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Toplam kayıt 11, 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
Common miRNA signatures in a group of rare neuromuscular disorders
(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2018)
Common miRNA signatures in a group of rare neuromuscular disorders
Steam Generator Level Control with an Observer-Based Algebraic Approach
(IEEE, 2013)
Level control systems are used to maintain the steam generator water level within the prescribed narrow limits and to provide constant supply of steam during power demand variations. The current level control systems are ...
MODELING AND SIMULATION OF ADVANCED NUCLEAR REACTORS
(IEEE, 2013)
Advanced nuclear power plants are currently being proposed
with a number of various designs. However, there is a lack of
modeling and control strategies to deal with load following
operations. This research investigates ...
An Observer-Based Fault Diagnosis in Battery Systems of Hybrid Vehicles
(IEEE, 2013)
Hybrid electric vehicles (HEVs) currently use Nickel-Metal Hydride (Ni-MH) batteries which have advantages of design flexibility, superior power, environmental acceptability and recyclability, long life, wide-range operating ...
Emotion Recognition Classification in EEG Signals Using Multivariate Synchrosqueezing Transform
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Electrophysiological data processing can take place both in time and in frequency domains as well as in the joint time-frequency domain. Short Time Fourier Transform and Wavelet Transform are commonly used time-frequency ...
ROI Detection in Mammogram Images using Wavelet-Based Haralick and HOG Features
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Digital mammography is a widespread medical imaging technique that is used for early detection and diagnosis of breast cancer. Detecting the region of interest (ROI) helps to locate the abnormal areas, which may be analyzed ...
Multivariate Pseudo Wigner Ville Distribution based Emotion Detection from Electrical Activity of Brain
(IEEE 345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Recently, there has been a rapid development in multivariate signal analysis to determine joint oscillations for multiple data channels. The emotion elicitation in an electroencephalogram (EEG) is a novel area to evaluate ...
Emotional State Analysis from EEG signals via Noise-Assisted Multivariate Empirical Mode Decomposition Method
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Emotional state analysis is an interdisciplinary arena because of the many parameters that encompass the complex neural structure and electrical signals of the brain and in terms of emotional state differences. In recent ...
Open Source Slurm Computer Cluster System Design and a Sample Application
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Cluster computing combines the resources of multiple computers as they act like a single high-performance computer. In this study, a computer cluster consisting of Lustre distributed file system with one cluster server ...