IEEE

Progressive Barrier Tightened Fast Nonlinear Model Predictive Control for High-Performance Path Tracking

Abstract: In this article, we propose a novel, fast, and accurate numerical algorithm for nonlinear model predictive control (NMPC) with application to path-tracking of autonomous vehicles (AVs).
The Lancet

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre ...

aInstitute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China ...
BMJ Open

Extreme heat and cause-specific risk of hospital admission in the adult population in England: a case time series analysis

Objectives This study investigated the impact of heat on the risk of hospital admission due to a range of health conditions in England. Design We used records of over 4 million hospital admissions in ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
GitHub

OpenCode: Everything You Need to Know

A practical guide to OpenCode — from your first prompt to custom agents, skills, plugins, and MCP integrations. Built around clear mental models and real examples, not marketing. Who this is for: ...
IEEE

Nonlinear Model Predictive Control using a Modified Sequential Convex Programming

Abstract: This paper presents a nonlinear model predictive control (NMPC) scheme based on sequential convex programming (SCP). We propose a modified SCP algorithm for nonlinear MPC that adaptively ...