Ships sharing the same channel sounds simple until two people talk at once, different countries speak different languages, ...

Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...

We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attention in recent years ...

OpenSimplex noise is an n-dimensional gradient noise function that was developed in order to overcome the patent-related issues surrounding Simplex noise, while continuing to also avoid the ...

The code provided here is almost entirely unchanged from the code used to generate the results demonstrated in the paper. After publication, we have discovered a couple of mistakes that we detail in ...

This ESP32 project is an exciting and interactive way to control LEDs using hand gestures. We will use an ESP32 board, Python, MediaPipe, and OpenCV to create a system that can detect specific hand ...

The study of sample taxonomic composition has evolved from direct observations and labor-intensive morphological studies to different DNA sequencing methodologies. Most of these studies leverage the ...