Abstract: Accurate model selection is essential in predictive modelling across various domains, significantly impacting decision-making and resource allocation. Despite extensive research, the model ...

Quantum algorithms are emerging tools in the design of functional materials due to their powerful solution space search capability. How to balance the high price of quantum computing resources and the ...

Abstract: The principal objective of this article is to examine, compare, and develop a time series model for forecasting the growth of the life insurance business in Thailand. The proposed ...

Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets ...

The purpose of this investigation was to use Python to model global city temperatures for 400+ cities for many decades. The process used a compilation of secondary data to find my renowned sources and ...

Regression Games has raised $4.2 million to bring the power of AI to gaming and esports competitions. That’s pretty good for a 25-year-old solo entrepreneur with a two-month-old company. But Aaron ...

This blog was originally published by Contino here. Written by Marcus Maxwell, Contino. Identifying the security threats that your systems face is one step towards mitigating potential vulnerabilities ...

This summary article is based on the paper 'SAT2LOD2: A SOFTWARE FOR AUTOMATED LOD-2 BUILDING RECONSTRUCTION FROM SATELLITE-DERIVED ORTHOPHOTO AND DIGITAL SURFACE MODEL' and all credit goes to the ...

The use of Building Information Modelling (BIM) is on the rise but PropTech specialist Virtual Viewing warns that incorrect implementation can increase construction costs, cause delays and even carry ...

ABSTRACT: This research work investigates the use of Artificial Neural Network (ANN) based on models for solving first and second order linear constant coefficient ordinary differential equations with ...