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Toplam kayıt 10, listelenen: 1-10
A novel diagnosis system for Parkinson's disease using complex-valued artificial neural network with k-means clustering feature weighting method
(Springer, 2017)
Parkinson's disease (PD) is a degenerative, central nervous system disorder. The diagnosis of PD is difficult, as there is no standard diagnostic test and a particular system that gives accurate results. Therefore, automated ...
Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network
(Springer, 2015)
The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic ...
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks
(Springer, 2015)
The effect of anesthesia on the patient is referred to as depth of anesthesia. Rapid classification of appropriate depth level of anesthesia is a matter of great importance in surgical operations. Similarly, accelerating ...
Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach
(Univ Catolica de Valparaiso, 2015)
Background: Identifying and validating biomarkers' scores of polymorphic bands are important for studies related to the molecular diversity of pathogens. Although these validations provide more relevant results, the ...
USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS
(Natl Acad Pedagogical Sciences Ukraine, Inst Info Technol & Learning Tools, 2017)
Since the personal computer usage and internet bandwidth are increasing, e-learning systems are also widely spreading. Although e-learning has some advantages in terms of information accessibility, time and place flexibility ...
An Efficient and Reliable Algorithm for Wireless Sensor Network
(Multidisciplinary Digital Publishing Institute (MDPI), 2021)
In wireless sensor networks (WSN), flooding increases the reliability in terms of successful transmission of a packet with higher overhead. The flooding consumes the resources of the network quickly, especially in sensor ...
An Efficient and Reliable Multicasting for Smart Cities
(TECH SCIENCE PRESS, 2022)
The Internet of thing (IoT) is a growing concept for smart cities, and it is compulsory to communicate data between different networks and devices. In the IoT, communication should be rapid with less delay and overhead. ...
Man Overboard Detection System Using IoT for Navigation Model
(Tech Science Press, 2022)
Security measures and contingency plans have been established in order to ensure human safety especially in the floating elements like ferry, roro, catamaran, frigate, yacht that are the vehicles services for the purpose ...
Automatic Speaker Recognition Using Mel-Frequency Cepstral Coefficients Through Machine Learning
(Tech Science Press, 2022)
Automatic speaker recognition (ASR) systems are the field of Human-machine interaction and scientists have been using feature extraction and feature matching methods to analyze and synthesize these signals. One of the most ...
Monkeypox Detection Using CNN with Transfer Learning
(MDPI, 2023)
Monkeypox disease is caused by a virus that causes lesions on the skin and has been observed on the African continent in the past years. The fatal consequences caused by virus infections after the COVID pandemic have caused ...