Browsing MF, BM, Bildiri ve Sunum Koleksiyonu by Department "Mühendislik Fakültesi, Bilgisayar Mühendisligi Bölümü"
Now showing items 1-9 of 9
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Dog Walker Segmentation
(IEEE, 2022)In this study dog walkers were separated into clusters according to walkers' walk habits. Due to the fact that the distributions were non-normal, normalization algorithms were applied before the onset of clustering. After ... -
EAFT: Evolutionary Algorithms for GCC Flag Tuning
(IEEE, 2022)Due to limited resources, some methods come to the fore in finding and applying the factors that affect the working time of the code. The most common one is choosing the correct GCC flags using heuristic algorithms. For ... -
EMG-based BCI for PiCar Mobilization
(IEEE, 2022)In this study, the main scope was to develop a brain-computer interface (BCI) with the use of PiCar and EEG/ERP devices. Thus, it is aimed to facilitate the lives of people with certain diseases and disabilities. The ... -
Face recognition with Local Zernike Moments features around landmarks
(IEEE, 2016)In this paper, a new method that extracts the features from the complex Local Zernike Moments (LZM) images around facial landmarks is proposed. In this method, multiple grids which are in different sizes are located on ... -
Model for Estimating the Probability of a Customer to Have a Transaction
(IEEE, 2022)In this study, it is aimed to estimate the probability of a customer who comes to the institution for the first time to make a transaction in the next 3 months, using data-driven machine learning models, in order to provide ... -
Modeling Consumer Creditworthiness via Psychometric Scale and Machine Learning
(IEEE, 2022)Although the predictive power of economic metrics to detect the creditworthiness of the customers is high, there is a rising interest in the integration of cognitive, psychological, behavioral, alternative, and demographic ... -
Predicting Animal Behaviours: Physical and Behavioural Classification Of Dog Walking Levels
(IEEE, 2022)Methods of predicting canine behaviour is an area covered by canine behaviour experts. This study aims to predict the behaviour of dogs during walking based on available information about dogs. In this data-driven project ... -
SSQEM: Semi-Supervised Quantum Error Mitigation
(IEEE, 2022)One of the fundamental obstacles for quantum computation (especially in noisy intermediate-scale quantum (NISQ) era) to be a near-term reality is the manufacturing gate/measurement technologies that make the system state ... -
Steel Surface Defect Classification Via Deep Learning
(IEEE, 2022)Deep learning and image processing methods have taken place in many parts of our lives, as well as in the quality control stages of production lines. The aim of this study is to train and use a deep learning model to improve ...
