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Bulunan: 4 Adet 0.000 sn
Konu Başlıkları : Machine Learning ✕Atıf Dizini : Scopus ✕
Koleksiyon [3]
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Erişime Açık

Time and volume-ratio effect on reusable polybenzoxazole nanofiber oil sorption capacity investigated via machine learning

OFLAZ, Kamil | OFLAZ, Zarina | ÖZAYTEKİN, İlkay | BASTUGAN, Rabia

Diesel oil sorption capacities (DOSCs) of polybenzoxazole/polyvinylidenefluoride nanofiber mats with four different groups (-O-, -S-S-, phenylene anddiphenylene) in the main chain structures were investigated. Different experi-mental duration and diesel-oil/tap-water volume ratio pairs were used for dieseloil sorption. No degradation was observed in the nanofiber mat structures afterdiesel oil sorption. The characterizations of polybenzoxazole (PBO) nanofiberswith high diesel oil selectivity were performed by scanning electron microscopy,atomic force microscopy, Fourier transform infrared spec ...Daha fazlası

Makale 2021 Journal of Applied Polymer Science Wiley 8 Görüntülenme
Erişime Açık

A Hybrid Method for Rating Prediction Using Linked Data Features and Text Reviews

YUMUŞAK, Semih | MUÑOZ, Emir | MİNERVİNİ, Pasquale | DOĞDU, Erdoğan | KODAZ, Halife

This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as 'good' or 'bad' by mining Linked Data. The original labels are assigned according to aggregated critic scores published by the Metacritic website. To this end, the challenge provides datasets that contain the DBpedia reference for music albums. Our approach benefits from Linked Data (LD) and free text to extract meaningful features that help distinguishing between these two classes of music albums. Thus, our features can be summarized as follows: (1) direct object LD ...Daha fazlası

Konferans Bildirisi 2016 CEUR-WS 7 Görüntülenme
Erişime Açık

Early autism diagnosis of children with machine learning algorithms

BÜYÜOFLAZ, Fatiha Nur | ÖZTÜRK, Ali

Autism Spectrum Disorder (ASD) is a neuro-developmental disorder that has become one of the major health problems, and early diagnosis has a great deal of important in terms of controlling the disease. The increase in the number of autoimmune influenza and ASD cases in the world reveals an urgent need to develop easily applied and effective screening methods In this study, performance comparisons were made using three different classification methods, Naive Bayes, IBk (k-nearest neighbors), RBFN (radial basis function network), and Random Forest, on UCI 2017 Autistic Spectrum Disorder Screenin ...Daha fazlası

Konferans Bildirisi 2018 Institute of Electrical and Electronics Engineers Inc. 5 Görüntülenme
Erişime Açık

Comparison of machine learning algorithms on different datasets

UYSAL, Elif | ÖZTÜRK, Ali

Machine learning algorithms are methods used to classify data. Aim of this study is comparison of machine learning algorithms on different datasets. For this study, 9 different machine learning algorithms with 10 fold cross validation method in WEKA is classified on 3 different datasets. As a result of classification, machine learning algorithm which has high accuracy rate is different for 3 datasets. Multilayer Perceptron algorithm for Car Evaluation dataset, Random Forest algorithm for Image Segmentation dataset and Simple Logistic algorithm for User Knowledge Modeling dataset were obtained. ...Daha fazlası

Konferans Bildirisi 2018 Institute of Electrical and Electronics Engineers Inc. 6 Görüntülenme
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