IEEE

Modelling Link-Level Shared Micromobility Demand: Regression and Neural Network Approaches

Abstract: Shared micromobility is a relatively new transportation mode that has the potential to replace short-distance motor vehicle trips. To encourage shared micromobility ridership, transportation ...
Analytics Insight

Explore Data Science This Weekend: Best YouTube Channels to Follow

Overview: Free YouTube channels provide structured playlists covering AI, ML, and analytics fundamentals.Practical coding ...
The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
Dot Physics on MSN

Python physics lesson 5: Analyzing projectile motion with drag forces

Welcome to Python Physics Lesson 5, where we explore projectile motion with drag forces. In this lesson, we go beyond idealized motion to show how air resistance affects trajectories, velocity, and ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
IEEE

Data-Driven Hierarchical Model Predictive Control for Automated Overtaking Maneuver via Gaussian Process Regression

Abstract: The effectiveness of model-driven trajectory generation and control methods for an automated vehicle is closely related to the accuracy of vehicle kinematics and dynamics. However, the ...