spectral decomposition of time series has a significant role in seismic data processing and interpretation. since the earth acts as a low-pass filter, it changes frequency content of passing seismic waves. conventional representing methods of signals in time domain and frequency domain cannot show time and frequency information simultaneously. time-frequency transforms upgraded spectral decompo...

We have divided rebuilding food systems into two phases, one of which is to maximize productivity in a way that maximizes sustainability and economic benefits. Another minimize hunger insecurity, with regard equity. Firstly, we use Euclidean Metri Complete Connection Method for cluster analysis according the production efficiency structure various foods. Then countries are classified different ...

Principal component analysis (PCA) has been applied to analyze random fields in various scientific disciplines. However, the explainability of PCA remains elusive unless strong domain-specific knowledge is available. This paper provides a theoretical framework that builds duality between eigenmodes field and eigenstates Schr\"odinger equation. Based on we propose algorithm replace expensive sol...