Results 31 to 40 of about 99,233 (297)

Classification of RCS sequences based on KL divergence

open access: yesThe Journal of Engineering, 2019
Radar cross section (RCS) is an important characteristic of radar targets. The mean, variance, skewness, kurtosis, varying patterns of RCS sequences provide rich features for radar target classification.
Qiang Cheng, Li Chen, Yaolin Zhang
doaj   +1 more source

An Inequality for Kurtosis

open access: yesThe Annals of Mathematical Statistics, 1948
It is well known that, if the fourth moment about the mean of a frequency distribution equals the square of the variance, then the frequencies are piled up at exactly two points, namely, the two points that are one standard deviation away from the mean.
openaire   +3 more sources

A Note on Kurtosis

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1964
Summary This note “rediscovers” the original interpretation of kurtosis as an indicator of “a prominent peak and a prominent tail” on the density curve. A formal proof that such curves have indeed relatively high fourth moments is given. A comment is made concerning the recent decline of this correct classical interpretation.
openaire   +2 more sources

Application of equivalent non-Gaussian excitation method for systems subjected to non-Gaussian random excitation with asymmetric probability distribution

open access: yesNihon Kikai Gakkai ronbunshu, 2015
This paper presents an application of equivalent non-Gaussian excitation method for the response analysis of systems subjected to non-Gaussian random excitation with an asymmetric probability distribution. The non-Gaussian excitation is prescribed by the
Takahiro TSUCHIDA   +2 more
doaj   +1 more source

Feature Map Activation Analysis for Object Key-Point Detection

open access: yesIEEE Access, 2023
Determining object location information in an image can enable more accurate CNN classification. Several extended CNN models have been developed to include both object location and classification into a unified model, at a cost of increasing compute ...
Allen Rush, Sally Wood
doaj   +1 more source

Microstructure Characterization of Bone Metastases from Prostate Cancer with Diffusion MRI: Preliminary Findings

open access: yesFrontiers in Oncology, 2018
PurposeTo examine the usefulness of rich diffusion protocols with high b-values and varying diffusion time for probing microstructure in bone metastases.
Colleen Bailey   +11 more
doaj   +1 more source

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

open access: yesAdvanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza   +3 more
wiley   +1 more source

The use of the kurtosis metric in the evaluation of occupational hearing loss in workers in China: Implications for hearing risk assessment

open access: yesNoise and Health, 2012
This study examined: (1) the value of using the statistical metric, kurtosis [β(t)], along with an energy metric to determine the hazard to hearing from high level industrial noise environments, and (2) the accuracy of the International Standard ...
Robert I Davis   +9 more
doaj   +1 more source

Mastering the Body and Tail Shape of a Distribution

open access: yesMathematics, 2021
The normal distribution and its perturbation have left an immense mark on the statistical literature. Several generalized forms exist to model different skewness, kurtosis, and body shapes.
Matthias Wagener   +2 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

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