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Filtreler
Bulunan: 27 Adet 0.003 sn
Yayın Dili : eng ✕Tür : Makale ✕Dergi Sayısı : 1 ✕Dergi Sayısı : 1 ✕Tam Metin : var ✕
Koleksiyon [15]
İlgili Araştırmacılar [15]
Ambargo Durumu [1]
Tam Metin [1]
Veritabanı [1]
Eser Sahibi [19]
Tür [1]
Yayın Tarihi [8]
Yayıncı [11]
Kayıt Giriş Tarihi [14]
Dergi Sayısı [1]
Yayın Dili [1]
Konu Başlıkları [20]
Dergi Adı [8]
Editör/Editörler [3]
Erişime Açık

Comparison of three different orthodontic wires for bonded lingual retainer fabrication

ASLI BAYSAL |

Objective We evaluated the detachment force, amount of deformation, fracture mode, and pull-out force of 3 different wires used for bonded lingual retainer fabrication. Methods We tested 0.0215-inch five-stranded wire (PentaOne, Masel; group I), 0.016 × 0.022-inch dead-soft eight-braided wire (Bond-A-Braid, Reliance; group II), and 0.0195-inch dead-soft coaxial wire (Respond, Ormco; group III). To test detachment force, deformation, and fracture mode, we embedded 94 lower incisor teeth in acrylic blocks in pairs. Retainer wires were bonded to the teeth and vertically directed force was ap ...Daha fazlası

Makale 2012 The Korean Association of Orthodontists 23 Görüntülenme
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Relationship between odontogenic bacteremia and orthodontic stripping

TANCAN UYSAL

Introduction: The aim of this study was to evaluate the prevalence of bacteremia associated with an orthodontic stripping procedure. Methods: The study included 29 orthodontic patients (mean age, 18.2 6 3.4 years). We used a standardized stripping procedure: a perforated stripping disk with a contra-angle hand piece was used at a low speed (\15,000 rpm; 10 seconds) on the mandibular anterior teeth. Blood samples were collected by inserting a cannula into the left antecubital fossa. A baseline sample was taken before treatment, and a second sample was taken after the stripping procedure. T ...Daha fazlası

Makale 2013 American Journal of Orthodontics and Dentofacial Orthopedics 17 Görüntülenme
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Soft tissue effects of Twin Block and Herbst appliances in patients with Class II division 1 mandibular retrognathy

ASLI BAYSAL

tablo bulunmakta

Makale 2013 European Orthodontic Society 42 Görüntülenme
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Treatments of horizontal root fractures: four case reports

EBRU KÜÇÜKYILMAZ

Horizontal root fractures are rare in comparison to other types of injuries and the reported prevalence in the literature is between 0.5% and 7%. The treatment and prognosis of root fractures depend on many variables, the most important being the length of time between trauma and treatment, degree of dislocation and mobility, site of fracture, fixation period, stage of root development, age of patient, and quality of treatment. The ideal healing type is hard tissue healing. The aim of these case reports is to present four different patients who had horizontal root fractures of imma ...Daha fazlası

Makale 2013 Journal of Pediatric Dentistry1 ( 1 ) , pp. 1 - 23 7 Görüntülenme
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Thyroid Functions in Children with Cerebral Palsy and Effects of Phénobarbital on Thyroid Hormones

GALİP AKHAN

Thyroid function tests were performed on 44 patients with cerebral palsy (CP) and on 35 healthy children as the control group. In the panent group total triiodothyronin (TT3), total thyroxine (TT4), free triiodothyronin (FT3), free thyroxine (FT4) and thyroid-stimulating hormone (TSH) levels were found in wholly normal ranges. These values have shown no significant difference with respect to those of die control group (p>0.05). It was snüdng that -13 %, 41 % and 55 % of the padents were under 3 percentile according to length, weight and head circumference respectively. Thyroid funcdon tests of ...Daha fazlası

Makale 1995 Süleyman Demirel Üniversitesi 12 Görüntülenme
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Fabric Defect Classification Using Combination of Deep Learning and Machine Learning

Fatma Günseli YAŞAR ÇIKLAÇANDIR

Automatic systems can be used in many areas, such as the production stage in factories, country defense, and traffic control. They provide the opportunity to reach results faster with higher success rates thanks to human-computer vision cooperation. In this study, it is aimed to develop an intelligent system that automatically detects and classifies defects in fabrics. Thanks to the developed system, the cause of the malfunction is eliminated, and the recurrence of the malfunction is prevented. Using deep learning methods in fabric defect classification studies has a disadvantage compared to o ...Daha fazlası

Makale 2021 Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp. 2 - 27 30 Görüntülenme
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Modeling and optimum design for wire electrical discharge machining of γ titanium aluminide alloy

ÖMER FARUK BÜYÜKYAVUZ

Wire electrical discharge machining (WEDM) of γ titanium aluminide is the subject of the current research. Due to the large number of process variables and sophisticated stochastic process mechanisms, selecting the best machining parameter combinations for increased cutting efficiency and accuracy is a difficult task in WEDM. In general, there is no perfect combination that can produce the fastest cutting speed and the finest surface finish quality at the same time. For this purpose, the data were selected from a literature study. This study describes an attempt to devise a suitable machining ...Daha fazlası

Makale 2021 Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp. 8 - 95 21 Görüntülenme
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A Novel, Nelder-Mead Optimization Approach, based on Neuro-regression modeling for the Energy Efficiency Parameters of End Milling Process

ŞEYDA İŞBİLİR

Global crises are increasing day by day due to the rapid depletion of energy supplies around the planet. One of the goals of engineering is to prevent this situation by developing innovative solutions to this rapid energy consumption that has disappeared in the world. A solution could be to reduce the energy consumption of the machines that are used during production. In this study, a new design technique based on the neuro-regression approach and non-linear regression modeling was offered as an alternative to Taguchi design to reduce energy consumption. Thus, a cutting parameter optimization ...Daha fazlası

Makale 2021 Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp. 9 - 105 25 Görüntülenme
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Electron Beam Welding (EBW) of Aerospace Alloy (Inconel 825): Optimization and Modeling of Weld Bead Area

LEVENT AYDIN

This study investigates the optimum weld area on a popular aerospace alloy (i.e., Inconel 825) made by the electron beam welding technique. Welding speed (S), beam current (I), accelerating voltage (V), and beam oscillation (O) are considered as process parameters to study the weld bead area (WA) of the weldments. An instructive study on multiple non-linear neural regression analyses has been done as a basic introduction to neuro regression modeling with artificial neural network (ANN) philosophy. To do this, the experimental prediction has been modeled with 14 predictive functional structures ...Daha fazlası

Makale 2021 Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp. 1 - 115 34 Görüntülenme
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A Flower Status Tracker and Self Irrigation System (FloTIS)

Rumeysa KESKİN | Furkan GÜNEY | M. Erdal ÖZBEK

The Internet of Things (IoT) provides solutions to many daily life problems. Smartphones with user-friendly applications make use of artificial intelligence solutions offered by deep learning techniques. In this work, we provide a sustainable solution to automatically monitor and control the irrigation process for detected flowers by combining deep learning and IoT techniques. The proposed flower status tracker and self-irrigation system (FloTIS) is implemented using a cloud-based server and an Android-based application to control the status of the flower which is being monitored by the local ...Daha fazlası

Makale 2021 Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp. 4 - 50 29 Görüntülenme
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Turkish Character Usage in Text Classification

Ali Aycan KOLUKISA

Abstract This study is prepared to examine the effects of Turkish character usage on text data by using multiple classifiers. Regression Classifiers, SVM, NB-Classifiers, and ANN are frequently used in supervised learning methods, especially in classification problems. Regression classifiers generally come in two types: as Linear and Logistic. There are also more than one type of Naive Bayes classifier. In our study, after mentioning the properties of Linear Regression and Logistic Regression classifiers in general terms, why Logistic Regression is much more suitable for this study is explaine ...Daha fazlası

Makale 2021 Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp. 5 - 58 24 Görüntülenme
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Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models

İsmail AKDAĞ

Abstract In this study, machine learning-based models have been used to estimate the return loss parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The data set utilized, consisting of 544 instances, has been collected from the simulation software as a consequence of the parametric evaluation of the antenna design parameters. Distinct machine learning methods have been used on two different types of output data, complex and linear scattering parameters, and the models' prediction performance has been evaluated. In the single-output regression models, a mean-squ ...Daha fazlası

Makale 2021 Journal of Artificial Intelligence and Data Science1 ( 1 ) , pp. 6 - 70 19 Görüntülenme
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