Results 91 to 100 of about 325,728 (267)
Modeling COVID-19 Dynamics in Illinois under Nonpharmaceutical Interventions
Physical Review X, 2020 We present modeling of the COVID-19 epidemic in Illinois, USA, capturing the implementation of a stay-at-home order and scenarios for its eventual release.
George N. Wong +5 more
doaj +1 more source
A Langevin equation for the energy cascade in fully-developed turbulence
, 1998 Experimental data from a turbulent jet flow is analysed in terms of an additive, continuous stochastic process where the usual time variable is replaced by the scale.
Marcq, Philippe, Naert, Antoine
core +4 more sources
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Investigation of the relationship between macro-economic variables and tax evasion using nonlinear approaches [PDF]
اقتصاد باثباتThe main purpose of present study is to investigate the relationship between macroeconomic variables and tax evasion using nonlinear approaches. . First of all, it was used Markov Switching Vector Autoregression method, statistics and information from ...
masoumeh motallebi, Mohammad Alizadeh
doaj +1 more source
Spatial land-use inventory, modeling, and projection/Denver metropolitan area, with inputs from existing maps, airphotos, and LANDSAT imagery [PDF]
A landscape model was constructed with 34 land-use, physiographic, socioeconomic, and transportation maps. A simple Markov land-use trend model was constructed from observed rates of change and nonchange from photointerpreted 1963 and 1970 airphotos ...
Christenson, J. W. +2 more
core +1 more source
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 +2 more
wiley +1 more source
Pattern mining and prediction techniques for user behavioral trajectories in e-commerce.
PLoS ONEThe trajectory of a user's continuous online access, which manifests as a sequence of dynamic behaviours during online purchases, constitutes fundamental behavioural data.
Xin Wang, Dong-Feng Liu
doaj +1 more source
The (r,q) policy for the lost-sales inventory system when more than one order may be outstanding [PDF]
We study the continuous-review (r; q) system in which un_lled demands are treated as lost sales. The reorder point r is allowed to be equal to or larger than the order quantity q.
Johansen, Søren Glud +1 more
core
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
Epidemiology, Biostatistics and Public Health, 2013 Background: the knowledge of sojourn time (the duration of the preclinical screen-detectable period) and screening test sensitivity is crucial for understanding the disease progression and the effectiveness of screening programmes.
Leonardo Ventura +5 more
doaj +1 more source