Yazar "Erdem, Hamit" için Mühendislik Fakültesi / Faculty of Engineering listeleme

Toplam kayıt 11, listelenen: 1-11

    • Development of a MFCC-SVM Based Turkish Speech Recognition System 

      Tombaloglu, Burak; Erdem, Hamit (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 ...

    • Feature selection and multiple classifier fusion using genetic algorithms in intrusion detection systems 

      Erdem, Hamit; Ozgur, Atilla (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 ...

    • Journal Finder for TRDIZIN: Baseline Study 

      Demirkan, Mert; Ozgur, Atilla; Erdem, Hamit (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 ...

    • Parkinson's Disease Monitoring from Gait Analysis via Foot-Worn Sensors 

      Asuroglu, Tunc; Acici, Koray; Erdas, Cagatay Berke; Toprak, Munire Kilinc; Erdem, Hamit; Ogul, Hasan (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, ...

    • A Random Forest Method to Detect Parkinson's Disease via Gait Analysis 

      Acici, Koray; Erdas, Cagatay Berke; Asuroglu, Tunc; Toprak, Munire Kilinc; Erdem, Hamit; Ogul, Hasan (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. ...

    • Sparsity-driven weighted ensemble classifier 

      Erdem, Hamit; Ozgur, Atilla; Nar, Fatih (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 ...

    • A SVM Based Speech to Text Converter for Turkish Language 

      Tombaloglu, Burak; Erdem, Hamit (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 ...

    • A Systematic Review of Transfer Learning-Based Approaches for Diabetic Retinopathy Detection 

      Oltu, Burcu; Karaca, Busra Kubra; Erdem, Hamit; Ozgur, Atilla (2023)
      Diabetic retinopathy, which is extreme visual blindness due to diabetes, has become an alarming issue worldwide. Early and accurate detection of DR is necessary to prevent the progression and reduce the risk of blindness. ...

    • Time Harmonic Analysis in Electric Power Systems 

      Germec, Kadir Egemen; Erdem, Hamit (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 ...

    • Tuning of Output Scaling Factor in PI-Like Fuzzy Controllers for Power Converters Using PSO 

      Erdem, Hamit; Altinoz, Okkes Tolga (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 ...

    • Turkish Speech Recognition Techniques and Applications of Recurrent Units (LSTM and GRU) 

      Tombaloglu, Burak; Erdem, Hamit (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 ...