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

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 ...

1 Boone Pickens School of Geology, Oklahoma State University, Stillwater, OK, USA. 2 Centre for Energy Research and Development (CERD), Obafemi Awolowo University (OAU), Ife, Nigeria. 3 Department of ...

Groundwater aquifers are complex systems that require accurate lithological and hydrogeological characterization for effective development and management. Traditional methods, such as core analysis ...

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 ...

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 ...

Aquatic organisms face lethal temperatures during the increasingly frequent heat waves. Knowledge of what limits survival in extreme temperatures is thus critical to predict how organisms will respond ...