrysocolla and opals in study area, which have waxy luster and massive structure, are suitable for utilization as a gemstone due to its color, hardness, durability, homogeneous distribution of color and processability.

AtıfOpenAlex12

İncele

Alatas, Bilal; Akyol, Sinem

Metasezgisel algoritmalar, büyük boyutlu optimizasyon problemleri için, kabul edilebilir sürede optimuma yakın çözümler verebilen algoritmalardır. Genel amaçlı metasezgisel optimizasyon algoritmaları; biyoloji tabanlı, fizik tabanlı, sürü tabanlı, sosyal tabanlı, müzik tabanlı, spor tabanlı ve kimya tabanlı olmak üzere yedi farklı grupta değerlendirilmektedir. Sürü zekâsı tabanlı optimizasyon algoritmaları kuş, balık, kedi ve arı gibi canlı sürülerinin hareketlerinin incelenmesiyle geliştirilmiştir. Veri madenciliği, büyük ölçekli verilerden anlamlı ve faydalı bilginin keşfedilmesi işlemidir. Sınıflandırma kurallarının madenciliği üzerinde en çok çalışılan veri madenciliği problemlerinden biridir ve bu problemde veri kümelerinden kullanıcıların rahatça anlayabileceği kurallar çıkarılmaktadır. Bu çalışmada, en güncel sürü zekâsı optimizasyon algoritmalarından Kedi Sürüsü Optimizasyonu (KSO) bildiğimiz kadarıyla ilk kez nümerik ya da karışık tipte verilerden oluşan veritabanlarında sınıflandırma kurallarının otomatik keşfinde kullanılmıştır. Kuralda yer alabilecek ilgili niteliklerin doğru aralıkları için bir ön işlem kullanılmamış, kurallarla birlikte otomatik olarak bulunması da KSO tarafından sağlanmıştır. Ayrıca, kullanılan amaç fonksiyonu çok esnektir ve farklı amaçlar kolaylıkla fonksiyona entegre edilebilir. Bu amaçla, UCI veri ambarından alınan 4 adet veritabanı kullanılmış; doğru ve anlaşılabilir sınıflandırma kuralları keşfedilmiştir. Bulunan sonuçlarla Weka programından elde edilen sonuçlar karşılaştırılmıştır. KSO algoritması üzerinde herhangi bir iyileştirme yapılmadığı ve bu alanda ilk kez kullanıldığı halde, elde edilen sonuçların umut verici olduğu gözlenmiştir.

AtıfTR Dizin7

İncele

Akyol, Sinem; Alatas, Bilal

Optimization is the process of finding the best solution of a problem. There are many optimization algorithms proposed for optimization problems. The metaheuristic algorithm can give solutions close to optimum in an acceptable period of time for large-scaled optimization problems. The metaheuristic optimization algorithms are evaluated in seven different groups which are biology-based, physics-based, swarm-based, social-based, music-based, sport-based, and chemistry-based. The swarm-based optimization algorithms have been developed by observing the behaviors of creatures e.g. birds, fishes, cats, bees etc. Data mining is the process of discovery of meaningful and useful data within huge databases. Classification rules mining is one of the most commonly studied data mining problems and with methods for this problem, users can easily understand the rules extracted from databases. In this work, one of the most recent swarm based optimization algorithm, Cat Swarm Optimization (CSO), has been firstly used for classification rules mining within databases composed of numerical or mixed data types automatically. There is not any preprocess for finding true ranges for appropriate attributes of the rules, this has been automatically done by CSO. Furthermore, the used objective function is very flexible and many different objectives can easily be added to. For this purpose, four numerical databases obtained from UCI data warehouse have been used and accurate and comprehensible classification rules have been mined. The results have been compared with the results obtained from Weka program. Although CSO has not been embedded with any improvement and has firstly implemented in this research area, the obtained results seem promising.

AtıfWoS9·OpenAlex4

İncele

Mete, Suleyman; Agpak, Kursad

Assembly of large size products like bus, truck and automobile can perform both sides of assembly line. In such cases, both sides (right and left) of the line are used to achieve for the assembly operation. These types of the lines are called as two sided assembly lines. When large size products are produced, sometimes they require a specific machine or a qualified staff to use this machine. This condition also exposes the problem of resource constraint. Therefore, in this study, a mathematical model for generalized resource constraint two sided assembly line balancing problem is presented, based on literature models and computational analysis is performed for multi-objective situation. Proposed model is run and analyzed over several known test problems by considering three objective functions (Minimization number of station, number of position and resource cost).

AtıfWoS8

İncele

Gönen, Tahir; Yazicioglu, Salih

Lightweight concrete has important advantages, especially in terms of earthquakes. Besides, the production of lightweight concrete with lightweight aggregate is a problem, because workability of lightweight concrete is difficult. If self compaction property can be added to the lightweight concrete, this negativity can be removed. In this study, mechanical properties of self compacting lightweight concrete (SCLWC) containing expanded perlite and pumice aggregates were investigated. Moreover, mechanical properties of self compacting (SCC) and lightweight (LC) concrete were investigated by being compared with SCLWC. Powder phase of self compacting lightweight concrete was consisted of CEM I 42.5 N cement type and C class fly ash. Pumice and expanded perlite aggregates were used in aggregate phase. Compressive strength and flexural tensile strength at 7, 28 and 90 days were determined on specimens were cured in water and air at the same ages. Obtained test results showed that SCLWC of 50 MPa compressive strength at 28 days can be produced by the use of lightweight aggregate and this concrete was not effect to curing condition as much as conventional concrete.

AtıfWoS1

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