Search Results - (convolution OR conversion)

Super-low resolution face recognition using integrated Efficient Sub-Pixel Convolutional Neural Network (ESPCN) and Convolutional Neural Network (CNN) by Talab, Mohammed Ahmed, Suryanti, Awang, Najim, Saif Al-din M.

“…The proposed Efficient Sub-Pixel Convolutional Neural Network is used for the conversion of low-resolution images into a high-resolution format for onward recognition. …”
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Postal address handwritten recognition using convolutional neural network / Nur Hasyimah Abd Aziz by Abd Aziz, Nur Hasyimah

“…The proposed system is able to perform the conversion of handwritten image into digital format that are executable by computer. …”
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Preliminary Evaluation of Convolutional Neural Network Acoustic Model for Iban Language Using NVIDIA NeMo by Steve Olsen, Michael, Sarah Flora, Samson Juan, Edwin, Mit

“…There are several variants of ANNs, such as deep neural networks (DNNs), recurrent neural networks (RNNs), and convolutional neural networks (CNNs). A CNN model is widely used as a method for improving image processing performance. …”
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Chinese character recognition system using Convolutional Neural Network (CNN) / Nur Fatihah Hatini Mat Sam by Mat Sam, Nur Fatihah Hatini

“…This study aims to develop a Chinese character recognition system using Convolutional Neural Network (CNN) system that is specifically designed for the challenging task of recognizing Chinese characters, taking into consideration the complex structures and various styles of writing that these characters possess. …”
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Insulator Defect Detection in Power Lines Based on Improved Convolution Neural Network by Annie, Joseph, Mohd Rahul, Mohd Rafiq, Kuryati, Kipli, Kho, Lee Chin, Tengku Mohd Afendi, Zulcaffle, Charlie Sia, Chin Voon

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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

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

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

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

“…This Thesis highlights the performance of Convolutional coding in WCDMA with different channel. …”
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Enhanced Semantic Image Segmentation Through Convolutional and Atrous Convolution Techniques by Meghana, H.V., Ushashree, R.

“…This paper presents an enhanced method for semantic partitioning through merging traditional convolutional level and atrous (extended) convolution techniques. …”
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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

“…This Thesis highlights the performance of Convolutional coding in WCDMA with different channel. …”
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A review of Convolutional Neural Networks in Remote Sensing Image by Liu, Xinni, Han, Fengrong, Kamarul Hawari, Ghazali, Izzeldin, I. Mohd, Zhao, Yue

“…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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Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification by Ashraf, Arselan, Gunawan, Teddy Surya, Arifin, Fatchul, Kartiwi, Mira, Sophian, Ali, Habaebi, Mohamed Hadi

“…Image processing techniques such as histogram equalization, color conversion, cropping, and resizing are applied to the frames before labeling. …”
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A hierarchical deep convolutional neural network for asphalt pavement crack detection and classification / Nor Aizam Muhamed Yusof by Muhamed Yusof, Nor Aizam

“…Therefore, in tackling these issues, this study proposes a fully automated pavement crack detection and classification using a new Deep Convolutional Neural Network architecture (DCNN) called hierarchical DCNN (Hi-DCNN). …”
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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

“…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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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

“…There are a number of reasons that convolutional neural networks (CNNs) are becoming important. …”
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Developed convolutional encoder and viterbi decoder using C++ by Chin Toong Hing

“…A Convolutional encoder (CE) and Viterbi algorithm (VA) is developed using c++ program to demonstrate the encoding and encoding for a 1/2 rate Convolutional encoder. …”

Performance Evaluation Of Convolutions And Atrous Convolutions In Deep Networks For Retinal Disease Segmentation On Optical Coherence Tomography Volumes by Alsaih, Khaled, Yusoff, Mohd Z, Tang, Tong B, Faye, Ibrahima, Mériaudeau, Fabrice

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On finite product Of convolutions and classifications of hyperbolic and elliptic equations. by Kilicman, Adem, Eltayeb, H.

“…It is shown that the classifications of hyperbolic and elliptic new equations are similar to the original equations that is the classification is invariant after finite double convolutions product.…”
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A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks by , Abdul Wahid, Khan, Adnan Umar, , Mukhtarullah, Khan, Sheroz, Shah, Jawad

“…Convolutional Sparse Coding (CSC) framework has been proposed recently to explain relation between Convolutional Neural Networks (CNNs) and sparse coding theory. …”
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