Ara
Toplam kayıt 11, listelenen: 1-10
Development of a MFCC-SVM Based Turkish Speech Recognition System
(2016)
In this study, a SVM-MFCC based Turkish Speech Recognition system is devoloped. In the structure, Mel Frequency Cepstral Coefficients (MFCC) are used for feature extraction and Support Vector Machines(SVM) are used for ...
Parkinson's Disease Monitoring from Gait Analysis via Foot-Worn Sensors
(2018)
Background: In Parkinson's disease (PD), neuronal loss in the substantia nigra ultimate in dopaminergic denervation of the stiratum is followed by disarraying of the movements' preciseness, automatism, and agility. Hence, ...
Tuning of Output Scaling Factor in PI-Like Fuzzy Controllers for Power Converters Using PSO
(2016)
Proportional-Integral (PI) like Fuzzy Logic Controllers (FLC) has been widely used for control of static power converters (SPC). The performance of these controllers is sensitive to controller rules, parameters of membership ...
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis
(2017)
Remote care and telemonitoring have become essential component of current geriatric medicine. Intelligent use of wireless sensors is a major issue in relevant computational studies to realize these concepts in practice. ...
Journal Finder for TRDIZIN: Baseline Study
(2021)
One of the main steps in publication of a paper is finding a related journal for the work of the researchers. In the recent years, there have been an increase in scientific papers publications. This situation leads the ...
A SVM Based Speech to Text Converter for Turkish Language
(2017)
In proposed speech to text conversion, a Support Vector Machines (SVM) based Turkish speech to text converter system has been developed. In the recognition system, Mel Frequency Cepstral Coefficients (MFCC) has been applied ...
Time Harmonic Analysis in Electric Power Systems
(2015)
In this study, for time-varying signals in electric power systems, a multi functional system structure involving fundamental frequency detection, phase angle and amplitude estimation of harmonic and interharmonic components ...
Sparsity-driven weighted ensemble classifier
(2018)
In this study, a novel sparsity-driven weighted ensemble classifier (SDWEC) that improves classification accuracy and minimizes the number of classifiers is proposed. Using pre-trained classifiers, an ensemble in which ...
Feature selection and multiple classifier fusion using genetic algorithms in intrusion detection systems
(2018)
With the improvements in information systems, intrusion detection systems (IDS) become more important. IDS can be thought as a classification problem. An important step of classification applications is feature selection ...
Turkish Speech Recognition Techniques and Applications of Recurrent Units (LSTM and GRU)
(2021)
A typical solution of Automatic Speech Recognition (ASR) problems is realized by feature extraction, feature classification, acoustic modeling and language modeling steps. In classification and modeling steps, Deep Learning ...