Results 61 to 70 of about 7,263 (222)

An Electromyographic‐Based Control Using Gaussian Mixture Model on an Upper‐Limb Cable‐Driven Rehabilitation Robot

Advanced Intelligent Systems
Electromyographic (EMG)‐based admittance control by arm force can provide continuous motion control in robot‐assisted rehabilitation. Natural and complex physical human–robot interactions utilizing intelligent EMG‐based interfaces require a computational
Jianlin Zheng, Zhijun Li, Ting Xu, Rong Song   +3 more
doaj   +1 more source

Automated FRET Analysis for Enhanced Characterization of Protein–Protein Interactions

Microscopy Research and Technique, EarlyView.
A visual summary of the SONLab FRET Tool, displaying the entire workflow—from imaging to the plotting of quantified data. The results provided in this article were obtained using this automated pipeline. ABSTRACT Förster Resonance Energy Transfer (FRET) analysis is a powerful technique for studying protein–protein interactions; however, manual methods ...
Ahmet Zübeyir Nursoy, Orkun Cevheroğlu, Çağdaş Devrim Son   +2 more
wiley   +1 more source

Bias Correction of ERA5 Temperature Across Five Topoclimatic Clusters: A Comparative Evaluation of Four Methods

International Journal of Climatology, EarlyView.
ERA5 near‐surface temperature over South America exhibits systematic cold biases in daily maximum temperature and warm biases in daily minimum temperature. To address the continent's strong climatic and topographic heterogeneity, South America was partitioned into five topoclimatic clusters, and four bias‐correction approaches were evaluated. The Multi‐
José Roberto Rozante, Gabriela Rozante
wiley   +1 more source

Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm

IEEE Access
The Gaussian Mixture Model (GMM) is widely used in anomaly detection due to its flexibility in handling complex data distributions and its soft classification mechanism.
Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu   +7 more
doaj   +1 more source

A Novel Monitoring Strategy Combining the Advantages of NPE and GMM

IEEE Access, 2020
Semiconductor manufacturing process data usually have multimodel and multiphase characteristics which do not meet the application assumptions in neighborhood preserving embedding (NPE).
Cheng Zhang, Xunian Dai, Xiaofang Zheng, Yuan Li   +3 more
doaj   +1 more source

Underwater Image Segmentation with the GMM (Gaussian Mixture Model) Algorithm

JSAI (Journal Scientific and Applied Informatics)
The purpose of this study was to measure the performance of Gaussian Mixture Model (GMM) technique for underwater image segmentation of seagrass objects based on datasets from autonomous surface vehicles (ASV from the Faculty of Fisheries and Marine Sciences, Bogor Agricultural University.
openaire   +1 more source

Electroencephalography‐Based Clustering Reveals Robust Neurophysiological Subtypes in Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Parkinson's disease (PD) is clinically heterogeneous, with substantial variability in motor and cognitive features. Conventional clinical scales provide limited insight into underlying neural mechanisms and show poor longitudinal stability.
Daniel Vered, Zoya Katzir, Idan Daniel Grosbard, Avner Thaler, Inbal Maidan   +4 more
wiley   +1 more source

Malarial Parasite Detection Using Gaussian Mixture Model(Gmm)

, 2017
Malaria is a deadly disease and the recent survey by the World Health Organization (WHO) has estimated that malaria causes over 200 million cases of fever annually. The malaria is mostly diagnosed by examining properly stained peripheral blood smear because the protozoal infection parasite invades red blood corpuscles (RBC) of the cardiovascular system.
openaire   +2 more sources

Compression of High-Component Gaussian Mixture Model (GMM) Based on Multi-Scale Mixture Compression Model

Electronics
This study addresses the redundancy problem caused by an excessive number of components in Gaussian mixture models (GMMs) in practical applications, as well as the derivative issues such as overfitting and exponential growth of computational complexity, and proposes a component reduction method based on the GMM multi-scale mixture compression model ...
Linwei Zhang, Jin Zhang, Mingye Tan, Shi Liang   +3 more
openaire   +1 more source

Do Economic and Financial Determinants Drive Sustainable Development? Evidence From Nordic Countries

Sustainable Development, EarlyView.
ABSTRACT This study explores the relationships among productivity, financial development, financial globalization, economic freedom, and CO2 emissions in the Nordic countries Denmark, Finland, Iceland, Norway, and Sweden over the period 2000–2022. The primary aim of the study is to assess how economic and financial indicators influence environmental ...
Nazli Demirtaş, Azad Erdem, Erick Okoth, Selçuk Balı   +3 more
wiley   +1 more source