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

Abstract: The emergence of networked systems in various fields brings many complex distributed optimization problems, where multiple agents in the system need to optimize a global objective ...

Historically, cosmological models rely on "free parameters"—arbitrary, human-tuned variables inserted into the math to force the formulas to match reality. Kulkarni's updated simulation completely ...

We use Quarto to generate all outputs. @book{Nguyen2025TLBoAlg, author = {Duc-Tam Nguyen}, title = {The Little Book of algorithms}, year = {2025}, url = {https ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Introduction Envision our digital world as a sprawling universe filled with glittering constellations of encrypted data, each packet of information ...

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...

This is the final project within the course, "Developing AI Applications with Python and Flask" in the IBM Full Stack Software Developer Certificate. The objective of this project is to develop an ...

After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is collapsing the gap between vision and execution.