Results 151 to 160 of about 6,659,086 (346)

Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation. [PDF]

Theor Appl Genet, 2023
Labroo MR, Endelman JB, Gemenet DC, Werner CR, Gaynor RC, Covarrubias-Pazaran GE.   +5 more
europepmc   +1 more source

Particle Filters for Markov Switching Stochastic Volatility Models [PDF]

This paper proposes an auxiliary particle filter algorithm for inference in regime switching stochastic volatility models in which the regime state is governed by a first-order Markov chain.
Boda Kang, Yun Bao, Carl Chiarella
core  

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Estimating Cross-Border Mobility from the Difference in Peak Timing: A Case Study of Poland–Germany Border Regions

Mathematics
Human mobility contributes to the fast spatiotemporal propagation of infectious diseases. During an outbreak, monitoring the infection on either side of an international border is crucial as cross-border migration increases the risk of disease ...
Abhishek Senapati, Adam Mertel, Weronika Schlechte-Welnicz, Justin M. Calabrese   +3 more
doaj   +1 more source

genomicSimulation: fast R functions for stochastic simulation of breeding programs. [PDF]

G3 (Bethesda), 2022
Villiers K, Dinglasan E, Hayes BJ, Voss-Fels KP.   +3 more
europepmc   +1 more source

Simulation-based optimization of agent scheduling in multiskill call centers.

, 2007
We examine and compare simulation-based algorithms for solvingthe agent scheduling problem in a multiskill call center.This problem consists in minimizing the total costs of agents underconstraints on the expected service level per call type,per period ...
Gendreau, M., Athanassios N. Avramidis, Ornella Pisacane, Pisacane, O., L'Ecuyer P, Gendreau, Michel, Avramidis, Athanassios N., Michel Gendreau, L'Ecuyer, Pierre, PISACANE, ORNELLA, Pierre L’Ecuyer, L'Ecuyer, P., Avramidis A. N, Gendreau M, Avramidis, A.N.   +14 more
core  

Echinoderm‐Inspired Autonomy for Soft‐Legged Robots

Advanced Robotics Research, EarlyView.
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker, Jelle de Vries, Johannes T. B. overvelde   +2 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Using stochastic simulation modelling to study occupancy levels of decentralised admission avoidance units in Norway. [PDF]

Health Syst (Basingstoke), 2023
Kakad M, Utley M, Dahl FA.
europepmc   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source