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Open AccessArticle
10 Pages, 641 KB Download PDF

Application of EARLYBREAK for Line Segment Hausdorff Distance for Face Recognition

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 557–566, 2020; DOI: 10.25046/aj050466
Abstract:

The Hausdorff distance (HD) is defined as MAX-MIN distance between two geometric objects for measuring the dissimilarity between two objects. Because MAX-MIN distance is sensitive with the outliers, in face recognition field, average Hausdorff distance is used for measuring the dissimilarity between two sets of features. The computational complexity of HD, and also average HD,…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
8 Pages, 1,212 KB Download PDF

Hiding Information in DNA Sequence Data using Open Reading Frame Guided Splicing

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 3, Page # 164–171, 2021; DOI: 10.25046/aj060319
Abstract:

Encouraged by the huge publicly available genomic databases, research in the field of steganography was recently extended to utilize DNA sequence data to conceal secret information. As an extension of the work presented earlier by the author, this paper proposes an approach for a secure data communication channel between two parties. At one side of…

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(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
9 Pages, 1,129 KB Download PDF

Artificial Bee Colony-Optimized LSTM for Bitcoin Price Prediction

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 5, Page # 375–383, 2019; DOI: 10.25046/aj040549
Abstract:

In recent years, deep learning has been widely used for time series prediction. Deep learning model that is most often used for time series prediction is LSTM. LSTM is widely used because of its excellence in remembering very long sequences. However, doing training on models that use LSTM requires a long time. Trying from one…

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(This article belongs to Section Cybernetics in Computer Science (CCY))

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