Estimation of solar radiation over Turkey using artificial neural network and satellite data O Şenkal, T Kuleli Applied energy 86 (7-8), 1222-1228, 2009 | 270 | 2009 |
Modeling of solar radiation using remote sensing and artificial neural network in Turkey O Şenkal Energy 35 (12), 4795-4801, 2010 | 123 | 2010 |
Fatih projesi kapsamında öğretmen, öğrenci ve veli koordinasyonu ve bilgisayar okuryazarlık düzeyleri S Dinçer, O Şenkal, ME Sezgin Akademik Bilişim 274, 286, 2013 | 52 | 2013 |
Geleneksel sınıfların uzaktan eğitim platformuna dönüştürülmesi: Bir model çalışması O Şenkal, S Dinçer Bilişim teknolojileri dergisi 5 (1), 13-18, 2012 | 40 | 2012 |
Precipitable water modelling using artificial neural network in Cukurova region O Şenkal, BY Yıldız, M Şahin, V Pestemalcı Environmental monitoring and assessment 184, 141-147, 2012 | 35 | 2012 |
Solar radiation and precipitable water modeling for Turkey using artificial neural networks O Şenkal Meteorology and Atmospheric Physics 127, 481-488, 2015 | 28 | 2015 |
Modelling and remote sensing of land surface temperature in Turkey M Şahin, BY Yıldız, O Şenkal, V Peştemalcı Journal of the Indian Society of Remote Sensing 40, 399-409, 2012 | 28 | 2012 |
National assessment of sea level rise using topographic and census data for Turkish coastal zone T Kuleli, O Şenkal, M Erdem Environmental monitoring and assessment 156, 425-434, 2009 | 28 | 2009 |
The estimation of solar radiation for different time periods O Şenkal, M Şahin, V Peştemalci Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 32 …, 2010 | 25 | 2010 |
Using the fuzzy logic in assessing the programming performance of students NA Namli, O Şenkal International Journal of Assessment Tools in Education 5 (4), 701-712, 2018 | 22 | 2018 |
A comparison of two solar radiation models using artificial neural networks and remote sensing in Turkey BY Yildiz, M Şahin, O Şenkal, V Pestemalci, N Emrahoğlu Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 35 …, 2013 | 20 | 2013 |
Comparison of a new algorithm with the supervised classifications N Emrahoğlu, İ Yeğingil, V Peştemalci, O Şenkal, HM Kandirmaz International Journal of Remote Sensing 24 (4), 649-655, 2003 | 18 | 2003 |
Estimation of the vapour pressure deficit using NOAA-AVHRR data M Şahin, BY Yıldız, O Şenkal, V Peştemalci International journal of remote sensing 34 (8), 2714-2729, 2013 | 13 | 2013 |
Occupational Health and Safety Education at Inclusive Vocational Schools in Turkey O Şenkal, R Kanık, ME Sezgin, ÖA Şenkal Sage Open 11 (4), 21582440211067239, 2021 | 11 | 2021 |
TÜRKİYE’DE FİZİK EĞİTİMİ-ÖĞRETİMİ İLE İLGİLİ YAPILAN ÇALIŞMALARIN EĞİLİMİ O Şenkal, S Dinçer Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 25 (2), 57-70, 2016 | 10 | 2016 |
Uydu verileri kullanılarak Izmir şehir merkezinin yer yüzey sıcaklığının tahmini M Şahin, B Yıldız, O Şenkal, V Peştemalcı Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 15 (1), 2011 | 7 | 2011 |
Solar radiation modeling for Turkey using atmospheric parameters with artificial neural networks O Şenkal Çukurova Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 31 (2), 179-185, 2016 | 6 | 2016 |
Comparison of incoming solar radiation at different air density regimes using neural network models O Senkal Russian Meteorology and Hydrology 43, 49-55, 2018 | 3 | 2018 |
Determination of land surface temperature using precipitable water based Split-Window and Artificial Neural Network in Turkey BY Yıldız, M Şahin, O Şenkal, V Peştimalci, K Tepecik Advances in Space Research 54 (8), 1544-1551, 2014 | 3 | 2014 |
Normalize Edilmiş Bitki İndeksini Kullanarak Yağış Miktarının Hesaplanması M Şahin, H Kandırmaz, O Şenkal, V Peştemalcı, B Yıldız Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 13 (2), 113-122, 2014 | 3 | 2014 |