Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: In this paper, a new class of orthogonal circulant matrices built from deterministic sequences is proposed for convolution-based compressed sensing (CS). In contrast to random convolution, ...

Players like Pavel Zacha have had to alter their workout routines for the NHL's compressed schedule this season. Rich Gagnon / Getty Images and iStock In a normal season, Sean Kuraly would not have ...

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This repository documents my complete learning journey through the Coursera course Remote Sensing Image Acquisition, Analysis, and Applications. It is part of my broader PhD preparation plan in ...

UD's Applied Sensing Laboratory is a center for applied remote sensing research, with a particular focus on the research and development of signal and image processing, computer vision, and pattern ...

Six studies (67%) showed that mobile sensing data could predict depressive episodes or symptom severity. Four studies reported the predictive accuracy for depression using mobile sensing data from ...

Small-molecule biosensors are critical tools for monitoring environments, controlling cellular behavior, and enabling new biotechnologies; yet, they remain challenging to design. The plant hormone ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...