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Keyword: Information Retrieval
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Open AccessArticle
11 Pages, 931 KB Download PDF

Towards a Documents Processing Tool using Traceability Information Retrieval and Content Recognition Through Machine Learning in a Big Data Context

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1267–1277, 2020; DOI: 10.25046/aj0506151
Abstract:

In 1980, an application was developed to track, manage and store documents in electronic format. Scan technology has enabled organizations to digitize papers for easier document storage and tracking. Document management tools have since developed by introducing new functionalities, related to security, users services, workflow and audit. Our research is part of the context of…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
13 Pages, 1,118 KB Download PDF

A Practical PIR-based Scheme for Discovering Nearby Places for Smartphone Applications

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 1, Page # 27–39, 2019; DOI: 10.25046/aj040104
Abstract:

We present a privacy-preserving approach for discovering nearby places of interest to Alice. In this approach, the proposed protocol allows Alice to learn whether there is any place that she is looking for near her. However, the location-based service (LBS) that tries to help Alice to find nearby places does not learn Alice’s location. Alice…

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(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
5 Pages, 725 KB Download PDF

TPMTM: Topic Modeling over Papers’ Abstract

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 2, Page # 69–73, 2018; DOI: 10.25046/aj030208
Abstract:

Probabilities topic models are active research area in text mining, machine learning, information retrieval, etc. Most of the current statistical topic modeling methods, such as Probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA). They are used to build models from unstructured text and produce a term-based representation to describe a topic by choosing…

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(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
8 Pages, 1,398 KB Download PDF

Combination of Salient Object Detection and Image Matching for Object Instance Recognition

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 2, Page # 584–591, 2020; DOI: 10.25046/aj050273
Abstract:

Object Instance Recognition aims to classify objects specifically and usually use a single reference image. It is possible to be used in many applications such as visual search, information retrieval and augmented reality. However, various things affect the appearance of the objects, which makes the recognition process harder, especially if a single reference image is…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
7 Pages, 628 KB Download PDF

A Survey of Text Mining in Social Media: Facebook and Twitter Perspectives

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 1, Page # 127–133, 2017; DOI: 10.25046/aj020115
Abstract:

Text mining has become one of the trendy fields that has been incorporated in several research fields such as computational linguistics, Information Retrieval (IR) and data mining. Natural Language Processing (NLP) techniques were used to extract knowledge from the textual text that is written by human beings. Text mining reads an unstructured form of data…

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(This article belongs to the SP2 (Special Issue on Computer Systems, Information Technology, Electrical and Electronics Engineering 2017) & Section Artificial Intelligence in Computer Science (CAI))

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