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Keyword: Radial Basis Function
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Open AccessArticle
7 Pages, 680 KB Download PDF

Correlation-Based Incremental Learning Network for Gas Sensors Drift Compensation Classification

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 660–666, 2020; DOI: 10.25046/aj050479
Abstract:

A gas sensor array is used for gas analysis to aid in an inspection. The signals from the sensor array are fed into machine learning models for learning and classification. These signals are characterized by time series fluctuating according to the environment or drift. When an unseen pattern is entered, the classification may be incorrect,…

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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
17 Pages, 1,804 KB Download PDF

Development of Application Specific Electronic Nose for Monitoring the Atmospheric Hazards in Confined Space

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 1, Page # 200–216, 2019; DOI: 10.25046/aj040120
Abstract:

The presence of atmospheric hazards in confined space can contribute towards atmospheric hazards accidents that threaten the worker safety and industry progress. To avoid this, the environment needs to be observed. The air sample can be monitored using the integration of electronic nose (e-nose) and mobile robot. Current technology to monitor the atmospheric hazards is…

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(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Artificial Intelligence in Computer Science (CAI))
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))

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