Abstract: Among the various methods used for time series prediction tasks in weather forecasting, Transformer can effectively extract global information and has achieved tremendous success. However, ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Flexxbotics announced further enhancements to the S7 Communications (S7Comm) transformer connector driver within the Flexxbotics open-source project on GitHub.

Abstract: This work introduces an innovative application of established machine learning methods to calculate transformer no-load losses. An accurate estimation of losses is crucial to cost-effective ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

A comprehensive collection of machine learning projects covering classification, regression, clustering, dimensionality reduction, and model optimization techniques. Each project includes complete ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Artificial intelligence research is rapidly evolving beyond pattern recognition and toward systems capable of complex, human-like reasoning. The latest breakthrough in this pursuit comes from the ...