Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Selin Uzelaltinbulat"'
Autor:
Abdulkader Helwan, Mohammad Khaleel Sallam Ma’aitah, Rahib H. Abiyev, Selin Uzelaltinbulat, Bengi Sonyel
Publikováno v:
Journal of Food Quality, Vol 2021 (2021)
This study presents the design of an intelligent system based on deep learning for grading fruits. For this purpose, the recent residual learning-based network “ResNet-50” is designed to sort out fruits, particularly bananas into healthy or defec
Externí odkaz:
https://doaj.org/article/cd9cbade73e6406b98fa0c6a9f752923
Publikováno v:
Atmosphere, Vol 10, Iss 2, p 80 (2019)
The aim of ensemble precipitation prediction in this paper was to achieve the best performance via artificial intelligence (AI) based modeling. In this way, ensemble AI based modeling was proposed for prediction of monthly precipitation with three di
Externí odkaz:
https://doaj.org/article/53ed60d007b2472a8dbda5a1a5df6328
Autor:
Selin Uzelaltinbulat, Abdulkader Helwan, Bengi Sonyel, Mohammad Khaleel Sallam Ma’aitah, Rahib H. Abiyev
Publikováno v:
Journal of Food Quality, Vol 2021 (2021)
This study presents the design of an intelligent system based on deep learning for grading fruits. For this purpose, the recent residual learning-based network “ResNet-50” is designed to sort out fruits, particularly bananas into healthy or defec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2236509a281b662407c09fb0989acca7
https://doi.org/10.1155/2021/5516368
https://doi.org/10.1155/2021/5516368
Autor:
Abdulkader Helwan, Mohammad Khaleel Sallam Ma’aitah, Selin Uzelaltinbulat, Bengi Sonyel, Mohamad Ziad Ziad Altobel, Manal Darwish
Publikováno v:
Proceedings of International Conference on Emerging Technologies and Intelligent Systems ISBN: 9783030859893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0001a186937a9548a846d9b9da3924e
https://doi.org/10.1007/978-3-030-85990-9_19
https://doi.org/10.1007/978-3-030-85990-9_19
Autor:
Abdulkader Helwan, Mohammad Khaleel Sallam Ma’aitah, Selin Uzelaltinbulat, Mohamad Ziad Altobel, Manal Darwish
Publikováno v:
Proceedings of International Conference on Emerging Technologies and Intelligent Systems ISBN: 9783030859893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56ef99a80fda4a9032b5bb0187f54ebb
https://doi.org/10.1007/978-3-030-85990-9_18
https://doi.org/10.1007/978-3-030-85990-9_18
Publikováno v:
Theoretical and Applied Climatology. 138:1419-1434
The target of the current paper was to examine the performance of three Markovian and seasonal based artificial neural network (ANN) models for one-step ahead and three-step ahead prediction of monthly precipitation which is the most important parame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45921ecd057276296bbeb20386e88a46
https://doi.org/10.1007/s00704-019-02904-x
https://doi.org/10.1007/s00704-019-02904-x
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030352486
This study aimed at time-space estimations of monthly precipitation via a two-stage modeling framework. In temporal modeling as the first stage, three different AI models were applied to observed precipitation data from seven stations located in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad3c7c63f1925e12d03f6cab8fc3d43b
https://doi.org/10.1007/978-3-030-35249-3_16
https://doi.org/10.1007/978-3-030-35249-3_16
Publikováno v:
Procedia Computer Science. 120:333-340
The methodology for estimation of the impact of changes made in legislative base of tax system to the tax revenues is proposed in the paper. The adjustment of time series of tax revenues and relevant computer simulation of them was conducted by the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa636a3833a5d54487ec37777556525a
https://doi.org/10.1016/j.procs.2017.11.247
https://doi.org/10.1016/j.procs.2017.11.247
Autor:
Buse Ugur, Selin Uzelaltinbulat
Publikováno v:
Procedia Computer Science. 120:140-147
This paper is a development of an algorithm based medical image processing to segment the lung tumor in CT images due to the lack of such algorithms and approaches used to detect tumor where most of researches involve machine learning to solve such s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::409dd0991c15982b1f62863894907748
https://doi.org/10.1016/j.procs.2017.11.221
https://doi.org/10.1016/j.procs.2017.11.221
Publikováno v:
13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 ISBN: 9783030041632
Prediction of precipitation is important for design, management of water resources systems, planning, flood predicting and hydrological events. This study aimed to compare the performance of three different “Artificial Intelligence (AI)” techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4af4ab074fcc7a6eb995b688a77062bb
https://doi.org/10.1007/978-3-030-04164-9_11
https://doi.org/10.1007/978-3-030-04164-9_11