Search Results - ((convolution OR (convolutional OR conventional)) OR convocation)

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  1. 1
    Convolutional neural network-based finger vein recognition using near infrared images

    Convolutional neural network-based finger vein recognition using near infrared images by Fairuz, Subha, Habaebi, Mohamed Hadi, Elsheikh, Elsheikh Mohamed Ahmed, Chebil, Jalel

    Published 2018
    “…In this paper, we used 5 convolutional layers and 4 fully-connected layers where our developed network has shown the capability to produce the result with almost 100% accuracy rate which became possible due to the fact that deep learning, an end-to-end system is used which performs better in a lot of aspects in comparison to conventional techniques.…”
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  2. 2
    Convolution coder software implementation using VIiterbiDecoding algorithm

    Convolution coder software implementation using VIiterbiDecoding algorithm by Khalifa, Othman Omran, Al-Maznaee, Tariq, Munjid, Mahmood, Hussan, Aisha

    Published 2008
    “…The paper will be in a convincing manner and authors aim to explain to the reader the advantages of convolutional coding with Viterbi decoding over conventional decoding techniques in terms of BER.…”
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  3. 3
    Finger-Vein Biometric Identification Using Convolutional Neural Network

    Finger-Vein Biometric Identification Using Convolutional Neural Network by Syafeeza, Ahmad Radzi, Mohamed, Khalil-Hani, Rabia, Bakhteri

    Published 2016
    “…A novel approach using a convolutional neural network (CNN) for finger-vein biometric identification is presented in this paper. …”
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  4. 4
    Gender Classification: A Convolutional Neural Network Approach

    Gender Classification: A Convolutional Neural Network Approach by Shan, Sung Liew, Mohamed, Khalil-Hani, Syafeeza, Ahmad Radzi, Rabia, Bakhteri

    Published 2016
    “…The number of processing layers in the CNN is reduced to only four by fusing the convolutional and subsampling layers. Unlike in conventional CNNs, we replace the convolution operation with cross-correlation, hence reducing the computational load. …”
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  5. 5
    Stride based Convolutional Neural Network for Speech Emotion Recognition

    Stride based Convolutional Neural Network for Speech Emotion Recognition by Wani, Taiba Majid, Gunawan, Teddy Surya, Ahmad Qadri, Syed Asif, Mansor, Hasmah, Arifin, Fatchul, Ahmad, Yasser Asrul

    Published 2021
    “…The main objective of this paper is to design a suitable model of Convolutional Neural Network (CNN) – Stride-based Convolutional Neural Network (SCNN) by taking a smaller number of convolutional layers and eliminate the pooling-layers to increase computational stability. …”
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  6. 6
    Space-time and space-frequency OFDM with convolutional precoding over fading channels

    Space-time and space-frequency OFDM with convolutional precoding over fading channels by Noordin, Nor Kamariah, Mohd Ali, Borhanuddin, Jamuar, Sudhanshu Shekhar, Ismail, Mahamod

    Published 2008
    “…We built our ST and SF-OFDM on top of our coded OFDM (COFDM) with convolutional coding of rate 1/4 and constraint length of 10. …”
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  7. 7
    Fast Transient Simulations From S-Parameters With Improved Reference Impedance

    Fast Transient Simulations From S-Parameters With Improved Reference Impedance by Khairulzaman, Mohd Ridzuan

    Published 2015
    “…Subsequently, the S-parameter convolution can be further improved by optimizing the reference system of the model. …”
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  8. 8
    Detection of aortic valve from echocardiography in real-time using convolutional neural network

    Detection of aortic valve from echocardiography in real-time using convolutional neural network by Nizar M.H.B.A., Chan C.K., Yusof A.K.M., Khalil A., Lai K.W.

    Published 2024
    Subjects:
    conference output::conference proceedings::conference paper
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  9. 9
    Note on the numerical solutions of the general matrix convolution equations by using the iterative methods and box convolution product

    Note on the numerical solutions of the general matrix convolution equations by using the iterative methods and box convolution product by Kilicman, Adem, Al-Zhour, Zeyad

    Published 2010
    “…We define the so-called box convolution product and study their properties in order to present the approximate solutions for the general coupled matrix convolution equations by using iterative methods. …”
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  10. 10
    On the connection between Kronecker and Hadamard convolution products of matrices and some applications.

    On the connection between Kronecker and Hadamard convolution products of matrices and some applications. by Kilicman, Adem, Al Zhour, Zeyad

    Published 2009
    “…Further we establish some attractive inequalities for Hadamard convolution product. It is also proved that the results can be extended to the finite number of matrices, and some basic properties of matrix convolution products are also derived.…”
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  11. 11
    Review of deep convolution neural network in image classification

    Review of deep convolution neural network in image classification by Al-Saffar, Ahmed Ali Mohammed, Tao, Hai, Mohammed, Ahmed Talab

    Published 2017
    “…This paper first introduces the rise and development of deep learning and convolution neural network, and summarizes the basic model structure, convolution feature extraction and pooling operation of convolution neural network. …”
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  12. 12
    Performance study on effect of convolutional coding in WCDMA system with AWGN and multipath rayleigh fading channel / Siti Noorafiza Sudin

    Performance study on effect of convolutional coding in WCDMA system with AWGN and multipath rayleigh fading channel / Siti Noorafiza Sudin by Sudin, Siti Noorafiza

    Published 2010
    “…This Thesis highlights the performance of Convolutional coding in WCDMA with different channel. …”
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  13. 13
    Enhanced Semantic Image Segmentation Through Convolutional and Atrous Convolution Techniques

    Enhanced Semantic Image Segmentation Through Convolutional and Atrous Convolution Techniques by Meghana, H.V., Ushashree, R.

    Published 2024
    “…This paper presents an enhanced method for semantic partitioning through merging traditional convolutional level and atrous (extended) convolution techniques. …”
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  14. 14
    Performance study on effect of convolutional coding in WCDMA system with AWGN and multipath rayleigh fading channel: article / Siti Noorafiza Sudin

    Performance study on effect of convolutional coding in WCDMA system with AWGN and multipath rayleigh fading channel: article / Siti Noorafiza Sudin by Sudin, Siti Noorafiza

    Published 2010
    “…This Thesis highlights the performance of Convolutional coding in WCDMA with different channel. …”
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  15. 15
    Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification A Case Study for COVID-19

    Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification A Case Study for COVID-19 by Ku Muhammad Naim, Ku Khalif, Seng, Woo Chaw, Gegov, Alexander, Ahmad Syafadhli, Abu Bakar, Nur Adibah, Shahrul

    Published 2024
    “…Convolutional Neural Networks (CNNs) have garnered significant utilisation within automated image classification systems. …”
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  16. 16
    A review of Convolutional Neural Networks in Remote Sensing Image

    A review of Convolutional Neural Networks in Remote Sensing Image by Liu, Xinni, Han, Fengrong, Kamarul Hawari, Ghazali, Izzeldin, I. Mohd, Zhao, Yue

    Published 2019
    “…In this article, firstly we have summarized the basic structure and several classical convolutional neural network architectures. Secondly, the recent research problems on convolutional neural network are discussed. …”
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  17. 17
    Structural crack detection using deep convolutional neural network / Raza Ali

    Structural crack detection using deep convolutional neural network / Raza Ali by Raza , Ali

    Published 2022
    “…The CSN is an encoder-decoder architecture with four convolutional blocks in each section. Each convolutional block has residual connections with a different number of filters in each convolutional operation that segments the crack pixels and non-crack pixels with unbiased probabilities. …”
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  18. 18
    Speech emotion recognition using convolution neural networks and deep stride convolutional neural networks

    Speech emotion recognition using convolution neural networks and deep stride convolutional neural networks by Wani, Taiba, Gunawan, Teddy Surya, Ahmad Qadri, Syed Asif, Mansor, Hasmah, Kartiwi, Mira, Ismail, Nanang

    Published 2020
    “…In this paper, we have modified a recently developed different network architecture of convolutional neural networks, i.e., Deep Stride Convolutional Neural Networks (DSCNN), by taking a smaller number of convolutional layers to increase the computational speed while still maintaining accuracy. …”
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  19. 19
    Convolutional neural network model in machine learning methods and computer vision for image recognition: a review

    Convolutional neural network model in machine learning methods and computer vision for image recognition: a review by R. M. Q. R., Jaapar, Muhamad Arifpin, Mansor

    Published 2018
    “…There are a number of reasons that convolutional neural networks (CNNs) are becoming important. …”
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  20. 20
    Image-based oil palm leaf disease detection using convolutional neural network

    Image-based oil palm leaf disease detection using convolutional neural network by Jia, Heng Ong, Pauline Ong, Pauline Ong, Woon, Kiow Lee

    Published 2022
    “…In this study, deep learning models, specifically, the AlexNet convolutional neural network (CNN) and the combination of AlexNet and support vector machine (AlexNet-SVM), which overcome the limitation of handcrafting of feature representation were implemented for oil palm leaf disease identification. …”
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