A novel malware family named LameHug is using a large language model (LLM) to generate commands to be executed on compromised ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...

Further, the issue of oversized images is also handled during the face detection phase which was causing zero embedding generation before. Further, masked face recognition, on the other hand, aims to ...

Abstract: In this paper, the application of face mask detection for tracking has been explored. This model can be used for data collection and its interpretation. The proposed scheme has been designed ...

Using Depthwise Separable Convolutions with MobileNet data, we provide a method for mask detection-driven face picture classification that is both fast and accurate, as demonstrated in this work.

Face Mask Detection is a Python Project which is used with Attendance System Machine , the Attendance can only be marked if the Software detects you with a mask, otherwise the system will not accept ...