This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Abstract: Multiple parallel sparse linear arrays (MPSLAs) can be strategically deployed in two-dimensional (2D) or three-dimensional (3D) space, offering a unique advantage by enabling easy conformal ...

This code is inspired by Cache-friendly, Parallel, and Samplesort-based Constructor for Suffix Arrays and LCP Arrays. We copied many ideas from the original C++ implementation CaPS-SA, most notably ...

Ruby Box is an experimental feature that provides separate spaces in a Ruby process to isolate application code, libraries, and monkey patches.

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

v3.0.7 – Improved LongestCommonSequence for faster execution. This caused the PartialRatioStrategy speedup. v3.0.6 – Optimized TokenInitialismRatio for faster execution and reduced memory allocations.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Arid coastal regions that are also prone to fog are prime locations for fog-harvesting devices as a water source, especially during prolonged droughts. But the standard technology is prone to clogging ...