American Journal of Computer Science and Technology

Volume 4, Issue 4, December 2021

  • Optimizing the Hyper-parameters of Multi-layer Perceptron with Greedy Search

    Mingyu Bae

    Issue: Volume 4, Issue 4, December 2021
    Pages: 90-96
    Received: Sep. 13, 2021
    Accepted: Oct. 04, 2021
    Published: Oct. 15, 2021
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    Abstract: The core of deep learning network is hyper-parameters which are updated through learning process with samples. Whenever a sample is fed into deep learning network, parameters change according to gradient value. At this point, the number of samples and the amount of learning are crucial, which are batch size and learning rate. To find the optimal ba... Show More
  • Scaling up an Unsupervised Image-to-Image Translation Framework from Basic to Complex Scenes

    Daniel Filipe Nunes Silva, Samuel Chassot, Luca Barras, Deblina Bhattacharjee, Sabine Süsstrunk

    Issue: Volume 4, Issue 4, December 2021
    Pages: 97-105
    Received: Jul. 27, 2021
    Accepted: Aug. 31, 2021
    Published: Oct. 29, 2021
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    Abstract: Unsupervised image-to-image translation methods have received a lot of attention in the last few years. Multiple techniques emerged to tackle the initial challenge from different perspectives. Some focus on learning as much as possible from the target-style using several images of that style for each translation while others make use of object dete... Show More
  • Research and Application of Rectified-NAdam Optimization Algorithm in Data Classification

    Zhu Zhixuan, Hou Zaien

    Issue: Volume 4, Issue 4, December 2021
    Pages: 106-110
    Received: Sep. 27, 2021
    Accepted: Oct. 25, 2021
    Published: Nov. 05, 2021
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    Abstract: Data classification exists in various practical applications, such as the classification of words in natural language processing, classification of meteorological conditions, classification of environmental pollution degree, and so on. Artificial neural network is a basic method of data classification. A reasonable optimization algorithm will get b... Show More
  • Pedestrian Tracking Algorithm Combining Contextual Information and Attention Mechanism

    Shunliang Xiao, Zanxia Qiang, Weiguang Liu, Xianfu Bao

    Issue: Volume 4, Issue 4, December 2021
    Pages: 111-118
    Received: Oct. 08, 2021
    Accepted: Oct. 25, 2021
    Published: Nov. 05, 2021
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    Abstract: In the real scene, because pedestrians are occluded or the size of pedestrians is small, the convolutional neural network cannot fully extract their features, resulting in poor detection results. In two adjacent frames, the same pedestrian is prone to errors when doing data association, which makes the pedestrian tracking effect unsatisfactory. In ... Show More
  • Applications Based on a Novel Sudoku Solver Algorithm and Grid Based Models

    Abhishake Kundu, Anand Sunder

    Issue: Volume 4, Issue 4, December 2021
    Pages: 119-128
    Received: Aug. 18, 2021
    Accepted: Nov. 24, 2021
    Published: Dec. 02, 2021
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    Abstract: Numerous algorithms for solving sudoku puzzles have been explored, most of which use a backtracking approach. Thus computational efficiency of such algorithms can sometimes yield poor results. We propose a probabilistic solver algorithm which, iteratively fills the sudoku grid and solves the same. In this approach we make use of a dynamic random nu... Show More