Results 101 to 110 of about 34,052 (223)

Variational Bayesian Gaussian mixture model for off‐grid DOA estimation

Electronics Letters
Wireless signals are commonly subject to diverse and complex noise interference. The typical assumption of Gaussian white noise often oversimplifies the noise, resulting in reduced accuracy in estimating the direction of arrival (DOA), especially in ...
Shanwen Guan, Ji Li, Xiaonan Luo
doaj   +1 more source

Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function

International Statistical Review, EarlyView.
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler, Denis Belomestny, Simos George Meintanis, Emanuele Taufer   +3 more
wiley   +1 more source

A study on robot force control based on the GMM/GMR algorithm fusing different compensation strategies

Frontiers in Neurorobotics
To address traditional impedance control methods' difficulty with obtaining stable forces during robot-skin contact, a force control based on the Gaussian mixture model/Gaussian mixture regression (GMM/GMR) algorithm fusing different compensation ...
Meng Xiao, Xuefei Zhang, Tie Zhang, Shouyan Chen, Yanbiao Zou, Wen Wu, Wen Wu   +6 more
doaj   +1 more source

Resource profiles and suicide attempts in youth with disabilities

Journal of Child Psychology and Psychiatry, EarlyView.
Background The issue of suicide among youth with disabilities transitioning into adulthood is a serious public health issue. In navigating this transition, youth with disabilities encounter unique obstacles that require careful consideration and support.
Minhae Cho, C. Hyung Keun Park, Misa Kayama, Sujin Seo, Jungjoon Ihm   +4 more
wiley   +1 more source

A Variational Bayesian Adaptive Kalman Filter for the Random Losses Problem of Sensor Packet

IEEE Access
In this paper, a variational Bayesian adaptive Kalman filter (VBAKF) was used to solve the impact of unknown non-Gaussian measurement noise (NGMN) and sensor measurement loss in Wireless Sensor Networks (WSN) communication. First, the inverse Wishart (IW)
Changzhong Chen, Dahai Shu, Xie Leng, Haijun Long, Han Wu   +4 more
doaj   +1 more source

The Development and Validation of Models of Risk for Behaviours That Challenge in Children With Developmental Disabilities: A Novel Machine Learning Approach

Journal of Intellectual Disability Research, EarlyView.
ABSTRACT Background Children with developmental disabilities show a high prevalence of behaviours that challenge (BtC). Thus, harnessing known risk markers to target early intervention to children at the greatest risk of BtC is essential. In this study, machine learning techniques were used to develop prediction models of risk (no, low and high ...
Laura Groves, Guy Davies, Chris Oliver, Debbie Allen, Charlie Bamford, Louise Bell, Chloe Brown, Vivian Cooper, Louise Daniel, Jo Garstang, Chris Jones, Joseph P. McCleery, Ashley Liew, John Rose, Doug Simkiss, Catherine Steenfeldt‐Kristensen, Alice Welham, Caroline Richards   +17 more
wiley   +1 more source

Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features–Gaussian Mixture Model and Convolutional-UNet

Sensors
The application of intelligent video monitoring for natural resource protection and management has become increasingly common in recent years. To enhance safety monitoring during the grazing prohibition and rest period of grassland, this paper proposes a
Meng Lv, Haoting Liu, Mengmeng Wang, Dongyang Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li   +7 more
doaj   +1 more source

Organized Crime, Corruption, and Economic Growth

Journal of Regional Science, Volume 65, Issue 2, Page 535-560, March 2025.
ABSTRACT In this paper, we study the relationship between organized crime, corruption, and economic growth on a data set from Italian regions for the period 1996–2013. Our working hypothesis is that organized crime can embezzle part of the public expenditure aimed at productive uses by threatening and bribing public officers. To assess the consequences
Tamara Fioroni, Andrea Mario Lavezzi, Giovanni Trovato   +2 more
wiley   +1 more source

A Deep Learning Framework for Peak Ground Velocity Prediction Using Multi‐Station Velocity Waveforms: The Taiwan Transformer Shaking Alert Model (TT‐SAM)

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen, Chung‐Han Chan, Chieh‐Chen Chang, Kuo‐Fong Ma   +3 more
wiley   +1 more source