Abstract: We propose to use a compressed sensing recovery method called IMATCS for improving the resolution in microwave imaging applications. The electromagnetic inverse scattering problem is solved ...

An animal’s survival hinges on its ability to integrate past information to modify future behavior. The nematode Caenorhabditis elegans adapts its behavior based on prior experiences with pathogen ...

Simulation code for V. Kumar, M. Chafii, A. L. Swindlehurst, L. -N. Tran and M. F. Flanagan, "SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated ...

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 ...

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 ...

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 ...

When you install Python packages into a given instance of Python, the default behavior is for the package’s files to be copied into the target installation. But sometimes you don’t want to copy the ...