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Browsing Makale Koleksiyonu by Author

Browsing Makale Koleksiyonu by Author "Öz, Cemil"

Now showing items 1-18 of 18

A closer look to probabilistic state estimation - case: particle filtering

Taşcı, Tuğrul; Öz, Cemil (Natl Inst Optoelectronıcs, 2014)

Particle Filter is a significant member of the group of methods aiming to provide reasonable solutions to the real-world problems by approximating the value of the posterior density function using probabilistic sampling. ...
A new sequence based encoding for prediction of host-pathogen protein interactions

Irfan Kosesoy; Murat Gok; Öz, Cemil (ELSEVIER SCI LTD, 2019)

Pathogen-host interactions are very important to figure out the infection process at the molecular level, where pathogen proteins physically bind to human proteins to manipulate critical biological processes in the host ...
A real-time American Sign Language word recognition system based on neural networks and a probabilistic model

Neelesh Sarawate; Ming Chan Leu; Öz, Cemil (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2015)

The development of an American Sign Language (ASL) word recognition system based on neural networks and a probabilistic model is presented. We use a CyberGlove and a Flock of Birds motion tracker to extract the gesture ...
A real-time virtual sculpting application by using an optimized hash-based octree

Çit, Gülüzar; Ayar, Kayhan; Öz, Cemil (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2016)

Creation durations of a traditional octree, a hash-based octree, and our optimized hash-based octree are compared. Tree traversal and surface reconstruction times of our optimized hash-based octree approach are also compared ...
A study of neural network based inverse kinematics solution for a three-joint robot

Köker, Raşit; Öz, Cemil; Çakar, Tarık; Ekiz, Hüseyin (ELSEVIER SCIENCE BV, 2004)

A neural network based inverse kinematics solution of a robotic manipulator is presented in this paper. Inverse kinematics problem is generally more complex for robotic manipulators. Many traditional solutions such as ...
A study on application container resource efficiency

Ozmen Emre Demirkol; Öz, Cemil; Arkin Demirkol (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2019)

Nowadays, the IT service environment develops in a dynamic, rapid, and unpredictable way. Microservices and application containers in this process have a significant impact on new generation IT service models. The fact ...
American sign language recognition using multi-dimensional hidden Markov models

Öz, Cemil (INST INFORMATION SCIENCE, 2006)

An American Sign Language (ASL) recognition system developed based on multidimensional Hidden Markov Models (HMM) is presented in this paper. A Cyberglove (TM) sensory glove and a Flock of Birdso motion tracker are used ...
American Sign Language word recognition with a sensory glove using artificial neural networks

Öz, Cemil; Leu, Ming C (Pergamon-Elsevier Science LTD, 2011)

An American Sign Language (ASL) recognition system is being developed using artificial neural networks (ANNs) to translate ASL words into English. The system uses a sensory glove called the Cyberglove (TM) and a Flock of ...
Computer aided detection of microcalcification clusters in mammogram images with machine learning approach

Öz, Cemil; İseri, İsmail (Natl Inst Optoelectronıcs, 2014)

Breast cancer is one of the most deadly disease for women health. One of the most used method is digital mammography in medical diagnosis for breast cancer. Mammogram images are important for detecting breast cancer in ...
Deep learning-based face analysis system for monitoring customer interest

Yolcu Öztel, Gözde; Öztel, İsmail; Çakar, Serap; Öz, Cemil (2019)
Deep learning-based face analysis system for monitoring customer interest

Gozde Yolcu; Öztel, İsmail; Çakar, Serap; Öz, Cemil; Filiz Bunyak (SPRINGER HEIDELBERG, 2020)

In marketing research, one of the most exciting, innovative, and promising trends is quantification of customer interest. This paper presents a deep learning-based system for monitoring customer behavior specifically for ...
Developing and establishing a natural user interface based on Kinect sensor with artificial neural network

Öz, Cemil (NATL INST OPTOELECTRONICS, 2014)

In this study, a real-time human motion classification system is developed by using Artificial Neural Networks (ANN) with negative correlation learning (NCL), to control windows games and applications. The system uses two ...
EFFECT OF VIRTUAL WELDING SIMULATOR ON TIG WELDING TRAINING

Öz, Cemil; Serttaş, Soydan; Ayar, Kayhan; Fındık, Fehim (INT COUNCIL MATERIALS EDUCATION, 2015)

The objective of the study is to analyze the contribution of our simulator to assisting trainees in developing their TIG (tungsten inert gas) welding skills. With use of the developed virtual welding simulator, three-dimensional ...
Facial expression recognition for monitoring neurological disorders based on convolutional neural network

Yolcu Öztel, Gözde; Öztel, İsmail; Çakar, Serap; Öz, Cemil; Kannappan Palaniappan; Teresa E. Lever; Filiz Bunyak (SPRINGER, 2019)

Facial expressions are a significant part of non-verbal communication. Recognizing facial expressions of people with neurological disorders is essential because these people may have lost a significant amount of their ...
iFER: facial expression recognition using automatically selected geometric eye and eyebrow features

Öztel, İsmail; Yolcu Öztel, Gözde; Öz, Cemil; Kazan, Serap; Filiz Bunyak (IS&T & SPIE, 2018)

Facial expressions have an important role in interpersonal communications and estimation of emotional states or intentions. Automatic recognition of facial expressions has led to many practical applications and became one ...
Lecture Notes in Computer Science

Yumuşak, Nejat; Öz, Cemil; Temurtaş, Feyzullah; Temurtas, H (Springer-Verlag Berlin, 2003)

In this study, the application of the single input single output (SISO) neural generalized predictive control (NGPC) and SISO generalized predictive control (GPC) of a three joint robotic manipulator are presented. The ...
Linguistic properties based on American Sign Language isolated word recognition with artificial neural networks using a sensory glove and motion tracker

Öz, Cemil (ELSEVIER SCIENCE BV, 2007)

Sign language (SL), which is a highly visual-spatial, linguistically complete, and natural language, is the main mode of communication among deaf people. Described in this paper are two different American Sign Language ...
Surface inspection system for industrial components based on shape from shading minimization approach

Kotan, Muhammed; Öz, Cemil (SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 2017)

An inspection system using estimated three-dimensional (3-D) surface characteristics information to detect and classify the faults to increase the quality control on the frequently used industrial components is proposed. ...