Results 201 to 210 of about 2,029,550 (291)

Advances in 4D Representation: Geometry, Motion, and Interaction

Computer Graphics Forum, EarlyView.
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao, S. Nag, K. Wang, A. Vora, G. Ji, P. Chun, A. Mahdavi‐Amiri, H. Zhang   +7 more
wiley   +1 more source

Hybrid extended Kalman filter with Newton Raphson method for lifetime prediction of lithium-ion batteries. [PDF]

Sci Rep
Fahmy HM, Hasanien HM, Alharbi M, Ji H.
europepmc   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

Model Predictive Path Integral Control of I²RIS Robot Using RBF Identifier and Extended Kalman Filter. [PDF]

Proc Am Control Conf
Esfandiari M, Du P, Wei H, Gehlbach P, Munawar A, Kazanzides P, Iordachita I.   +6 more
europepmc   +1 more source

Risk premia reconsidered: Illiquidity and selection bias for stocks and corporate bonds in the pre‐First World War period

The Economic History Review, EarlyView.
Abstract Financial history is plagued by a visibility trap. Using the Brussels Stock Exchange (1850–1913), we demonstrate that asset illiquidity introduced selection bias, which systematically inflated historical risk premia. Applying a latent return model, we argue that correcting for this illiquidity decreases the equity and corporate bond risk ...
Justin Case, Eline Poelmans, Gertjan Verdickt   +2 more
wiley   +1 more source

An adaptive extended Kalman filter observer-for permanent magnet synchronous motor position sensorless control systems. [PDF]

Sci Rep
Yingjun S, Zhenglong W, Yuanyuan F.
europepmc   +1 more source

Missing Values in Time Series: A Brief Review and a New Versatile Imputation Method

International Statistical Review, EarlyView.
Summary Missing data can significantly hamper standard time series analysis, yet they occur frequently in applications. In this paper, we briefly review some available methods for handling missing values and introduce the temporal Wasserstein imputation, a novel method for imputing missing data in time series.
Shuo‐Chieh Huang, Tengyuan Liang, Ruey S. Tsay   +2 more
wiley   +1 more source

Estimating Bus Mass Using a Hybrid Approach: Integrating Forgetting Factor Recursive Least Squares with the Extended Kalman Filter. [PDF]

Sensors (Basel)
Du J, Wang Q, Yuan X.
europepmc   +1 more source

Band‐Pass Filtering With High‐Dimensional Time Series. A Synthetic Indicator of the Medium‐to‐Long Run Component of Growth

Journal of Time Series Analysis, EarlyView.
ABSTRACT The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the medium‐to‐long‐run component of economic growth of a ...
Alessandro Giovannelli, Marco Lippi, Tommaso Proietti   +2 more
wiley   +1 more source

Calibration Method for Relativistic Navigation System Using Parallel Q-Learning Extended Kalman Filter. [PDF]

Sensors (Basel)
Xiong K, Zhao Q, Yuan L.
europepmc   +1 more source