The squawks of macaws, the smell of wet earth after rain and a swirl of colors will transport visitors from a Los Angeles museum to the heart of the Amazon rainforest—or rather, an AI version of it.

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Abstract: Analyzing the temperature evolution during the construction of mass concrete and establishing accurate prediction models are essential for ensuring structural quality and construction safety ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Forest fires are on the rise globally. An increase in severe fire weather is largely responsible. By Rebecca Dzombak In 2023 and 2024, the hottest years on record, more than 78 million acres of ...

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...