Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Abstract: Traffic data contains deep domain-specific knowledge, making labeling challenging, and the lack of labeled data adversely impacts the accuracy of learning-based traffic analysis. The ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

MMHuman3D — dataset preprocessing utilities, evaluation protocols, and loaders that informed our data pipeline. ZOLLY & PDHuman — PDHuman dataset and related preprocessing guidance and ZOLLY as ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Abstract: Vehicle-road collaboration is an effective means of improving perception capacities and enhancing safety of intelligent connected vehicles (ICVs). A larger volume of perception data ...

Diabetes affects over 537 million adults globally, with early detection critical for effective treatment and management. This project develops a machine learning classification model to predict ...