Real-time cardinality estimator built for the Future of Database Programming Contest. Implements histogram-based methods, HyperLogLog, MCV tracking, and optimized data structures for high-performance. Achieved first place in the competition

This is a research project that performs a comparative study of common edge detection operators in image processing using mean squared error (SNR), peak signal to noise ratio (PSNR), and Execution time (Et). It is carried out in MATLAB

Trabalho de matéria de Modelagem e Otimização de Algoritmos