In the end, critical infrastructure’s biggest quantum risk is the outdated, manual trust models of today. Only by replacing ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can reduce fruit yields. However, physically removing weeds is not only ...

An app for segmentation and classification of images of cells from optical microscope. This project uses marker controlled watershed (openCv), and pretrained ResNet-50 model (tensorflow) ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

With the ongoing surge in global coastal development, understanding shoreline dynamics has become a critical issue, given the inherent vulnerability of coastal fringes to significant mobility.

Abstract: In order to overcome the problem of over-segmentation, a novel algorithm of watershed segmentation based on morphological gradient reconstructing is proposed in this paper. In the algorithm, ...

1 College of Mathematics and Computer Science, Dali University, Dali, China 2 School of Electronic Information, Xijing University, Xian, China Introduction: Image instance segmentation is essential ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...