Eğitim sektörünün giderek büyüyen yapısında, yükseköğretim kurumları, öğrenci performansının akademik olarak iyileştirilmesi ve öğrencilerin okulu bırakmalarını önlemek için veri madenciliği araçlarını ve tekniklerini kullanmaktadır. Veriler sosyo-ekonomik, de…
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652 results for “statistical data analysis”
Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…
In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …
Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…
Meriç River is the longest river ecosystem of the Balkans and most lotic ecosystem in Thrace Region of Turkey. Tunca River is one of the most important tributary of Meriç River. Therefore it is significantly effective on the water quality of Meriç River. In …
This study was carried out in the pure oriental beech forests of Yenice-Kızılkay in the Western Black Sea Region of Turkey, where the changes in the number of side roots and the changes in the height and diameter of the beech trees were examined in three diffe…
Several statistical analyses of the Pisarenko harmonic decomposition (PHD) method for frequency estimation of a single real sinusoid in noise have been carried out in the literature. However, all of the analyses consider the phase of the sinusoid as a constant…
3 + 1 Training Model have been developed in vocational high schools in Turkey in order to train the qualified personnel needed by the industry with the technology and knowledge of the day at the right time. In this training model, the students receive 3 semest…
Today, with the rapidly development of technology, artificial neural networks (ANN) usage as an alternative to statistical methods increase in many fields such as finance sector, medical science, defense industry, production, robot systems, image processing an…
The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …
Several test suites have been developed to test the statistical properties of random numbers generated from pseudotrue random number generators. Some of these are Crypt-X, Diehard, FIPS 140, NIST 800-22 AIS31 test suites. In this study, web based application o…
Hardox çelikler mükemmel aşınma direncine sahip, ultra yüksek mukavemetli, kayma ve darbe aşınmasına karşı dayanıklı martensitik çeliklerdir. Madencilik ve inşaat mühendisliği endüstrisinde ağır makineler ana uygulama alanıdır. Bu çalışmada, Hardox 400 çeliğ…
Nowadays, very large quantities of data are produced both individually and institutionally. These data must be preserved very well in order to be able to access and process them as needed. This situation necessitates data recovery services in possible disast…
Bu çalışma, Ailevi Akdeniz Ateşi (AAA) hastalığına özgü bir veri setini analiz etmek için K-means kümeleme ve Kruskal-Wallis istatistiksel testini kullanan kapsamlı bir araştırmadır. Çalışmanın ana hedefi, AAA hastalarının kolşisin tedavi yanıtlarını etkileyen…
Son yıllarda insan yaşamını tehdit eden doğal afetlerden biri de heyelanlardır. Ülkemizde özellikle karadeniz bölgesinin gerek eğim gerekse yıllık toplam yağış miktarları, heyelanların nedenleri arasında gösterilmektedir. Bu çalışma kapsamında doğu karadeniz b…
For many years, the biggest problem in the preparation of landslide susceptibility maps has been experienced in the selection of parameters. Each parameter gives different results in different fields. Some of these parameters can be generally evaluated while o…
Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data. Real-world industrial datasets frequently exhibit signific…
In recent years, the financial sector has been considerably developed, especially in electronic banking. As individual users in the financial sector use e-banking and e-finance systems, the concept of loyalty in the banking sector has shifted from traditional …
At the last two decades the information world and associated information technologies have been progressed. This progress can be implemented from the concept of the internet to the internet of things. The Internet of things (IoT) refers to billions of electron…
Machine learning and artificial intelligence have become an integral part of people's culture, influencing the lives of most people today. Machine learning is a subset of data science that uses statistical models to create insights and predictions. Machines sh…