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Keyword: Confidence Interval
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Open AccessArticle
8 Pages, 1,443 KB Download PDF

Performance of Robust Confidence Intervals for Estimating Population Mean Under Both Non-Normality and in Presence of Outliers

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 3, Page # 442–449, 2020; DOI: 10.25046/aj050355
Abstract:

We proposed two robust confidence interval estimators, namely, the median interquartile range confidence interval (MDIQR) and the trimean interquartile range confidence interval (TRIQR) for the population mean (µ) as an alternative to the classical confidence interval. The proposed methods are based on the asymptotic normal theorem (ANT) for the sample median (MD) and the sample…

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(This article belongs to Section Statistics & Probability (STP))
Open AccessArticle
12 Pages, 3,522 KB Download PDF

Planning an Availability Demonstration Test with Consideration of Confidence Level

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1565–1576, 2017; DOI: 10.25046/aj0203195
Abstract:

The full service life of a technical product or system is usually not completed after an initial failure. With appropriate measures, the system can be returned to a functional state. Availability is an important parameter for evaluating such repairable systems: Failure and repair behaviors are required to determine this availability. These data are usually given…

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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
9 Pages, 959 KB Download PDF

Auto-Encoder based Deep Learning for Surface Electromyography Signal Processing

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 1, Page # 94–102, 2018; DOI: 10.25046/aj030111
Abstract:

Feature extraction is taking a very vital and essential part of bio-signal processing. We need to choose one of two paths to identify and select features in any system. The most popular track is engineering handcrafted, which mainly depends on the user experience and the field of application. While the other path is feature learning,…

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(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 1,031 KB Download PDF

Self-Organizing Map based Feature Learning in Bio-Signal Processing

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 505–512, 2017; DOI: 10.25046/aj020365
Abstract:

Feature extraction is playing a significant role in bio-signal processing. Feature identification and selection has two approaches. The standard method is engineering handcraft which is based on user experience and application area. While the other approach is feature learning that based on making the system identify and select the best features suit the application. The…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Biomedical Engineering (EBI))
Open AccessArticle
11 Pages, 1,272 KB Download PDF

Evaluation of Three Evaporation Estimation Techniques In A Semi-Arid Region (Omar El Mukhtar Reservoir Sluge, Libya- As a case Study)

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 2, Page # 19–29, 2017; DOI: 10.25046/aj020204
Abstract:

In many semi-arid countries in the world like Libya, drinking water supply is dependent on reservoirs water storage. Since the evaporation rate is very high in semi-arid countries, estimates and forecasts of reservoir evaporation rate can be useful in the management of major water source. Many researchers have been investigating the suitability of estimates evaporation…

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(This article belongs to Section Water Resources (WRS))

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