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Feature vector for underground object detection using B-scan images from GprMax

Microprocessors and microsystems, 2020-07, Vol.76, p.103116, Article 103116

2020

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Comparison of histograms of oriented gradients (HOG) and n-Row average subtraction (nRAS) using GprMax

Microprocessors and microsystems, 2018-11, Vol.63, p.140-146

2018

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Diagnosis of liver disease by using CMAC neural network approach

Expert systems with applications, 2010-09, Vol.37 (9), p.6157-6164

2010

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Position error compensation via a variable reluctance sensor applied to a Hybrid Vehicle Electric machine

Sensors (Basel, Switzerland), 2010-03, Vol.10 (3), p.1918-1934

Bucak, Ihsan Ömür

2010

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An urgent precaution system to detect students at risk of substance abuse through classification algorithms

Elektrik : Turkish journal of electrical engineering & computer sciences, 2014, Vol.22, p.690-707

2014

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Microarray Image Segmentation Using Clustering Methods

Mathematical and computational applications, 2010-08, Vol.15 (2), p.240-247

2010

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Hazardous Odor Recognition by CMAC Based Neural Networks

Sensors (Basel, Switzerland), 2009-09, Vol.9 (9), p.7308-7319

2009

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Sequence alignment from the perspective of stochastic optimization: a survey

Elektrik : Turkish journal of electrical engineering & computer sciences, 2011, Vol.19 (1), p.157-173

2011

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Searching for the Shortest Path Through Group Processing for TSP

Mathematical and computational applications, 2011-04, Vol.16 (1), p.53-65

2011

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Bayesian Inference: Recent Trends

Ömür Bucak, İhsan

2024

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Efficient Underground Object Detection for Ground Penetrating Radar Signals

Defense science journal, 2017-01, Vol.67 (1), p.12-18

2017

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Efficient Underground Object Detection for Ground Penetrating Radar Signals

Defense science journal, 2016-12, Vol.67 (1), p.12

2016

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Searching the Effects of Image Scaling for Underground Object Detection Using KMeans and KNN

2014 European Modelling Symposium, 2014, p.180-184

2014

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Clustering-based spot segmentation of cDNA microarray images

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010-01, Vol.2010, p.1828-1831

2010

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Feature Vector for Underground Object Detection using B-scan Images from GprMax

2019 8th Mediterranean Conference on Embedded Computing (MECO), 2019, p.1-6

2019

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Reinforcement learning control of nonlinear multi-link system

Engineering applications of artificial intelligence, 2001-10, Vol.14 (5), p.563-575

2001

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An improved Q-learning algorithm for an autonomous mobile robot navigation problem

2013 The International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013, p.239-243

2013

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An approach for maximizing container loading and minimizing the waste of space using Q-learning

2013 The International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013, p.235-238

2013

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Welfare classification using CMAC neural networks

2011 5th International Conference on Application of Information and Communication Technologies (AICT), 2011, p.1-3

2011

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Application of reinforcement learning control to a nonlinear bouncing cart

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999, Vol.2, p.1198-1202 vol.2

1999

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In vitro activity of ceftaroline to MRSA isolates: a multicenter study

Mikrobiyoloji bülteni, 2013-10, Vol.47 (4), p.677-683

2013

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Feature vector for underground object detection using B-scan images from GprMax

Comparison of histograms of oriented gradients (HOG) and n-Row average subtraction (nRAS) using GprMax

Diagnosis of liver disease by using CMAC neural network approach

Position error compensation via a variable reluctance sensor applied to a Hybrid Vehicle Electric machine

An urgent precaution system to detect students at risk of substance abuse through classification algorithms

Microarray Image Segmentation Using Clustering Methods

Hazardous Odor Recognition by CMAC Based Neural Networks

Sequence alignment from the perspective of stochastic optimization: a survey

Searching for the Shortest Path Through Group Processing for TSP

Bayesian Inference: Recent Trends

Efficient Underground Object Detection for Ground Penetrating Radar Signals

Efficient Underground Object Detection for Ground Penetrating Radar Signals

Searching the Effects of Image Scaling for Underground Object Detection Using KMeans and KNN

Clustering-based spot segmentation of cDNA microarray images

Feature Vector for Underground Object Detection using B-scan Images from GprMax

Reinforcement learning control of nonlinear multi-link system

An improved Q-learning algorithm for an autonomous mobile robot navigation problem

An approach for maximizing container loading and minimizing the waste of space using Q-learning

Welfare classification using CMAC neural networks

Application of reinforcement learning control to a nonlinear bouncing cart

In vitro activity of ceftaroline to MRSA isolates: a multicenter study

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