Results 171 to 180 of about 55,666 (218)

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

A Semi‐Automated Microfluidic Platform Employing Machine Learning Analysis to Study Adhesion Kinetics in Acute Myeloid Leukemia

open access: yesMicroscopy Research and Technique, EarlyView.
We have developed a semi‐automated shear flow platform using bright‐field optics and a machine‐learning analysis algorithm to dissect tumor‐microenvironment interactions. The algorithm quantifies the extent of adhesion at the single‐cell level and delivers consistent results within minutes instead of hours, facilitating high‐throughput analysis ...
Driti Ashok   +7 more
wiley   +1 more source

Performance of Free‐Running Cardiac and Respiratory Motion‐Resolved Whole‐Heart 5D MRI in Congenital Heart Disease Patients Using a Gadolinium Enhanced Fast‐Interrupted Steady‐State Sequence

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The performance of 5D imaging in CHD has been previously demonstrated using ferumoxytol rather than gadolinium. Purpose To evaluate the performance of gadolinium enhanced 5D MRI relative to 2D and 3D MRI in CHD patients. Study Type Retrospective.
Christopher W. Roy   +13 more
wiley   +1 more source

Autonomous Velocity Encoding (VENC) Selection Improves Precision of Quantitative Flow Measurement

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The optimal velocity encoding limit (VENC) in phase contrast MRI is subject‐specific because it depends on peak flow rate and the presence of flow jets. Currently, VENC is set manually with limited prior knowledge of the peak velocity. Setting the correct VENC might improve measurement precision or shorten scan times.
Pierre Daudé   +9 more
wiley   +1 more source

Human Capital Robotic Integration and Value Creation for Organizations

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT Due to rapid advancements in artificial intelligence and machine learning, the research conversation has drifted from viewing robots as replacements for humans (i.e., the substitute view) to a view that considers the possible benefits of human–robot collaboration in the workplace (i.e., the complementary view).
Chou‐Yu Tsai   +6 more
wiley   +1 more source

High‐Fidelity Synthetic Raman Spectra Generation for Sinter Basicity Prediction Using β$$ \beta $$‐Variational Autoencoders

open access: yesJournal of Raman Spectroscopy, EarlyView.
A β$$ \beta $$‐variational autoencoder with β$$ \beta $$ = 0.1 generates high‐fidelity synthetic Raman spectra of industrial sinter with a 16‐fold improvement in spectral fidelity over SMOTE‐based augmentation (KL divergence: 0.0075 vs. 0.121), enabling reliable basicity prediction (R2 = 0.83) from limited labeled datasets.
Marjorie Ariele Pereira   +4 more
wiley   +1 more source

Synchrotron‐Based Deep Learning Network of the Inner Ear: Development and Expert Validation

open access: yesThe Laryngoscope, EarlyView.
A deep learning network to automatically segment the inner ear from preoperative clinical scans was developed using synchrotron‐radiation phase contrast imaging (SR‐PCI). On an unseen test set, the network significantly outperformed seven expert otologists/radiologists, the mean expert segmentation, and a simultaneous truth and performance level ...
Ashley Micuda   +11 more
wiley   +1 more source

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