IEEE

Human-in-the-Loop: Visual Analytics for Building Models Recognizing Behavioral Patterns in Time Series

Abstract: Detecting complex behavioral patterns in temporal data, such as moving object trajectories, often relies on precise formal specifications derived from vague domain concepts. However, such ...
InfoWorld

Python vs. Kotlin: Which loops do you like better?

AI and machine learning outside of Python Python might be the best, but it’s not your only choice for AI and machine learning. Here’s what you need to know about using Java, Rust, Go, or C#/.Net for ...
IEEE

Development of urban space pattern prediction models based on nested logit model and weighted Euclidean distance similarity algorithm at traffic analysis zone level

Abstract: Existing researches on predicting urban built-up space patterns mainly focus on large-scale analyses, characterized by coarse classifications and constrained to two-dimensional approaches.