Results 41 to 50 of about 3,257 (211)
The impact of alignment and scaling on biological inferences from landmark‐free morphometrics
Landmark‐free morphometrics promises advancements in shape quantification for biology, but widespread adoption is hampered by concerns over reproducibility. We compare 3D mesh alignment and scaling protocols on a prominent landmark‐free approach, Deterministic Atlas Analysis, finding inconsistencies in centroid size distribution and variance structure.
Lucy E. Roberts +2 more
wiley +1 more source
AbstractThis review presents goal‐directed latent variable inference (GLean) as a unified active inference framework for embodied intelligence operating in continuous spatiotemporal domains. We address a central challenge in cognitive science: how agents generate, adapt, and understand goal‐directed actions in noisy, high‐dimensional sensorimotor ...
Takazumi Matsumoto +2 more
wiley +1 more source
Abstract A wide selection of linear and non‐linear dimensionality reduction techniques is evaluated on synthetic tsunami data that is the basis for tsunami hazard assessment and computational forecasting. The data were computed from earthquake rupture forecasts (ERFs) supplying initial generation conditions and a linear long‐wave Green's function ...
Eric L. Geist, Tom Parsons
wiley +1 more source
A Novel Feature Extraction Method for Soft Faults in Nonlinear Analog Circuits Based on LMD-GFD and KPCA [PDF]
To obtain feature information of soft faults in non-linear analog circuits in a more effective way, this paper proposed a novel feature extraction method for soft faults in non-linear analog circuits based on Local Mean Decomposition-Generalized Fractal ...
Wei, Yuhan +4 more
core +1 more source
Ultra-wideband (UWB) radar with strong anti-jamming performance and high-range resolution can be used to separate multiple human targets in a complex environment.
Wei Wang, Min Zhang, Dan Wang, Yu Jiang
doaj +1 more source
Corrosion rate prediction model of oil-gas mixed transportation pipelines based on KPCA-IGOA-ELM
The oil-gas mixed transportation pipeline has a high internal corrosion rate. Hence, accurately predicting the internal corrosion rate of mixed transportation pipelines is of great significance to improve the integrity management of pipelines.
LÜ Linlin +5 more
doaj +1 more source
Prognostic Approaches for Early Detection of Thermal Runaway in Lithium‐Ion Batteries
This article reviews methodologies for early detection of thermal runaway in lithium‐ion batteries, focusing on thermal, electrical, mechanical, and gas‐based precursors. It compares detection performance, reliability, lead time, and system‐level integration challenges to guide the development of practical, robust prognostic safety architectures.
Sahithi Maddipatla +3 more
wiley +1 more source
KPCA Denoising and its Application in Machinery Fault Diagnosis
This paper proposes a kernel principal component analysis (KPCA)-based denoising method for removing the noise from vibration signal. Firstly, one-dimensional time series is expanded to multidimensional time series by the phase space reconstruction ...
Zong Qun Deng +2 more
core +1 more source
Wavelet transform‐based AFM enables real‐time nanoscale imaging by applying wavelet analysis to raw cantilever deflection signals. It reveals non‐linear, transient and multi‐frequency dynamics beyond conventional steady‐state methods. Integrated with adaptive filtering and digital twin modelling, it produces high‐resolution, information‐rich maps of ...
Pardis Biglarbeigi +4 more
wiley +1 more source
Application of KPCA-ESN Method in Wi-Fi Based Indoor Positioning
: Aiming at the problem that the positioning accuracy is affected by the dynamic indoor environment and time-varying received signal strength (RSS) values, a Wi-Fi based indoor positioning method using kernel principal component Analysis (KPCA) and ...
Jun, Li, Ying, Chen
core +1 more source

