ExtractoDAO Labs Launches TON618 NASA-Level 1.0: Computational Cosmology Software for DUT vs ΛCDM

New NASA-level software framework reproduces DUT vs ΛCDM results, resolving Hubble and growth tensions with Δχ² = ...
AZoM on MSN

Imaging silicon defects using Raman and PL multivariate imaging

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.
IEEE

Blind Quality Assessment Using Channel-Based Structural, Dispersion Rate Scores, and Overall Saturation and Hue for Underwater Images

Abstract: In underwater subsea environments light attenuation, water turbidity, and limitations of the optical devices make the captured images suffer from poor contrast and quality, proportional ...
GitHub

pyforeca: Forecastable Component Analysis (ForeCA) in Python

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...
IEEE

A Reliability Analysis Using Statistical Tool Cronbach's Alpha to Investigate the Impact of Microfinance on Financial Inclusion and Self-Help Groups

Abstract: This study explores the role of microfinance in strengthening Self-Help Groups (SHGs) and improving the financial and social well-being of their members using a statistical tool Cronbach's ...
GitHub

Adi-Deshmukh/Pydata-visualizer

A powerful and intuitive Python library for exploratory data analysis and data profiling. Pydata-visualizer automatically analyzes your dataset, generates interactive visualizations, and provides ...