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An EEG-based stereoscopic research of the PSD differences in pre and post 2D&3D movies watching
(Elsevier Sci Ltd, 2020)
Despite knowing the reality of three-dimensional (3D) technology in the form of eye fatigue, this technology continues to be retained by people (especially the young community). To check the influences of the human brain's ...
Detection of 2D and 3D Video Transitions Based on EEG Power
(OXFORD UNIV PRESS, 2022)
Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ...
Segmentation of Pectoral Muscle Region in MLO Mammography Images by Backboned U-Net [Mamografi Görüntülülerindeki Pektoral Kas Bölgesinin Omurgali U-Net ile Bölütlenmesi]
(Institute of Electrical and Electronics Engineers Inc., 2022)
The pectoral muscle region on MLO mammography images appears prominently similar to suspicious areas. For this reason, Computer-Aided Detection (CAD) systems remove this region to reduce false-positive rates in the mass ...
BroomyCell: An Introductory Educational Software for Neuroscience
(IEEE, 2021)
Nerve cells are the basic building blocks of the nervous system. Therefore, the first step in neuroscience education is the introduction of nerve cells. However, both the complexity of nerve cells and the difficulty of ...
Detection of 2D and 3D Video Transitions Based on EEG Power
(OXFORD UNIV PRESS, 2022)
Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations ...
A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging
(Elsevier Ireland Ltd, 2021)
Background and objective: The size, shape, and position of the pancreas are affected by the patient characteristics such as age, sex, adiposity. Owing to more complex anatomical structures (size, shape, and position) of ...
An automatic EEG-based sleep staging system with introducing NAoSP and NAoGP as new metrics for sleep staging systems
(Springer, 2021)
Different biological signals are recorded in sleep labs during sleep for the diagnosis and treatment of human sleep problems. Classification of sleep stages with electroencephalography (EEG) is preferred to other biological ...
Low-Cost Brain-Computer Interface Using the Emotiv Epoc Headset Based on Rotating Vanes
(Int Information & Engineering Technology Assoc, 2020)
In the brain-computer interface system (BCI), electroencephalography (EEG) signals are converted into digital signals and analyzed, allowing direct communication between humans and the electronic devices around them. The ...
Brain-computer Interface Systems for Smart Homes - A Review Study
(Bentham Science Publ Ltd, 2021)
Brain-computer Interface (BCI) systems, usually using signals taken from users' brain through electroencephalography (EEG), control various devices around and provide the user's command by interacting. Improving the quality ...
Polydimethylsiloxane-based capacitive motion sensor and its read-out circuit
(Wiley, 2021)
A capacitive motion sensor that can detect human walking and motions up to a certain distance was designed using polydimethylsiloxane (PDMS) as the primary sensor material. A read-out circuit was designed to detect capacitive ...
