Results 141 to 150 of about 186,344 (275)

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley   +1 more source

A Dynamic Correlation‐Information‐Fusion‐Based Spatiotemporal Network for Traffic Flow Forecasting

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Traffic Flow Forecasting (TFF) is a foundational task in the development of Intelligent Transport Systems (ITSs). The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal correlations of the road network, unveiling the long‐term evolutionary traffic trends.
Dawen Xia, Zhan Lin, Xingyan Wang, Ruixi Huang, Jinhui Hu, Yang Hu, Huaqing Li   +6 more
wiley   +1 more source

Harmonic mean density fusion in distributed tracking: Performance and comparison

IET Radar, Sonar &Navigation, EarlyView.
In distributed tracking, the harmonic mean density (HMD) fusion can deal with issues, such as non‐independent estimates, inflated covariance and fusion of Gaussian mixtures. This article provides some important results on HMD and shares its resemblance with the state‐of‐the‐art inverse covariance intersection (ICI). Abstract A distributed sensor fusion
Nikhil Sharma, Ratnasingham Tharmarasa, Thiagalingam Kirubarajan   +2 more
wiley   +1 more source

A Mixed Frequency BVAR for the Australian Economy*

Economic Record, EarlyView.
A mixed frequency vector autoregression (MFVAR) model is proposed for nowcasting, forecasting and backcasting Australian macroeconomic indicators at monthly and quarterly frequencies. A novel augmented Minnesota prior for MFVAR models is also introduced.
Kelly Trinh, Jamie L. Cross
wiley   +1 more source

Extending reliability to intensive longitudinal data with the Kalman filter

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is central to how researchers approach measurement in standard, group‐based analyses of single‐time‐point data, yet this critical aspect is often overlooked in the analysis of repeated observations. Since its inception, reliability has been a between‐person concept, but we redevelop this notion for within‐person designs by ...
Michael D. Hunter
wiley   +1 more source

L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts

Computer Graphics Forum, EarlyView.
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel, Y. Wang, A. Wentzel, C. D. Fuller, G. E. Marai, M. E. Papka, G. Canahuate   +6 more
wiley   +1 more source

PFAS from a Discrete‐Event Terrestrial Source Migrates with Groundwater to Intertidal Seepages

Groundwater, EarlyView.
PFAS is conveyed to the coastal intertidal zone from sources across the terrestrial landscape. Discharge of PFAS into the coastal ecosystem is complicated in space and time by the ongoing bi‐directional exchange of terrestrial groundwater and ocean water driven by tidal pumping within discharge areas.
Martin A. Briggs, Eric A. White, Patrick T. Scordato, Hayley G. Lind, Zachary O. O'Neal, David M. Rey, Timothy D. McCobb, Christopher T. Green, Denis R. LeBlanc   +8 more
wiley   +1 more source

GA-SMOTE-RF Enhanced Kalman Filter with Adaptive Noise Reduction. [PDF]

Sensors (Basel)
Wang Y, Zou H, Liu Y, Qiao T, Xu X, Li Y, He C, Zhou S, Wang H, Geng Q, Song Q.   +10 more
europepmc   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

International Statistical Review, EarlyView.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez, D. Diz‐Castro, M. Febrero‐Bande, W. González‐Manteiga   +3 more
wiley   +1 more source

Search model based on Kalman Filter and Monte Carlo simulation. [PDF]

PLoS One
Liu J, Li Y, Liu X.
europepmc   +1 more source