Results 211 to 220 of about 94,518 (293)

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

The Associations Between Neighborhood Safety and Address Stability With HbA1c Levels Among Adults With Diabetes. [PDF]

AACE Endocrinol Diabetes
Johnson DA, Yamoah O, Raghuwanshi Y, Barnett T, Blanchette JE, Hatipoglu B.   +5 more
europepmc   +1 more source

The Definition of an Offense in the New York Penal Statutes [PDF]

, 1957

core   +1 more source

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

Process Evaluation of the Los Angeles County Rapid Diversion Program: A Pretrial Mental Health Diversion Program.

Rand Health Q
Holliday SB, Marsolais E, Matthews S.
europepmc   +1 more source

Building Nondiscriminatory Algorithms in Selected Data. [PDF]

Am Econ Rev Insights
Arnold D, Dobbie W, Hull P.
europepmc   +1 more source

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

Advanced Intelligent Systems, EarlyView.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya, Gianluca Rizzello, Paul Motzki   +2 more
wiley   +1 more source

Maneuverable Multilegged Locomotion through Anisotropically Arranged Soft Backbones in a Single‐Actuator Modular Miniature Robot

Advanced Intelligent Systems, EarlyView.
A modular eight‐legged robot exploits anisotropically oriented soft I‐beam backbones to transmit vibration from a single unbalanced‐mass actuator, producing frequency‐dependent multimodal gaits. A pseudo‐rigid‐body model enables high‐fidelity MuJoCo simulation, while Bayesian parameter identification and reinforcement learning yield robust control ...
Yiğit Yaman, Burak Arslan, Ömer Çağrı Ergin, Daniel M. Aukes, Onur Özcan   +4 more
wiley   +1 more source

Estimation of the prevalence of opioid misuse in New York State counties, 2007-2018: a bayesian spatiotemporal abundance model approach. [PDF]

Am J Epidemiol
Santaella-Tenorio J, Hepler SA, Rivera-Aguirre A, Kline DM, Cerda M.   +4 more
europepmc   +1 more source

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

Advanced Intelligent Systems, EarlyView.
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr, Alexander Haluszczynski, Christoph Räth   +2 more
wiley   +1 more source