Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, and ...

1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...

This is a Python code for timeseries analysis using WWZ transformations. It uses Foster's abbreviated Morlet Wavelet to analyse timeseries using a WWZ (Weighted ...

Edge detection is a crucial task in image processing and remote sensing, particularly for accurately identifying and separating shapes in noisy digital images. To enhance robustness and detail in edge ...

Vibroseis Similarity tests for controlled-source land seismic surveys are routinely performed to assess the output performance of vibrator mechanics. These tests are crucial to make sure the output ...

Exploring the stock market is more than tracking ups and downs on a chart. It's about understanding the essence of market sentiment and the narratives behind gains and losses. We know that mastering ...

Materials Informatics Initiative, RD technology and digital transformation center, JSR Corporation, 3-103-9 Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa 210-0821, Japan Graduate School of Science and ...

Lots of studies have been carried out on characteristic of epileptic Electroencephalograph (EEG). However, traditional EEG characteristic research methods lack exploration of spatial information. To ...

What does this library do? This repository contains a library of functions for performing temporal cross-correlations on wavelet-domain data. Traditionally, cross-correlation analysis on ...

The spectral analysis of signals is currently either dominated by the speed–accuracy trade-off or ignores a signal’s often non-stationary character. Here we introduce an open-source algorithm to ...