Güncel Gönderiler: Fakülteler
Toplam kayıt 6779, listelenen: 5161-5180
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Biyosentetik gümüş nanopartiküllerinin Pyracantha coccinea bitkisinin gövde eksplantlarının yüzey sterilizasyonunda kullanımı
(2017)Nanoteknoloji günümüzde birçok alanda etkili olarak kullanılmaktadır. Gümüş uygulamalarda nanopartiküllerin biyosentezi (yeşil sentez), fiziksel ve kimyasal sentezlere alternatif olarak kullanılan bir yöntemdir. Bu çalışmada, ... -
Retina Hastalıklarında Fundus Floresein Anjiografi Testi Üzerinden Lazer Uygulamasını Destekleyen Bilgisayar Programının Geliştirilmesi
(2016)Amaç: Diabetik Retinopati olgulu gözlerde laser tedavi tekniğini kolaylaştıracak, asistan doktor eğitimleri sırasında tedavi tekniğinin anlatılmasına yardımcı olacak şekilde bir model tasarlanması amaçlandı.Gereç ve Yöntem: ... -
Tıbbi Cihazların Sterilizasyonunun Proses Validasyonu için Hazırlanan Boya-Akrilamid/İtakonik Asit Jel Dozimetresi
(2021)Amaç: Bu çalışmada tıbbi cihazların sterilizasyonunun proses validasyonu için kullanılacak yeni bir polimer jel dozimetre (PGD), gama ışınları kullanılarak hazırlanmıştır. İtakonik asit, akrilamid, jelatin, farklı boyalar ... -
Computer-Aided Detection of COVID-19 from CT Images Based on Gaussian Mixture Model and Kernel Support Vector Machines Classifier
(Springer Science and Business Media Deutschland GmbH, 2022)COVID-19 is a virus that has been declared an epidemic by the world health organization and causes more than 2 million deaths in the world. To achieve this, computer-aided automatic diagnosis systems are created on medical ... -
Gender Determination from Pictures with CNN Models
(Institute of Electrical and Electronics Engineers Inc., 2021)Today, it is desired to make various inferences from images quickly with artificial intelligence methods. One of the most important reasons for this is the increase in social media environments. On the other hand, it is ... -
A novel ensemble fuzzy classification model in SARS-CoV-2 B-cell epitope identification for development of protein-based vaccine
(Elsevier Ltd, 2022)B-cell epitope prediction research has received growing interest since the development of the first method. B-cell epitope identification with the aid of an accurate prediction method is one of the most important steps in ... -
Yenidoğan kuzularda bilgisayar destekli tanı
(Pamukkale Univ, 2020)In our country, the number of small ruminant animals is decreasing day by day due to various reasons. In parallel with the decrease in the number of small ruminants, significant decreases are seen in animal production. One ... -
Modeling of atmospheric particulate matters via artificial intelligence methods
(Springer, 2021)Nowadays, pollutants continue to be released into the atmosphere in increasing amounts with each passing day. Some of them may turn into more harmful forms by accumulating in different layers of the atmosphere at different ... -
Knee Meniscus Segmentation and Tear Detection from MRI: A Review
(Bentham Science Publ Ltd, 2020)Background: Automatic diagnostic systems in medical imaging provide useful information to support radiologists and other relevant experts. The systems that help radiologists in their analysis and diagnosis appear to be ... -
Tomato Leaf Disease Detection and Classification using Convolutional Neural Networks
(Institute of Electrical and Electronics Engineers Inc., 2020)Automatic classification process in images has been used in many fields, especially agriculture and medical fields in recent years. Especially in our country, image processing studies are needed to improve agriculture and ... -
Video-based emotion recognition in the wild
(Academic Press Ltd-Elsevier Science Ltd, 2019)[No Abstract Available] -
Predicting CO and NOx emissions from gas turbines: novel data and a benchmark PEMS
(Tubitak Scientific & Technical Research Council Turkey, 2019)Predictive emission monitoring systems (PEMS) are important tools for validation and backing up of costly continuous emission monitoring systems used in gas-turbine-based power plants. Their implementation relies on the ... -
Portfolio Optimization via a Surrogate Risk Measure: Conditional Desirability Value at Risk (CDVaR)
(Springer International Publishing Ag, 2019)A risk measure that specifies minimum capital requirements is the amount of cash that must be added to a portfolio to make its risk acceptable to regulators. The 2008 financial crisis highlighted the demise of the most ... -
Fixing distortions on images
(Institute of Electrical and Electronics Engineers Inc., 2020)People have long desired editing the defects on images and, removing or altering the corrupt regions of image data in a way that would not be detected by the neutral observer unaware of the original copy. Utilizing computers ... -
Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak
(Institute of Electrical and Electronics Engineers Inc., 2020)The Covid-19 outbreak appeared in Wuhan in December 2019 and spread rapidly all over the world. The Covid-19 disease does not yet have a clinically proven vaccine and drug for treatment. The most important physical factors ... -
Predicting depression and emotions in the cross-roads of cultures, para-linguistics, and non-linguistics
(Association for Computing Machinery, Inc, 2019)Cross-language, cross-cultural emotion recognition and accurate prediction of affective disorders are two of the major challenges in affective computing today. In this work, we compare several systems for Detecting Depression ... -
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images
(Elsevier, 2019)Menisci are structures that directly affect movement, so early detection of meniscus tears also helps to prevent progressive knee disorders such as osteoarthritis. Manual segmentation of the menisci and diagnosis of the ... -
Hierarchical Two-Level Modelling of Emotional States in Spoken Dialog Systems
(IEEE, 2019)Emotions occur in complex social interactions, and thus processing of isolated utterances may not be sufficient to grasp the nature of underlying emotional states. Dialog speech provides useful information about context ... -
Movie Emotion Estimation with Multimodal Fusion and Synthetic Data Generation
(IEEE, 2019)In this work, we propose a method for automatic emotion recognition from movie clips. This problem has applications in indexing and retrieval of large movie and video collections, summarization of visual content, selection ... -
Oak Leaf Classification: An Analysis of Features and Classifiers
(IEEE, 2019)Automatic classification of trees from leaves is a popular computer vision/machine learning task and has important applications in monitoring of forest wealth. While the final aim is preparing an application, which is ...
