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Toplam kayıt 11, listelenen: 1-10
A channel selection method for epilepsy seizure prediction
(Institute of Electrical and Electronics Engineers Inc., 2021)
The development of systems that can predict epilepsy seizures in real time offers great hope for epilepsy patients. These systems aim to prevent accidents that patients may experience due to loss of consciousness during ...
A study of wet deposition flux using a sequential sampling technique
(2011)
The influence of washout scavenging on the removal processes of SO4 2-, NO3 - and Cl- ions were investigated using sequential rain sampling. For this purpose this study investigates the variation of these ions in precipitation ...
Semi-Crystalline, Three-Segmented Hybrid Gels with Multiple Shape-Memory Effect
(Wiley-V C H Verlag Gmbh, 2019)
Natural biological systems such as intervertebral disk, tendon, and ligament consist of regions with distinctly different mechanical properties, yet these regions intermesh with each other through an extremely tough ...
Emotion Recognition with Wavelet Transforms from EEG Signals
(Institute of Electrical and Electronics Engineers Inc., 2019)
Nowadays, emotion recognition studies have gained importance in order to make the interaction between human and computer easier and more natural or similar to human-human interaction. This study proposes a new emotion ...
Real Time Implementation of A Novel Chaotic Generator on FPGA
(Ieee, 2015)
In this study, a new continuous-time autonomous chaotic system has been presented and implemented on FPGA. Presented a new chaotic system has been designed using the IEEE 754-1985 floating-point format and implemented using ...
Improving Parkinson's Disease Diagnosis with Machine Learning Methods
(Ieee, 2019)
Parkinson's disease is a type of disease caused by the loss of dopamine-producing cells in the brain. As the amount of dopamine decreases, the symptoms of Parkinson's disease emerge. Parkinson's disease is a slow-developing ...
Epileptic seizure prediction for imbalanced datasets
(Institute of Electrical and Electronics Engineers Inc., 2019)
In this study, the methods used in the classification of imbalanced data sets were applied to EEG signals obtained from epilepsy patients and epileptic seizures were estimated. Firstly, the data set was balanced by using ...
Real Time Hardware Implementation of the 3D Chaotic Oscillator which having Golden-Section Equilibra
(Ieee, 2016)
In this study, the continuous-time, autonomous, 3D chaotic system having golden-section equilibra which is recently presented in the literature is implemented firstly as discrete time on an FPGA. In this design, the 3D ...
DETECTION OF FAKE BANKNOTES WITH ARTIFICIAL NEURAL NETWORKS AND SUPPORT VECTOR MACHINES
(Ieee, 2015)
The document and banknote counterfeiting remove us as a usurpation of the rights of individuals and institutions. By the advancement of technology special paper, the ink usage in the original banknote, placing watermarks, ...
Detection and Estimation of Down Syndrome Genes by Machine Learning Techniques
(Ieee, 2017)
Down syndrome is accepted as the common birth defect in population and diagnosed as more physical development with less cognitive activity than an average human. Early diagnosis of disease play important role for the patient ...