An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...

Abstract: An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely used to solve flow-shop scheduling problems (FSPs), an important branch of production scheduling ...

1 School of Information and Intelligent Engineering, Nantong College of Science and Technology, Nantong, China 2 Faculty of Social, Business and Computer Sciences, Varna Free University, Varna, ...

The YouTube algorithm is often seen as a mysterious black box, determining which videos rise to fame and which languish in obscurity. But according to Todd Beaupré, who manages YouTube's ...

Tensor contradictions are used to solve problems related to different research fields, including model counting, quantum circuits, graph problems, and machine learning. But to minimize the ...

ABSTRACT: We provide a kernel-regularized method to give theory solutions for Neumann boundary value problem on the unit ball. We define the reproducing kernel Hilbert space with the spherical ...