BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
IEEE

Actor–Critic Model Predictive Control: Differentiable Optimization Meets Reinforcement Learning for Agile Flight

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...
VentureBeat

Google releases FunctionGemma: a tiny edge model that can control mobile devices with natural language

While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...
Frontiers

Machine learning–guided feature selection and predictive model construction for attention-deficit/hyperactivity disorder

Background: Attention Deficit/Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental disorder, but its diagnosis remains constrained. This study aimed to identify potential candidate ...
C&EN

Experimental Nonlinear Model Predictive Control of Crystal Size and Yield in Batch Cooling Crystallization Enabled by Soft Sensor and Symbolic-Based Calibration Model

Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...
EurekAlert!

Model-based control of a continuum manipulator with online Jacobian error compensation using Kalman filtering

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
IEEE

Stability Guaranteed Approximation of Model Predictive Control Using Unsupervised Learning

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 ...
Scientific Research Publishing

Gini Coefficient and AUC in Assessing Predictive Model Performance: Effect of Ranks ()

ACA Research Group, Faculty of Business Studies, University of Vaasa, Vaasa, Finland. The content of this paper is divided into four short sections. In the first section, the motivation and content of ...
Frontiers

A machine learning-based predictive model for complication risks in vacuum-assisted breast biopsy

Background: Ultrasound-guided vacuum-assisted breast biopsy (VABB) has become the standard minimally invasive procedure for diagnosing and treating benign breast lesions. Despite its widespread ...
Automation

Addressing the Myths of Model Predictive Control (MPC)

Manufacturers have taken notice, and many more are implementing MPC into their plants and reaping benefits.Can MPC completely displace PID in a control engineer’s toolbox? Of course not. There are ...