Murat Genctav

ORCID: 0000-0001-7037-185X
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About
Contact & Profiles
Research Areas
  • Medical Image Segmentation Techniques
  • Image Processing and 3D Reconstruction
  • Image and Object Detection Techniques
  • Computer Graphics and Visualization Techniques
  • Handwritten Text Recognition Techniques
  • Advanced Aircraft Design and Technologies
  • Aerospace and Aviation Technology
  • Image Retrieval and Classification Techniques
  • Visual Attention and Saliency Detection
  • Advanced Image Fusion Techniques
  • Real-time simulation and control systems
  • Natural Language Processing Techniques
  • Aesthetic Perception and Analysis
  • Manufacturing Process and Optimization
  • Visual perception and processing mechanisms
  • Image Processing Techniques and Applications
  • Text and Document Classification Technologies
  • Air Traffic Management and Optimization
  • Advanced Text Analysis Techniques
  • Advanced Vision and Imaging
  • Optical measurement and interference techniques
  • 3D Shape Modeling and Analysis

Aselsan (Turkey)
2014-2021

Middle East Technical University
2011-2019

Yıldız Technical University
2007

Over the last decade, market share of civilian UAVs within general UAV has consistently increased. As such, these systems are increasingly being used for applications ranging from monitoring crops to tracking air emissions around high-pollution areas. Most require vehicles be low-cost and portability packaging easy while also having vertical take-off landing capability. TURAC - a VTOL Tilt Rotor with capabilities is designed. Although mathematical CFD analyses were performed iteratively in...

10.1109/icuas.2014.6842354 article EN 2022 International Conference on Unmanned Aircraft Systems (ICUAS) 2014-05-01

10.1007/s10851-013-0441-8 article EN Journal of Mathematical Imaging and Vision 2013-05-09

In this study, we have established a feature extraction process for the classification of unknown genres Turkish texts by using morphology. The proposed method considers features as word stems. fact that number exceeds practical computing limits each document represented in classes. Each stem analyzed different classes and sum usage frequency given value document. To speed up extracting frequencies stems analyzing it Trie tree structure has been used. selected five which are economy,...

10.1109/siu.2007.4298870 article EN 2007-06-01

10.1615/tfesc1.tia.012942 article FR Proceeding of First Thermal and Fluids Engineering Summer Conference 2016-01-01

We demonstrate the possibility of coding parts, features that are higher level than boundaries, using a modified AT field after augmenting interaction term energy with non-local and weakening separation into boundary/not-boundary phases. The iteratively extracted parts curves double point singularities organized as proper binary tree. Inconsistencies due to non-generic configurations for well visual changes such occlusion successfully handled once tree is endowed probabilistic structure....

10.48550/arxiv.1104.2171 preprint EN other-oa arXiv (Cornell University) 2011-01-01
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