Results 91 to 100 of about 62,954 (311)
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
Advanced Intelligent Systems, EarlyView.This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source
ARPILC: An Approach for Short-Term Prediction of Freeway Entrance Flow
IEEE Access, 2019 In modern intelligent transportation systems, short-term prediction of freeway entrance flow plays an important role in providing travelers timely traffic conditions.
Xiang Wang +5 more
doaj +1 more source
Integer‐Valued Autoregressive Models With Survival Probability Driven By A Stochastic Recurrence Equation [PDF]
, 2017 Peter Reinhard Hansen
openalex +1 more source
American Journal of Community Psychology, EarlyView.Abstract Although peer support is central to the social model approach emphasized in sober living houses (SLHs), no longitudinal studies have examined helping among SLH residents. This longitudinal study examined benefits of helping in three contexts among SLH residents. Data were from 205 participants entering 28 SLHs across 2021–2023. Interviews were
Sarah E. Zemore +4 more
wiley +1 more source
Analysis of adequacy of autoregressive model for Lithuanian vowels
Lietuvos Matematikos Rinkinys, 2016 Autoregressive (AR) model is widely used for modeling of speech signals. Nevertheless, the problem of adequate modelling of Lithuanian speech is still open.
Jonas Kaukėnas +1 more
doaj +1 more source
Autism Research, EarlyView.ABSTRACT Parent–child biobehavioral synchrony, or the concordance of behavior and physiological indicators between individuals, is theorized to support children's social development; however, this relationship has yet to be investigated in autistic children.
Carly Moser +5 more
wiley +1 more source
Generative Deep Learning for Advanced Battery Materials
Batteries &Supercaps, EarlyView.This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal +3 more
wiley +1 more source
Improvement Feature Vector: Autoregressive Model of Median Filter Residual
IEEE Access, 2019 To detect median filtering forensics, a four-feature ensemble including the median filter residual autoregressive (MFR AR) model, statistical properties, gradient-edge line, and HU invariant moments of an image were used to propose an improved feature ...
Kang Hyeon Rhee
doaj +1 more source
Monetary Policy and Housing Sector Dynamics in a Large-Scale Bayesian Vector Autoregressive Model [PDF]
, 2009 Rangan Gupta +3 more
openalex +1 more source
On a Mixture Autoregressive Model
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2000 Summary We generalize the Gaussian mixture transition distribution (GMTD) model introduced by Le and co-workers to the mixture autoregressive (MAR) model for the modelling of non-linear time series. The models consist of a mixture of K stationary or non-stationary AR components. The advantages of the MAR model over the GMTD model include
Wong, CS, Li, WK
openaire +2 more sources