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Keyword: Convolution
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Open AccessArticle
6 Pages, 1,341 KB Download PDF

Verification of the Usefulness of Personal Authentication with Aerial Input Numerals Using Leap Motion

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 5, Page # 369–374, 2019; DOI: 10.25046/aj040548
Abstract:

With the progress of IoT, everything is going to be connected to the network. It will bring us a lot of benefits however some security risks will be occurred by connecting network. To avoid such problems, it is indispensable to strengthen security more than now. We focus on personal authentication as one of the security.…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 954 KB Download PDF

Smart Meter Data Analysis for Electricity Theft Detection using Neural Networks

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 4, Page # 161–168, 2019; DOI: 10.25046/aj040420
Abstract:

The major problem in electric utility is Electrical Theft, which is harmful to electric power suppliers and causes economic loss. Detecting and controlling electrical theft is a challenging task that involves several aspects like economic, social, regional, managerial, political, infrastructural, literacy rate, etc. Numerous methods were proposed formerly for detecting electricity theft. However, the previous…

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(This article belongs to the SP7 (Special Issue on Advancement in Engineering and Computer Science 2019) & Section Electronic Engineering (EEE))
Open AccessArticle
5 Pages, 336 KB Download PDF

A Relation Extraction System for Indian Languages

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 2, Page # 65–69, 2019; DOI: 10.25046/aj040208
Abstract:

Relation Extraction is an important subtask of Information Extraction that involves extracting significant facts from natural language text. Extracting structured information from the plaintext is the ultimate goal of IE systems. The Indian language content on the internet is increasing day to day. Extracting relevant information from this huge unstructured data is a challenging task…

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(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Bioinformatics (BIF))
Open AccessArticle
10 Pages, 2,599 KB Download PDF

CNN-based Automatic Coating Inspection System

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 6, Page # 469–478, 2018; DOI: 10.25046/aj030655
Abstract:

The application of protective coatings is the primary method of protecting marine and offshore structures from corrosion. Coating breakdown and corrosion (CBC) assessment is a major aspect of coating failure management. Evaluation methods can result in unnecessary maintenance costs and a higher risk of failure. To achieve a comprehensive collection of data for CBC assessment,…

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(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Ocean Engineering (EOC))
Open AccessArticle
7 Pages, 1,135 KB Download PDF

Retrieving Dialogue History in Deep Neural Networks for Spoken Language Understanding

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1741–1747, 2017; DOI: 10.25046/aj0203213
Abstract:

In this paper, we propose a revised version of the semantic decoder for multi-label classification task in the spoken language understanding (SLU) pilot task of the Dialog State Tracking Challenge 5 (DSTC5). Our model concatenates two deep neural networks – a Convolutional Neural Network (CNN) and a Recurrent Neural Networks (RNN) – for detecting semantic…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Interdisciplinary Applications of Computer Science (CSI))

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