To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Traffic classification (TC) is a fundamental task of network management and monitoring operations. Previous works relying on selected packet header fields (e.g. port numbers) or application layer ...

The study introduces a unique approach that combines machine learning algorithms, such as XGBoost and LightGBM, with ICESat-2 satellite data and multispectral imagery from Landsat-8 and Sentinel-2.

XGBoost, a machine learning algorithm known for its scalability and effectiveness, has been widely used for various data science tasks. The introduction of Federated XGBoost in version 1.7.0 allowed ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

On this basis, the production and processing data and process data are added, and the data are processed by the spline interpolation method, and then the xgboost machine learning algorithm is used to ...

In my October 2022 article, “ How to choose a cloud machine learning platform,” my first guideline for choosing a platform was, “Be close to your data.” Keeping the code near the data is ...

Mixing things up: Optimizing fluid mixing with machine learning Researchers from Japan adopt a reinforcement learning-based approach to study the process of fluid mixing during laminar flow Date ...