Wavelet analysis
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To Study the VLF Signal for SeismoElectromagnetic Phenomena by Using Wavelet Analysis
Abstract: The research focuses on exploring the potential of Very Low Frequency (VLF) signals as indicators of seismic and geomagnetic activities, particularly in the context of earthquake prediction. It delves into the analysis of VLF data using wavelet-based methodologies and neural networks to detect anomalies preceding seismic events.Observations and analysis of VLF data revealed fluctuations and discrepancies, notably "silent days," occurring several days before seismic events. These irregularities studied through wavelet …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 2, 2023 Read article
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Recognition and Classification of Clothing Pattern and Color
Abstract: Choosing clothes with complex patterns and colors is a challenging task for visually impaired and blind people. The automatic clothing pattern and color recognition is also a challenging problem due to the large intra-class variation, rotation, scaling and illumination. Here, we recognize clothing patterns in four categories (plaid, striped, pattern-less, and irregular), and identify 11 clothing colors (red, orange, yellow, green, cyan, blue, purple, pink, black, grey, and white). The …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 2, 2016 · pp. 33–41 Read article