Results 141 to 150 of about 2,562,360 (318)
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
Scientific AfricanCircular data arise in numerous scientific fields, necessitating specialized regression models to relate linear predictors to circular responses.
E. Zinhom +3 more
doaj +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
Advanced Intelligent Systems, EarlyView.We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
A General Framework for CFAR Detection in PolSAR Imagery Based on Quadratic Statistics
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn the field of target detection in polarimetric synthetic aperture Radar (PolSAR) imagery, the constant false alarm rate (CFAR) algorithm is renowned for its operability and high interpretability.
Ziyuan Yang +5 more
doaj +1 more source
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Advanced Intelligent Systems, EarlyView.Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
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 +6 more
wiley +1 more source
Nonparametric Testing for Information Asymmetry in the Mortgage Servicing Market
RisksOur objective is to test for evidence of information asymmetry in the mortgage servicing market. Does the sale of mortgage servicing rights (MSR) by the initial lender to a second servicing institution unveil any residual asymmetric information?
Helmi Jedidi, Georges Dionne
doaj +1 more source
Robustness versus efficiency for nonparametric correlation measures [PDF]
, 2008 info:eu-repo/semantics ...
Croux, Christophe, Dehon, Catherine
openaire +1 more source
Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques
Advanced Intelligent Systems, EarlyView.Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali +15 more
wiley +1 more source
Are any growth theories linear? Why we should care about what the evidence tells us [PDF]
Recent research on macroeconomic growth has been focused on resolving several key issues, two of which, specification uncertainty of the growth process and variable uncertainty, have received much attention in the recent literature.
Henderson, Daniel J. +2 more
core +1 more source