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Toplam kayıt 14, listelenen: 1-10
Automatic classification of Alzheimer disease based on MRI volumetric features
(ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2019)
Automatic classification of Alzheimer disease based on MRI volumetric features
Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Emotion detection by utilizing signal processing methods is a challenging area. An open issue in emotional modeling is to obtain an optimum feature set to use for the classification process. This study proposes an approach ...
Lifetime Analysis of Underwater Wireless Networks Concerning Privacy with Energy Harvesting and Compressive Sensing
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)
Underwater sensor networks (UWSN) are a division of classical wireless sensor networks (WSN), which are designed to accomplish both military and civil operations, such as invasion detection and underwater life monitoring. ...
Image-Processing Based Signal Readout Method for MRD Biochip
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)
The response of the cancer patients to chemotherapy treatment varies from person to person. For some patients cancer cells are resistant to treatment and these cells can relapse again which is known as minimal residual ...
Fusion and Analysis of PET And CT Images of Patients with Non-Small Cell Lung Cancer
(SPRINGERONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES, 2016)
Fusion and Analysis of PET And CT Images of Patients with Non-Small Cell Lung Cancer
Prognostic significance of the texture features determined using three dimensional 18F-FDG PET images: new potential biomarkers
(SOC NUCLEAR MEDICINE INC1850 SAMUEL MORSE DR, RESTON, VA 20190-5316, 2016)
Prognostic significance of the texture features determined using three dimensional 18F-FDG PET images: new potential biomarkers
Emotional State Sensing by Using Hybrid Multivariate Empirical Mode Decomposition and Synchrosqueezing Transform
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
In recent years, utilizing Hilbert-based time frequency methods in emotional state sensing research attracted attention in the brain computer interfaces. Primarily, Hilbert Transform-based empirical mode decomposition (EMD) ...
Discrimination of Rest, Motor Imagery and Movement for Brain-Computer Interface Applications
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Brain-computer interface (BCI) is a system that provides a means to control prosthesis, wheelchair, or similar devices using brain waves without direct motor nervous system involvement. For this purpose, brain waves obtained ...
Real-Time Robotic Car Control Using Brainwaves and Head Movement
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Emotiv Epoc Headset is a portable and low-cost device. In this study, Emotiv Epoc headset was used in order to obtain real-time gyro and EEG signals. The aim of this study was to control a robotic car in real-time by using ...
Emotion Elicitation Analysis in Multi-Channel EEG Signals Using Multivariate Empirical Mode Decomposition and Discrete Wavelet Transform
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
In recent years, wavelet-based, Fourier-based and Hilbert-based time-frequency methods attracted attention in emotion state classification studies in human machine interaction. In particular, the Hilbert-based Empirical ...