Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...

Abstract: Multivariate cortico-muscular analysis has recently emerged as a promising approach for evaluating the corticospinal neural pathway. However, current multivariate approaches encounter ...

A powerful and intuitive Python library for exploratory data analysis and data profiling. Pydata-visualizer automatically analyzes your dataset, generates interactive visualizations, and provides ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...