This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.
Abstract: This article presents an improved reduced-sensor-based optimal switching sequence model predictive current control (OSS-MPCC) algorithm for a grid-tied inverter with the LCL filter with only ...
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 ...
Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...
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.
ABSTRACT: Objective: To develop and validate a machine learning-based risk prediction model for postoperative nausea and vomiting (PONV) following gynecological day hysteroscopy, providing ...
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This study introduces an Adaptive Model Predictive Control (AMPC) framework for intelligent trajectory planning in autonomous vehicles navigating complex and dynamic highway environments. The proposed ...
The Rate-Predictive Control (RPC) algorithm earned a United States patent in 2016 and is an inherently adaptive (or “naturally self-tuning”) process control algorithm. June 6, 2017: A research project ...
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