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652 results for “statistical data analysis”

Research Article Open Access Innovative Trend Analysis of Annual Precipitation in Southeastern Anatolia Region, Turkey
Barış Yılmaz, Yılmaz B, Umut Okkan, Okkan U
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Trend analysis of precipitation play a significant role in the efficient water resources management, especially in arid and semi-arid regions. In this study, 48 years-long (1970-2017) annual precipitation data monitored at nine selected stations (Mardin, Adı…

Research Article Open Access Improving Computational Performance of Least Squares Multiple Birth Support Vector Machines with k-Means Clustering
Güvenç Arslan, Arslan G, Nisa Nur Bülbül, Bülbül N
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.010

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…

Research Article Open Access Water Quality Monitoring of Meriç and Tunca Rivers (Edirne, Turkey) in Rainy Season
Cem Tokatlı, Tokatlı C
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

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 …

Research Article Open Access Determination on The Number of Roots in Pure Oriental Beech (Fagus orientalis Lipsky.) Forests in Karabük-Yenice District of Turkey
Hali Barış Özel, Özel H, Nebi Bilir, Bilir N
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

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…

Research Article Open Access An Exact Variance Expression of Pisarenko’s Method for Frequency Estimation of a Single Real Sinusoid: Random Phase Case
Betofe Mboyo  Keyta  , Keyta   B, Erdoğan  Dilaveroğlu  , Dilaveroğlu   E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

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…

Research Article Open Access Karar Ağacı Algoritmalarıyla Öğrencilerin Akademik Performans Verilerinin Sınıflandırılması
Büşra  Duygu, Duygu B, Nursal Arıcı, Arıcı N
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

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…

Research Article Open Access Comparison of Expectations and Satisfaction of Vocational Students from Training Model
Veli Erdinç Ören, Ören V, Tuba Şahin Ören, Şahin Ören T
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

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…

Research Article Open Access Web Based AIS31 Test Software For Random Number Generators
Erdinç Avaroğlu, Avaroğlu E, Recai Sinekli, Sinekli R, Veli Yıldız, Yıldız V, Hakan Gülcan, Gülcan H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

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…

Research Article Open Access HARDOX 400 ÇELİĞİNİN FARKLI İŞLEME PARAMETRELERİNDE ELEKTRO EROZYON TEZGÂHINDA BAKIR ELEKTROT İLE İŞLENEBİLİRLİĞİNİN DENEYSEL VE İSTATİKSEL OLARAK ARAŞTIRILMASI
Engin Nas, Nas E, Fuat Kara, Kara F, Nursel Altan Özbek, Altan Özbek N
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

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…

Research Article Open Access Ailevi Akdeniz Ateşi'nde Kolşisin Tedavisinin Makine Öğrenmesi Analizi
Muhammet İkbal Yıldız, Yıldız M, Salim Ceyhan, Ceyhan S
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.017

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…

Research Article Open Access Giresun İline ait Coğrafi Bilgi Sistemleri Destekli Heyelan Duyarlılık Haritalarının Üretilmesi
Mehmet Ali Dereli, Dereli M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.132

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…

Research Article Open Access Effect of Stream Distance on Landslide
Seda Çellek, Çellek S
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

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…

Research Article Open Access Forecast of Daily Average Air Temperature by Artificial Neural Networks: Yozgat Province Case
Tolga Hayıt, Hayıt T, Ömer Dağıstanlı, Dağıstanlı Ö, Gökalp Çınarer, Çınarer G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

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…

Review Open Access Seismic Data Analysis with Deep Learning Models: Methods, Applications, and Future Perspectives
Betül Ağaoğlu, Ağaoğlu B, İman Askerzade, Askerzade İ, Gazi Erkan Bostancı, Bostancı G, İhsan Tolga Medeni, Medeni İ
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00120

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…

Research Article Open Access Financial Machine Learning
Veysel Yılmaz, Yılmaz V
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.035

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…

Review Open Access Data Sets and Software Libraries Used for Deep Learning
Özkan İnik, İnik Ö, Erkan Ülker, Ülker E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

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 …

Review Open Access Bulut Bilişimde Felaket Kurtarma Tekniklerinin İncelenmesi
Abdülkadir Özdemir, Özdemir A, Baki Gökgöz, Gökgöz B
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

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…

Research Article Open Access Execution Certificates for Open Finance: Auditable Data Availability, Latency, and Cost in Learned Lead–Lag Trading
Eric Benhamou, Benhamou E, Jean-Jacques Ohana, Ohana J, Beatrice Guez, Guez B, Thomas Jacquot, Jacquot T, Ethan Setrouk, Setrouk E, Chamyl Saadi, Saadi C
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.2.001

Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …

Research Article Open Access Determination of Updated Tectonic Structure of Turkey Utilizing Gravity Data
Ali Elmas, Elmas A
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

The updated structural discontinuities of Turkey are determined utilizing Bouguer gravity data in this study. Total horizontal gradient technique was used to reveal the lineaments. This technique is applied to first vertical derivative values of regional gra…

Review Open Access Comparative Review of Machine Learning Methods in Revenue Forecasting
Ali Taghiyev, Taghiyev A, Özkan İnik, İnik Ö
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.54.001

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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