From Brain Waves to Intelligent Insights: How Artificial Intelligence Is Transforming Neural Signal Analysis

Brain activity is commonly studied across frequency ranges such as delta, theta, alpha, beta, and gamma. These signals are complex, noisy, and non-stationary, and they can be affected by eye movements ...
ascopubs.org

Python-based preprocessing for applying machine learning in breast cancer metastasis prediction.

To determine correlation of inter reader variability in sum of diameters using RECIST 1.1 with end point assessment in lung cancer. A systematic evaluation of models predicting short-term mortality ...
Nature

Dataset Preprocessing and Optimization for Machine Learning-Based Building Load Prediction: A Review

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...
InfoQ

Training Data Preprocessing for Text-to-Video Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Brian Martin discusses the real-world ...
techtarget

What is automated machine learning (AutoML)?

Automated machine learning (AutoML) is the automated process that applies machine learning models to real-world problems. AutoML automates the selection, composition and tuning of algorithms. It ...