Murat Ozbayoglu
BaşlıkAlıntı yapanlarYıl
Context-aware computing, learning, and big data in internet of things: a survey
OB Sezer, E Dogdu, AM Ozbayoglu
IEEE Internet of Things Journal 5 (1), 1-27, 2017
Deep Convolutional Autoencoder for Radar-Based Classification of Similar Aided and Unaided Human Activities
MS Seyfioglu, AM Ozbayoglu, SZ Gurbuz
IEEE Transactions on Aerospace and Electronic Systems, 2018
Estimation of Hardgrove grindability index of Turkish coals by neural networks
G Özbayoğlu, AM Özbayoğlu, ME Özbayoğlu
International Journal of Mineral Processing 85 (4), 93-100, 2008
Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach
OB Sezer, AM Ozbayoglu
Applied Soft Computing 70, 525-538, 2018
Deep learning of micro-Doppler features for aided and unaided gait recognition
MS Seyfioğlu, SZ Gürbüz, AM Özbayoğlu, M Yüksel
Radar Conference (RadarConf), 2017 IEEE, 1125-1130, 2017
An artificial neural network-based stock trading system using technical analysis and big data framework
OB Sezer, AM Ozbayoglu, E Dogdu
proceedings of the southeast conference, 223-226, 2017
Estimation of the burned area in forest fires using computational intelligence techniques
AM Özbayoğlu, R Bozer
Procedia Computer Science 12, 282-287, 2012
Estimating flow patterns and frictional pressure losses of two-phase fluids in horizontal wellbores using artificial neural networks
EM Ozbayoglu, MA Ozbayoglu
Petroleum science and technology 27 (2), 135-149, 2009
A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters
OB Sezer, M Ozbayoglu, E Dogdu
Procedia Computer Science 114, 473-480, 2017
A real-time autonomous highway accident detection model based on big data processing and computational intelligence
M Ozbayoglu, G Kucukayan, E Dogdu
2016 IEEE International Conference on Big Data (Big Data), 1807-1813, 2016
Clustering quality improvement of k-means using a hybrid evolutionary model
J Karimov, M Ozbayoglu
Procedia Computer Science 61, 38-45, 2015
Analysis of gas–liquid behavior in eccentric horizontal annuli with image processing and artificial intelligence techniques
AM Ozbayoglu, HE Yuksel
Journal of Petroleum Science and Engineering 81 (1), 31-40, 2012
Hole Cleaning Performance of Gasified Drilling Fluids in Horizontal Well Sections
M Ozbayoglu, R Osgouei, M Ozbayoglu, E Yuksel
SPE Journal 17 (3), 912-923, 2012
A deep learning based stock trading model with 2-D CNN trend detection
MU Gudelek, SA Boluk, AM Ozbayoglu
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
Flow pattern identification of gas-liquid flow through horizontal annular geometries
RE Osgouei, ME Ozbayoglu, MA Ozbayoglu, E Yuksel
SPE Oil and Gas Conference and Exhibition, Mumbai, India, Jan, 20-22, 2010
Estimation of very-difficult-to-identify data for hole cleaning, cuttings transport and pressure drop estimation in directional and horizontal drilling
ME Ozbayoglu, R Ettehadi Osgouei, A Ozbayoglu, E Yuksel
IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, 2010
An extended iot framework with semantics, big data, and analytics
OB Sezer, E Dogdu, M Ozbayoglu, A Onal
2016 IEEE International Conference on Big Data (Big Data), 1849-1856, 2016
Weather Data Analysis and Sensor Fault Detection Using An Extended IoT Framework with Semantics, Big Data, and Machine Learning
AC Onal, OB Sezer, M Ozbayoglu, E Dogdu
A survey on semantic web and big data technologies for social network analysis
S Kulcu, E Dogdu, AM Ozbayoglu
2016 IEEE International Conference on Big Data (Big Data), 1768-1777, 2016
TN-RSI: Trend-normalized RSI indicator for stock trading systems with evolutionary computation
U Sahin, AM Ozbayoglu
Procedia Computer Science 36, 240-245, 2014
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Makaleler 1–20