Anomaly Specimen drops from the Hazardous Transport Drone on Night Marsh in Marathon and is tied to Traxus and MIDA contracts ...

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The method, known as FROST – short for "fingerprinting remotely using OPFS-based SSD timing" – focuses on how different processes compete for storage access. That competition ...

Abstract: Recently, Moore-Penrose inverse (MPI)-based parameter fine-tuning of fully connected (FC) layers in pretrained deep convolutional neural networks (DCNNs) has emerged within the inductive ...

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Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Abstract: The attenuation of seismic field noise using self-supervised deep learning (DL) has gained attention due to its label-free training process. However, common self-supervised methods are ...

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

ABSTRACT: Special education services are designed to provide tailored support for students with diverse learning needs, with the expectation of improving academic achievement. This study examines the ...

We investigate how current noisy quantum computers can be leveraged for generating secure random numbers certified by Quantum Mechanics. While random numbers can be generated and certified in a device ...

Passkeys offer a way of confirming you are who you say you are without remembering a long, complicated password, and in a manner that's resistant to common attacks on passwords like phishing and ...