Results 111 to 120 of about 1,473,129 (216)

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

Challenges with bearings only tracking for missile guidance systems and how to cope with them. [PDF]

, 2010
This paper addresses the problem of closed loop missile guidance using bearings and target angular extent information. Comparison is performed between particle filtering methods and derivative free methods.
Mihaylova, Lyudmila, Vorley, D., Watson, A.   +2 more
core   +1 more source

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

State Estimation Method for Electric Vehicle Semi-Active Suspensions Considering Time-Varying Parameters and Non-Gaussian Noise

World Electric Vehicle Journal
An Adaptive-Parameter Maximum Correntropy Kalman Filter (APMCKF) algorithm is proposed to address state estimation degradation in semi-active suspensions caused by non-linear coupling between time-varying physical parameters and non-Gaussian noise. First,
Yunxing Liao, Zhaoxue Deng, Chong Peng, Xiaolin Wang, Hongwen Zhang, Shuangshuang Zhao   +5 more
doaj   +1 more source

What Does a Mixed‐Frequency Multivariate Beveridge‐Nelson Decomposition Tell us about the Australian Output Gap?*

Economic Record, EarlyView.
Economic indicators inform the assessment of economic slack for central banks, yet traditional output gap estimates are often limited by the substantial reporting lags of quarterly GDP. This paper extends a mixed‐frequency Bayesian vector autoregressive (MF‐BVAR) framework to the Australian economy by applying a multivariate Beveridge–Nelson (BN ...
Gilliane De Gorostiza‐Roudnitski
wiley   +1 more source

Adaptive Kalman Filter Under Minimum Error Entropy with Fiducial Points for Strap-Down Inertial Navigation System/Ultra-Short Baseline Integrated Navigation Systems

Journal of Marine Science and Engineering
The integration of strap-down inertial navigation systems (SINSs) and ultra-short baseline (USBL) systems has become a mainstream navigation approach for unmanned underwater vehicles (UUVs).
Boyang Wang, Zhenjie Wang
doaj   +1 more source

Therapeutic access points: The roles of circumventricular organs in drug delivery and metabolic regulation

British Journal of Pharmacology, EarlyView.
The current obesity drug landscape, dominated by GLP‐1 receptor agonists and emerging multi‐agonist therapies, has reinforced that long‐term weight loss is achieved in large part through central mechanisms that suppress appetite and reshape energy balance.
Ines Martinez‐Corral, Nicholas Monaco, Daniel I. Brierley, Monica Imbernon   +3 more
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

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

Fuzzy adaptive Kalman filter algorithm for RUAV's integrated navigation system

, 2012
The Kalman filter has characteristics of the noise-sensitive. This paper analyzes the adaptive Kalman filter algorithms which are based on Sage-Husae, neural network and fuzzy logic method.
Wu C(吴冲), Qi JT(齐俊桐), Dai L(戴磊), Han JD(韩建达)   +3 more
core