Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Özgür Solmaz"'
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 24, Iss 4, Pp 610-615 (2018)
Bu çalışmada doğal gaz yakıtlı endüstriyel fırınlara ait bacalardan çıkan baca gazları termodinamiksel açıdan incelenmiştir. Analizlerde, baca gazı bileşenlerinin (O2, CO2, H2O ve N2) konsantrasyonu, baca gazı sıcaklığı ile baca
Externí odkaz:
https://doaj.org/article/a6806f992f2549d79601dacc485df9f8
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 24, Iss 4, Pp 610-615 (2018)
Bu çalışmada doğal gaz yakıtlı endüstriyel fırınlara ait bacalardan çıkan baca gazları termodinamiksel açıdan incelenmiştir. Analizlerde, baca gazı bileşenlerinin (O2, CO2, H2O ve N2) konsantrasyonu, baca gazı sıcaklığı ile baca
Externí odkaz:
https://doaj.org/article/3a8605f6bb26440dbc457d17d62c9dd8
Publikováno v:
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 38:1867-1878
Otonom sürüş için önerilen çeşitli yaklaşımlar temelde bir görüntü işleme ve bir makine öğrenmesi sürecini içermektedir. Bu süreçlerin başarıya ulaşması için uygun görüntü işleme tekniklerinin ve kapsamlı bir veri setinin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::041d3edd2f69bbea968e7ebb33da92f5
https://doi.org/10.17341/gazimmfd.1030482
https://doi.org/10.17341/gazimmfd.1030482
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c2bf1e19bce5d1bde10fdcc07bb6e00
https://doi.org/10.2139/ssrn.4160755
https://doi.org/10.2139/ssrn.4160755
Publikováno v:
El-Cezeri Fen ve Mühendislik Dergisi.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebc19f0d53d0a69793601ca1d4006744
https://doi.org/10.31202/ecjse.871896
https://doi.org/10.31202/ecjse.871896
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 142
In first stage, a machine learning (ML) was performed to predict in-cylinder pressure using both fuzzy logic (FL) and artificial neural networks (ANN) depending on the results of experimental studies in a spark ignition (SI) engine. In the ML phase,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e854108cbd155bc3b8748ae56de6727d
https://doi.org/10.1115/1.4047014
https://doi.org/10.1115/1.4047014
Publikováno v:
Pamukkale University Journal of Engineering Sciences. 24:610-615
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eb40f856e343bce7944254060e99ab1
https://doi.org/10.5505/pajes.2018.32549
https://doi.org/10.5505/pajes.2018.32549
Autor:
Derya Yeşim Hopa, Özgür Solmaz, Emre Yilmaz, Fatih Aksoy, Bilal Aydoğan, Ahmet Uyumaz, Hamit Solmaz, Tuba Bahtli
In this study, waste tyre was pyrolyzed at different conditions such as temperature, heating rate and inert purging gas (N-2) flow rate. Pyrolysis parameters were optimized. Optimum parameters were determined. The main objective of this study was to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c40a04dfd8ceb2a9f157964ea5c5b9b5
https://avesis.gazi.edu.tr/publication/details/3a6dde48-2a0a-4802-9b91-6717ef156bac/oai
https://avesis.gazi.edu.tr/publication/details/3a6dde48-2a0a-4802-9b91-6717ef156bac/oai
Publikováno v:
Energy Conversion and Management. 82:177-187
In this study, Artificial Neural Networks (ANNs) method for prediction hourly cooling load of a vehicle was implemented. The cooling load of the vehicle was calculated along the cooling season (1 May–30 September) for Antalya, Konya, Mersin, Mugla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f135b5c35fd537aacfb137b17e9a493a
https://doi.org/10.1016/j.enconman.2014.03.017
https://doi.org/10.1016/j.enconman.2014.03.017
Autor:
Özgür Solmaz, Muammer Ozgoren
Publikováno v:
Journal of Energy Engineering. 138:194-204
The purpose of this study is to apply the method of artificial neural networks (ANNs) to predict the hourly solar radiation of six selected provinces in Turkey. Six neurons—receiving input signals of latitude, longitude, altitude, day of the year,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d70f774c44cb33ef44fb3a72c6ad19a
https://doi.org/10.1061/(asce)ey.1943-7897.0000080
https://doi.org/10.1061/(asce)ey.1943-7897.0000080