Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...
Abstract: This work presents an unsupervised learning-based approach to approximate the controller of the Lyapunov-based Model Predictive Control (MPC) for a class of continuous-time nonlinear systems ...
OpenAI is finally rolling out a toggle that allows you to decide how hard the GPT-5-thinking model can think. This feature is rolling out to Plus and Pro subscribers. OpenAI has been testing the ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
1 Infection Management Department, Nantong First People's Hospital, Nantong, China 2 Department of Cardiovascular Surgery, Nantong First People's Hospital, Nantong, China Objective: This study aimed ...
ABSTRACT: Objective: To develop and validate a machine learning-based risk prediction model for postoperative nausea and vomiting (PONV) following gynecological day hysteroscopy, providing ...
Objective: Due to the high global prevalence of silicosis and the ongoing challenges in its diagnosis, this pilot study aims to screen biomarkers from routine blood parameters and develop a ...
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