Acquisition Strengthens 31C’s Deep Packet Intelligence Platform with Revolutionary AI-Native Data Loss Prevention Technology ...

Objectives To adapt and validate a tool to measure the level of food knowledge based on the Nova classification for the Brazilian context. Methods A tool developed by Canadian researchers was adapted ...

Until today, skin, brain, and all tissues of the human body were difficult to observe in detail with an optical microscope, since the contrast in the image was hindered by the high density of their ...

ABSTRACT: This study investigates the effect of vertical scaling on fractal dimension (FD) estimation for failure surfaces in opencast mines to improve surface roughness characterization for slope ...

Black Forest Labs, the AI startup whose models once powered the image generation features of X’s Grok chatbot, on Thursday released a new suite of image-generating models — some of which can both ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...

Abstract: Multiple instance learning (MIL) has become a standard paradigm for the weakly supervised classification of whole slide images (WSIs). However, this paradigm relies on using a large number ...

An Alabama House bill proposes changes to how the AHSAA classifies schools and adds state representatives to its board. The bill aims to exclude English Language Learners from classification counts, ...

The segmentation and classification of breast ultrasound (BUS) images are crucial for the early diagnosis of breast cancer and remain a key focus in BUS image processing. Numerous machine learning and ...

Abstract: Auroral image classification has long been a focus of research in auroral physics. However, current methods for automatic auroral classification typically assume that only one type of aurora ...