ABSTRACT Although carotid duplex sonography provides comprehensive hemodynamic and morphological information, clinical assessments typically rely on limited static features and flow velocity measurements. This study investigated the feasibility of applying machine learning to classify cardiovascular disease (CVD) risk using dynamic arterial time‐series
Belilla Yonas Befirdu +3 more
wiley +1 more source
A computer vision-based framework for objective evaluation of sunken upper eyelid. [PDF]
Weng L +7 more
europepmc +1 more source
PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley +1 more source
Integrating multiple seismic attributes for fault detection using a new hybrid machine learning. [PDF]
Esmaeili H, Bagheri M, Esmaeili S.
europepmc +1 more source
What are the carbon services from cover‐crop adoption worth from farmers' perspective?
Abstract We derive shadow prices of carbon services provided by cover crops relative to non‐cover‐crop agricultural practices, accounting for carbon sequestration and greenhouse gas (GHG) emissions. We model the agricultural technology by integrating crop production, carbon sequestration, and GHG emissions.
Saurav Raj Kunwar +3 more
wiley +1 more source
Geometry-Based Bounds on the Capacity of Peak-Limited and Band-Limited Signals over the Additive White Gaussian Noise Channel at a High SNR. [PDF]
Peleg M, Shamai S.
europepmc +1 more source
Unveiling the factors of aesthetic preferences with explainable AI
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley +1 more source
Adaptive data driven multi period power supply recovery method for distribution networks. [PDF]
Ye X, Yang M, Yang Z, Xiang Q, Li Y.
europepmc +1 more source
On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López +3 more
wiley +1 more source

