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Mustafa ULAŞ, Ph.D.
Title
Cited by
Cited by
Year
Prediction of the autism spectrum disorder diagnosis with linear discriminant analysis classifier and K-nearest neighbor in children
O Altay, M Ulas
2018 6th international symposium on digital forensic and security (ISDFS), 1-4, 2018
992018
Using an artificial neural network to predict mix compositions of steel fiber-reinforced concrete
M Açikgenç, M Ulaş, KE Alyamaç
Arabian Journal for Science and Engineering 40, 407-419, 2015
862015
Surface roughness prediction of machined aluminum alloy with wire electrical discharge machining by different machine learning algorithms
M Ulas, O Aydur, T Gurgenc, C Ozel
Journal of Materials Research and Technology 9 (6), 12512-12524, 2020
792020
Prediction of wear loss quantities of ferro-alloy coating using different machine learning algorithms
O Altay, T Gurgenc, M Ulas, C Özel
Friction 8, 107-114, 2020
752020
The evaluation of the effect of nappe breakers on the discharge capacity of trapezoidal labyrinth weirs by ELM and SVR approaches
O Bilhan, ME Emiroglu, CJ Miller, M Ulas
Flow Measurement and Instrumentation 64, 71-82, 2018
382018
Extreme learning machine and support vector regression wear loss predictions for magnesium alloys coated using various spray coating methods
T Gurgenc, O Altay, M Ulas, C Ozel
Journal of Applied Physics 127 (18), 2020
342020
Shallow donors in a quantum well wire: Electric field and geometrical effects
M Ulaş, H Akbaş, M Tomak
physica status solidi (b) 200 (1), 67-73, 1997
331997
A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic, kernel-based, and weighted extreme learning machine
M Ulas, O Altay, T Gurgenc, C Özel
Friction 8, 1102-1116, 2020
322020
Prediction of the fresh performance of steel fiber reinforced self-compacting concrete using quadratic SVM and weighted KNN models
O Altay, M Ulas, KE Alyamac
IEEE Access 8, 92647-92658, 2020
302020
Location determination by processing signal strength of Wi-Fi routers in the indoor environment with linear discriminant classifier
O Altay, M Ulas
2018 6th International Symposium on Digital Forensic and Security (ISDFS), 1-4, 2018
192018
Electric field effect on the binding energy of a non‐hydrogenic donor impurity in a cylindrical cross‐sectional quantum well wire
M Ulaş, E Cicek, S Senturk Dalgic
physica status solidi (b) 241 (13), 2968-2974, 2004
192004
The use of kernel-based extreme learning machine and well-known classification algorithms for fall detection
O Altay, M Ulas
Advances in Computer Communication and Computational Sciences: Proceedings …, 2019
142019
An expert system to predict warfarin dosage in turkish patients depending on genetic and non-genetic factors
O Altay, M Ulas, O Mahmut, G Ece
2019 7th International Symposium on Digital Forensics and Security (ISDFS), 1-6, 2019
112019
DCS-ELM: a novel method for extreme learning machine for regression problems and a new approach for the SFRSCC
O Altay, M Ulas, KE Alyamac
PeerJ Computer Science 7, e411, 2021
102021
Büyük Veri İşlemede Yaygın Kullanılan Araçların Karşılaştırılması
B Karabay, M Ulaş
8th International Advanced Technologies Symposium, 1-18, 2017
92017
Shallow Donors in a Quantum Well Wire; Electric Field and Geometrical Effects
M Ulaş, H Akbaş, M Tomak
Turkish Journal of Physics 22 (5), 369-376, 1998
81998
PACS ve Medikal Görüntülerin Sayısal Olarak Arşivlenmesi
A Boyaci, M Ulaş
Akademik Bilişim 2007, 2007
72007
DICOM Görüntü Standardı
M Ulaş, A Boyacı
Akademik Bilişim’07 - IX. Akademik Bilişim Konferansı, 69-74, 2007
72007
Screening effect on the binding energies of shallow donors, acceptors and excitons in finite-barrier quantum wells
H Akbaş, Ş Aktaş, SE Okan, M Ulaş, M Tomak
Superlattices and microstructures 23 (1), 113-119, 1998
71998
Büyük kampüslerde IP tabanlı güvenlik kamera sistemi çözümü
E Akbal, A Boyacı, G Karabatak, M Ulaş
Akademik Bilişim Konferansı Bildirileri, 196-210, 2009
52009
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Articles 1–20