Yazar "Guney, Selda" için Mühendislik Fakültesi / Faculty of Engineering listeleme
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Applications of Deep Learning Techniques to Wood Anomaly Detection
Celik, Yaren; Guney, Selda; Dengiz, Berna; Xu, J; Altiparmak, F.; Hassan, MHA; Marquez, FPG (2022)Wood products and structures have an important place in today's industry. They are widely used in many fields. However, there are various difficulties in production systems where wood raw material is under many processes. ... -
Automated Tuberculosis Detection Using Pre-Trained CNN and SVM
Oltu, Burcu; Guney, Selda; Dengiz, Berna; Agildere, Muhtesem (2021)Tuberculosis (TB) is a dreadfully contagious and life-threatening disease if left untreated. Therefore, early and accurate diagnosis is critical for treatment. Today, invasive, expensive, or time-consuming tests are performed ... -
Calibration Transfer Between E-Noses
Guney, Selda; Fernandez, Luis; Marco, Santiago (2014)Electronic nose is an instrument which is composed of gas sensor array and pattern recognition unit. It is generally used for classifying, identifying or quantifying the odors or volatile organic components for these ... -
Classification of Canine Maturity and Bone Fracture Time Based on X-Ray Images of Long Bones
Ergun, Gulnur Begum; Guney, Selda (2021)Veterinarians use X-rays for almost all examinations of clinical fractures to determine the appropriate treatment. Before treatment, vets need to know the date of the injury, type of the broken bone, and age of the dog. ... -
Classification of Different Objects with Artificial Neural Networks Using Electronic Nose
Ozsandikcioglu, Umit; Atasoy, Ayten; Guney, Selda (2015)In this paper; an e-nose with low cost which consisting of 8 different gas sensors was used and with this e-nose 9 different odors ((mint, lemon, egg, rotten egg, angelica root, nail polish, naphthalene, rose water, and ... -
Classification of Human Movements by Using Kinect Sensor
Acis, Busra; Guney, Selda (2023)In recent years, studies have been carried out to classify human movements in many areas such as health and safety. To classify human movements, image processing methods have also started to be used in recent years. With ... -
Comparative Study for Tuberculosis Detection by Using Deep Learning
Karaca, Busra Kubra; Guney, Selda; Dengiz, Berna; Agildere, Muhtesem (2021)Tuberculosis (TB) is an infectious disease which becomes a significant health problem worldwide. Many people have been affected by this disease owing to deficiency of treatment and late or inaccuracy of diagnosis. Therefore, ... -
The Comparison of Estimation Algorithms for Mobile Robot Navigation
Guney, Selda; Bilen, Murat (2016)In this study, a robot with different maneuvras is followed with different estimation algorithms. The mobile robot has acted first linear, then maneuver and finally linear again. It's speed is constant through the way. ... -
Comparison of Expectation Maximization and Naive Bayes Algorithms in Character Recognition
Guney, Selda; Cakar, Ceyhun (2016)Statistical character recognition methods are used very common nowadays in the character recognition. A certain number of features are extracted from characters recognized for the recognition of the character. The ... -
Daphnet Freezing Recognition with Gait Data by Using Machine Learning Algorithms
Guney, Selda; Boluk, Busra (2020)The aim of this study was to test the success of the data set obtained by a wearable health assistant developed for the symptom of freezing (FOG) in gait of Parkinson's patients and to increase the success of the system. ... -
Discrimination of Different Fish Species by E-nose
Guney, Selda; Atasoy, Ayten (2015)The aim of this study is to distinguish three different types of fish which are anchovy, horse mackerel and whiting by an electronic nose. Generally, the electronic noses are composed of three units. These are sensor unit ... -
Estimation of Concentration Values of Different Gases Based on Long Short-Term Memory by Using Electronic Nose
Bakiler, Hande; Guney, Selda (2021)An electronic nose (e-nose) is commonly used in different areas. In the e-nose studies, one of the most important subjects is the estimation of the different concentration values of different gases. An accurate estimation ... -
Fish Freshness Testing with Artificial Neural Networks
Atasoy, Ayten; Ozsandikcioglu, Umit; Guney, Selda (2015)In this work, with the use of an electronic nose which has 8 metal oxide gas sensors and was set up at Karadeniz Technical University, a fish freshness system was designed. There are 7 classes (1, 3, 5, 7, 9, 11, 13 day ... -
Freshness Classification of Horse Mackerels with E-Nose System Using Hybrid Binary Decision Tree Structure
Guney, Selda; Atasoy, Ayten (2020)The aim of this study is to test the freshness of horse mackerels by using a low cost electronic nose system composed of eight different metal oxide sensors. The process of freshness evaluation covers a seals of seven ... -
Heart Disease Prediction by Using Machine Learning Algorithms
Erdogan, Alperen; Guney, Selda (2020)Nowadays, one of the most important illness is heart disease which cause of mostly patients dead. Medical diagnosis of heart diseases is very difficult. While heart diseases are diagnosed medically, they can be confused ... -
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors
Erdas, Cagatay Berke; Guney, Selda (2021)With the spread of wearable sensors, the solutions to the task of activity recognition by using the data obtained from the sensors have become widespread. Recognition of activities owing to wearable sensors such as ... -
Investigation of Harmonic Estimation Using Imperalist Competitive Algorithm Method
Ertugrul, Emre; Guney, Selda (2015)Recently, some new methods and algorithms have been started to use as an alternative for harmonic estimation instead of Fourier Transform based traditional algorithms. Because, it is inevitable to look for alternative ... -
Obesity Level Estimation based on Machine Learning Methods and Artificial Neural Networks
Celik, Yaren; Guney, Selda; Dengiz, Berna (2021)Obesity is a growing societal and public health problem starting from 1980 that needs more attention. For this reason, new studies are emerging day by day, including those looking for obesity in children, especially the ... -
A real-time approach to recognition of Turkish sign language by using convolutional neural networks
Guney, Selda (2021)Sign language is a form of visual communication used by people with hearing problems to express themselves. The main purpose of this study is to make life easier for these people. In this study, a data set was created using ... -
Study of Fish Species Discrimination Via Electronic Nose
Guney, Selda; Atasoy, Ayten (2015)Fish freshness is a critical issue in determining fish quality. Since fish freshness changes according to the fish species, fish species has to be identified before examining the freshness. So far, fish species have been ...