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Wi-Fi Based Indoor Positioning System with Using Deep Neural Network
(2020)
Indoor positioning is one of the major challenges for the future large-scale technologies. Nowadays, it has become an attractive research subject due to growing demands on it. Several algorithms and techniques have been ...
Wi-Fi Based Indoor Positioning System with Using Deep Neural Network
(2020)
Indoor positioning is one of the major challenges for the future large-scale technologies. Nowadays, it has become an attractive research subject due to growing demands on it. Several algorithms and techniques have been ...
Detection of multiple sclerosis from photic stimulation EEG signals
(2021)
Background: Multiple Sclerosis (MS) is characterized as a chronic, autoimmune and inflammatory disease of the central nervous system. Early diagnosis of MS is of great importance for the treatment and course of the disease. ...
Sparsity-driven weighted ensemble classifier
(2018)
In this study, a novel sparsity-driven weighted ensemble classifier (SDWEC) that improves classification accuracy and minimizes the number of classifiers is proposed. Using pre-trained classifiers, an ensemble in which ...
Obesity Level Estimation based on Machine Learning Methods and Artificial Neural Networks
(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 ...
Applications of Deep Learning Techniques to Wood Anomaly Detection
(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. ...