Results 101 to 110 of about 48,378 (305)

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

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

Stochastic differential games involving impulse controls [PDF]

ESAIM: Control, Optimisation and Calculus of Variations, 2010
A zero sum stochastic differential game is considered wherein one player controls a controlled diffusion via a continuously applied control, while the other player uses impulse control that discontinuously changes the trajectory at discrete time instants of player's choice.
openaire   +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

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Accounting for animal health in efficiency analysis: An application to Swedish dairy farms

American Journal of Agricultural Economics, EarlyView.
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang, Enoch Owusu‐Sekyere, Karin Alvåsen, Helena Hansson   +3 more
wiley   +1 more source

Challenges and Opportunities in Multi‐Method Integrated Geophysical Prospection of Buried Building Remains at the Sanctuary of Olympia

Archaeological Prospection, EarlyView.
ABSTRACT Ancient Olympia was one of the most important sanctuaries and the venue for the Olympic Games in Greek and Roman times. Its remains are located in the Olympia Terrace (Peloponnese, Greece) at the present‐day confluence of the rivers Alpheios and Kladeos at the base of Mount Kronos.
Sarah Bäumler, Dennis Wilken, Peter Fischer, Lena Slabon, Timo Willershäuser, Birgitta Eder, Hans‐Joachim Gehrke, Erofili‐Iris Kolia, Franziska Lang, Oliver Pilz, Andreas Vött   +10 more
wiley   +1 more source

CD14 Plays a Critical Role in Pain and Inflammation Across Multiple Models of Post‐traumatic Osteoarthritis

Arthritis &Rheumatology, EarlyView.
Objective We employed global genetic deletion of CD14 and intra‐articular CD14 blockade across multiple murine osteoarthritis (OA) models that vary in severity of pathology and rate of progression to test the hypothesis that CD14 inhibition attenuates synovial inflammation and associated pain during disease progression.
Kevin G. Burt, Sanique M. South, Natalie S. Adamczyk, Vu Nguyen, Shingo Ishihara, Cheng Zhou, Kate L. Sharp, Sung Y. Kim, Anna E. Rapp, Baofeng Hu, Lance A. Murphy, Li‐Yin Hung, De'Broski Herbert, Joshua F. Baker, Robert L. Mauck, Timothy M. Griffin, Anne‐Marie Malfait, Rachel E. Miller, Carla R. Scanzello   +18 more
wiley   +1 more source

Backward–forward SDE’s and stochastic differential games

Stochastic Processes and their Applications, 1998
The backward-forward stochastic differential equation of the form \[ X_t=x+\int_0^tf(s,X_s,Y_s,Z_s)+\int_0^t\sigma (s,X_s,Y_s,Z_s)dW_s, \] \[ Y_t=g(X_T)-\int_t^Th(s,X_s,Y_s,Z_s)-\int_t^TZ_sdW_s, \] is considered where \(W\) is a standard Brownian motion on \(\mathbb R^m\), \((X,Y,Z)\) is an adapted process with values in \(\mathbb R^m\times \mathbb R^m
openaire   +1 more source