Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Seda Postalcioglu"'
Autor:
Seda Postalcioglu, Senem Aktas
Publikováno v:
Hittite Journal of Science and Engineering, Vol 7, Iss 3, Pp 215-221 (2020)
F or this study Sentiment Analysis SA is applied for the music comments using different Neural Network NN Models. SA is commonly used for Natural Language Processing NLP . With the help of NLP, the evaluations / tips about the future can be obtained
Externí odkaz:
https://doaj.org/article/2f5f7e2160544783bd0b5dec9df7e7a3
Autor:
Seda Postalcioglu
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 65 (2022)
Abstract Covid-19 is today's pandemic disease and can cause the hospital crowded. Additionally, It affects the lungs and may cause pneumonia. The most popular technique for diagnosis of pneumonia is the evaluation of X-ray. However, a sufficient numb
Externí odkaz:
https://doaj.org/article/7b8a369595f740809387738334cc13e1
Publikováno v:
Journal of Thermal Analysis and Calorimetry. 148:533-549
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52246aca9c791734bd281ced151c493e
https://doi.org/10.1007/s10973-022-11669-x
https://doi.org/10.1007/s10973-022-11669-x
Autor:
Seda Postalcioglu
Publikováno v:
WSEAS TRANSACTIONS ON COMPUTERS. 20:199-206
This study focused on the classification of EEG signal. The study aims to make a classification with fast response and high-performance rate. Thus, it could be possible for real-time control applications as Brain-Computer Interface (BCI) systems. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62990d50b672f9b9035d0ef45ebdfee4
https://doi.org/10.37394/23205.2021.20.21
https://doi.org/10.37394/23205.2021.20.21
Autor:
Seda Postalcioglu
Publikováno v:
International Journal of Neural Networks and Advanced Applications. 7:39-41
The heart disease diagnosis system is proposed inthis study. This kind of diagnosis systems enhance medical careand helps doctors. In this paper, heart disease dataset fromkaggle web site is used. Neural Network is examined andanalyzed for different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c415fd6c2bb292477b6901e2104ebc32
https://doi.org/10.46300/91016.2020.7.5
https://doi.org/10.46300/91016.2020.7.5
Publikováno v:
Environmental Technology. 38:443-455
There are more than a hundred textile industries in Turkey that discharge large quantities of dye-rich wastewater, resulting in water pollution. Such effluents must be treated to meet discharge limits imposed by the Water Framework Directive in Turke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::625352813c4c326a000f4bb63cba0971
https://doi.org/10.1080/09593330.2016.1196741
https://doi.org/10.1080/09593330.2016.1196741
Autor:
Seda Postalcioglu, Arda Yalcuk
Publikováno v:
International Journal of Environmental Science and Technology. 12:1503-1514
Pool water must have a certain quality parameters for the vital processes of trout. For this purpose, monitoring of a pool water quality of trout farms is realized using fuzzy logic with graphical user interface (GUI). Pool water qualities of four tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f65447309050ea676b859c01ac019dd6
https://doi.org/10.1007/s13762-014-0536-9
https://doi.org/10.1007/s13762-014-0536-9
Autor:
Seda Postalcioglu
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 34:2051003
Deep learning refers to Convolutional Neural Network (CNN). CNN is used for image recognition for this study. The dataset is named Fruits-360 and it is obtained from the Kaggle dataset. Seventy percent of the pictures are selected as training data an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::965101de638044a917027e6524348583
https://doi.org/10.1142/s0218001420510039
https://doi.org/10.1142/s0218001420510039
Autor:
Seda Postalcioglu, Kadir Erkan
Publikováno v:
Neural Computing and Applications. 18:77-85
Ideally, when faults happen, the closed-loop system should be capable of maintaining its present operation. This leads to the recently studied area of fault-tolerant control (FTC). This paper addresses soft computing and signal processing based activ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::689bcec2878790a8ffba5e52c993c3f0
https://doi.org/10.1007/s00521-007-0159-x
https://doi.org/10.1007/s00521-007-0159-x
Autor:
Seda Postalcioglu, Yasar Becerikli
Publikováno v:
Neural Computing and Applications. 16:433-441
This study presents a nonlinear systems and function learning by using wavelet network. Wavelet networks are as neural network for training and structural approach. But, training algorithms of wavelet networks is required a smaller number of iteratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ea75aad6382bd69a7e1857ce159ba4f
https://doi.org/10.1007/s00521-006-0069-3
https://doi.org/10.1007/s00521-006-0069-3