Showing 1 - 20 results of 29 for search 'Teddy Mayer~', query time: 3.05s Refine Results
  1. 1
    On the use of edge features and exponential decaying number of nodes in the hidden layers for handwritten signature recognition
    by Gunawan, Teddy Surya, Kartiwi, Mira
    Published 2018
    “… to be at least one layer and more. In this paper, an exponential decaying number of nodes in the hidden layers…”
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  2. 2
    Modelling and control of laboratory scale conveyor belt type grain dryer plant
    “…This paper presents a modelling and control of conveyor belt type grain dryer plant using system…”
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  3. 3
    Energy consumption evaluation in trust and reputation models for wireless sensor networks
    Subjects: “…TK452 Electric apparatus and materials. Electric circuits. Electric networks…”
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  4. 4
    Modeling of an environment friendly Hybrid Electric Vehicle (HEV)
    Subjects: “…TK452 Electric apparatus and materials. Electric circuits. Electric networks…”
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  5. 5
    PIC 16F877A for hybrid vehicle controller
    Subjects: “…TK452 Electric apparatus and materials. Electric circuits. Electric networks…”
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  6. 6
    Design and development of wireless PPG data acquisition for health monitoring application using bluetooth module
    Subjects: “…TK452 Electric apparatus and materials. Electric circuits. Electric networks…”
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  7. 7
    Comparison of selective harmonic elimination and SPWM techniques for unipolar inverters
    Subjects: “…TK452 Electric apparatus and materials. Electric circuits. Electric networks…”
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  8. 8
    Evaluating the effect of viewing angle in different conditions for gait recognition
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  9. 9
    A Comparative study of total harmonics distortion between Spwm and She-Pwm modulation techniques for inverters.
    Subjects: “…TK452 Electric apparatus and materials. Electric circuits. Electric networks…”
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  10. 10
    On the comparison of line spectral frequencies and mel-frequency cepstral coefficients using feedforward neural network for language identification
    by Gunawan, Teddy Surya, Kartiwi, Mira
    Published 2018
    “… feedforward neural network with various hidden layers and number of hidden nodes to identify five different…”
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  11. 11
    Video streaming evaluation Of H.264 SVC on IEEE 802.11g wireless network
    “… bitstream [1]. It contains the base layer and the enhancement layers. The base layer should be transmitted…”
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  12. 12
    Development of offline handwritten signature authentication using artificial neural network
    “… edge detector and averaging filter. A feedforward neural network with 1 hidden layer was trained using…”
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  13. 13
    Video streaming over wireless LAN using scalable extension of H.264/AVC
    “… deals with encoding process of the Fine-Grain SNR Scalability (FGS) scheme with two enhancement layers…”
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  14. 14
    Refined adaptive video quality demands over heterogeneous networks
    “… that match the layers with resources available at the peer. On one hand, to determine the highest potential…”
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  15. 15
    Edge detection of MRI images using artificial neural network
    “… produce optimum edge of MRI images, we varied the number of neurons in the hidden layer, as well…”
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  16. 16
    Speech emotion recognition using deep feedforward neural network
    “… and the recognition rate was evaluated. Based on the accuracy rate the MFCC, number of neurons and layers are adjusted…”
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  17. 17
    Development of language identification using line spectral frequencies and learning vector quantization networks
    “… (8000 Hz), LPC order (18), number of hidden layers (300), and learning rate (0.01). Results show…”
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  18. 18
    Low bit rate video coding for remote desktop operation of CNC milling
    “… will be in the downsampling of high resolution layer before the encoding process and upsampling the high layer data…”
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  19. 19
    Nonstationary signal reconstruction from TVAR coefficients
    “… in the first step, initial values for TVAR coefficients are estimated from synaptic weights of a three layer…”
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  20. 20
    Development of English handwritten recognition using deep neural network
    “… [0-9] and 52 letters [a-z, A-Z]. The proposed DNN used stacked two autoencoder layers and one softmax…”
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