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Keyword: Exponential growth
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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
8 Pages, 897 KB Download PDF

Predictive Technology Management for the Identification of Future Development Trends and the Maximum Achievable Potential Based on a Quantitative Analysis

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1042–1049, 2017; DOI: 10.25046/aj0203132
Abstract:

A company’s ability to find the most profitable technology is based on a precise forecast of achievement potential. Technology Management (TM) uses forecasting models to analyse future potentials, e.g. the Gartner Hype Cycle, Arthur D. Little’s technology lifecycle or McKinsey’s S-curve model. All these methods are useful for qualitative analysis in the planning of strategic…

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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))
Open AccessArticle
18 Pages, 592 KB Download PDF

Can parallelization save the (computing) world?

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 1, Page # 141–158, 2019; DOI: 10.25046/aj040114
Abstract:

As all other laws of the growth in computing, the growth of computing performance also shows a ”logistic curve”-like behavior, rather than an unlimited exponential growth. The stalling of the single-processor performance experienced nearly two decades ago forced computer experts to look for alternative methods, mainly for some kind of parallelization. Solving the task needs…

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(This article belongs to Section Theory & Methods in Computer Science (CTM))

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