Results 101 to 110 of about 7,207 (210)

The Impact and Reliability of Tissue Segmentation on In Vivo Magnetic Resonance Spectroscopy Metabolite Quantification

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 516-529, August 2026.
ABSTRACT Purpose Quantification of metabolite concentrations using MRS requires tissue‐dependent signal corrections. Accurate estimation of voxel tissue composition is therefore essential. Commonly used brain tissue segmentation tools differ in their algorithms and implementation, potentially introducing variability in MRS‐derived concentration ...
Jessica Archibald, Kay Chioma Igwe, Antonia Kaiser, Karl Landheer, Jaimie Lee, John L. K. Kramer, Aaron T. Gudmundson, Helge J. Zöllner, Georg Oeltzschner, Candace C. Fleischer, Niklaus Zölch, Jamie Near, Mark Mikkelsen   +12 more
wiley   +1 more source

A Measurement Error Model Based on Finite Mixture of the Skew-Normal Distributions for Brain MR Image Segmentation

IEEE Access
The accuracy of medical image segmentation plays a crucial role in assisting with diagnosis. One commonly used method is the Gaussian mixture model (GMM) due to its high accuracy and low complexity.
Kaili Zhang, Xiaoxu Zhu
doaj   +1 more source

Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities

Bipolar Disorders, Volume 28, Issue 5, August 2026.
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher, Jessica Ahrens, Delphine Raucher‐Chéné, Alban Voppel, Lena Palaniyappan   +4 more
wiley   +1 more source

Style‐Constrained Inverse Design of Microstructures With Tailored Mechanical Properties Using Unconditional Diffusion Models

International Journal for Numerical Methods in Engineering, Volume 127, Issue 13, 15 July 2026.
ABSTRACT Deep generative models, particularly denoising diffusion models, have achieved remarkable success in high‐fidelity generation of architected microstructures with desired properties and styles. However, these recent methods typically rely on conditional training mechanisms that require extensive labeled data.
Weipeng Xu, Ziyuan Xie, Haoju Lin, Xinyu Wang, Guangjin Mou, Tianju Xue   +5 more
wiley   +1 more source

Characterization of a two‐phase hybrid flotation column

The Canadian Journal of Chemical Engineering, Volume 104, Issue 7, Page 3758-3774, July 2026.
Abstract This study explored the performance of a novel hybrid flotation column, which combines the advantages of a mechanically agitated cell with a flotation column and compared the results with a conventional flotation column setup. The experiments were performed in an air/water two‐phase system under varying airflow rates, frother concentrations ...
Pedro Silva Aires, Artin Afacan, Qi Liu, Vinay Prasad   +3 more
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1811-1827, 25 July 2026.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

A Self‐Supervised Machine Learning Approach for the Estimation of Open‐Circuit Voltage Degradation in Photovoltaic Systems

Progress in Photovoltaics: Research and Applications, Volume 34, Issue 7, Page 920-941, July 2026.
This study introduces a self‐supervised machine learning approach integrating physics‐based principles to estimate open‐circuit voltage ( voc) degradation in photovoltaic systems using SCADA data. By combining clustering and regression algorithms, our method detects performance deviations without labelled datasets. Results across three PV installations
Sandra Riaño, Jose‐Domingo Santos, Miguel Esteras, Amaia Abanda, Javier Del Ser   +4 more
wiley   +1 more source

Fish Movement Tracking Menggunakan Metode Gaussian Mixture Models (GMM) dan Kalman Filter

J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Indonesia Fish industries is one of the large in the world for market capital which covers for both natural growing and intensive culture. One part of the most challenging problem for intensive culture is related to counting when harvesting which been done by hand all this time.
Alim, Hafizhun, Muhammad, Eka Suryana, Mulyono   +2 more
openaire   +2 more sources

Newborns' Language Discrimination May Not Reflect Sensitivity to Speech Rhythm: Evidence From Computational Modeling

Developmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT Human newborns are able to discriminate between certain languages but not others. This ability has long been attributed to sensitivity to rhythm—the temporal regularities in speech of different languages. Here, we demonstrate through a series of computational simulations that this discrimination behavior can be achieved using no temporal ...
Ruolan Leslie Famularo, Ali Aboelata, Thomas Schatz, Naomi H. Feldman   +3 more
wiley   +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, Volume 70, Issue 7, Page 700-708, July 2026.
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