IEEE

Using Mine Danger Maps Based on Bayesian Networks to Evaluate an Autonomous Hunt for Multiple Naval Mine Types

Abstract: This article presents a new approach to the evaluation of autonomous naval mine hunting called the mine shape Bayes net (MSBN). MSBN models the presence of various mine shapes over a 2-D ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

Inputs: describes all the raw inputs to run the code Code description: describes the python code and how to run it Code to figure mapping: provides mapping of figures in the paper to code used to ...
GitHub

Configure Panorama Address Objects

A CLI tool that creates IP-netmask address objects on Palo Alto Networks Panorama using the pan-os-python SDK. Address objects are defined in YAML configuration files organized by device group, ...
IEEE

A Novel Bayesian-Optimized Hybrid Recurrent Neural Networks for Predicting Lettuce Harvest Time in Controlled-Environment Agriculture

Abstract: Accurately predicting the harvest time of a crop remains a significant challenge in agricultural management and sustainable crop production, as it is essential for optimising harvesting ...