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 = ...

AI-designed diffractive optical processors pave the way for low-power structural health monitoring

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...
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 ...
Semiconductor Engineering

Are You Using Structural Patterns In An SLT Environment?

Extending the in‑field life of your silicon is essential for long‑term success and for staying ahead of your competitors in today’s rapidly evolving digital world of data centers, automotive and ...
IEEE

Reliability Assessment and Condition Monitoring of Wind Energy Conversion Systems Using Bayesian Networks: Recent Advances and Key Insights

Abstract: Wind energy conversion systems (WECSs) play a vital role in the transition to sustainable energy, requiring continuous advancements in reliability, efficiency, and predictive maintenance.