Abstract: With the rise of wearable sensors and smart devices, human activity recognition (HAR) has become a vital research area in ubiquitous computing. Although many studies report high accuracy ...

Choosing the right cross-validation technique is crucial for building reliable machine learning models. In this video, we explore popular methods like k-fold, stratified k-fold, leave-one-out, and ...

Nicole Fallon-Peek is a freelance journalist who has covered small business, careers and finance for 15 years. She is a small business owner and former managing editor of Business News Daily. Her work ...

When exposing a service interface as @NamedInterface, if this service interface returns or receives as parameters classes that are not in the module's root package, those are not being included as ...

In today's rapidly evolving technological landscape, industries such as life sciences, pharmaceuticals, and medical devices are increasingly challenged to maintain regulatory compliance while driving ...

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Supervised learning allows broad-scale mapping of variables measured at discrete points in space and time, e.g., by combining satellite and in situ data. However, it can fail to make accurate ...

Abstract: Over the past decade, Remote Photoplethysmography (rPPG) has emerged as an unobtrusive alternative to wearable sensors for measuring physiological signals, such as heart rate. Despite ...

Hypothesis validation is fundamental in scientific discovery, decision-making, and information acquisition. Whether in biology, economics, or policymaking, researchers rely on testing hypotheses to ...