Abstract: This paper proposes an extensive tour of the evolution over 5 decades of the Vector Network Analyzers. The stimulus-response essential concept has been pushed to ultra-wideband modulated ...
Abstract: This article studies remote sensing image retrieval using kernel-based support vector data description (SVDD). We exploit deep SVDD, which is a well-known method for one-class classification ...
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
Learn how to understand and compute line integrals in vector fields using both Python and traditional paper methods! This video walks you step by step through the concepts of line integrals, ...
Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
On the morning of his arrest, Grigor Sargsyan was still fixing matches. Four cellphones buzzed on his nightstand with calls and messages from around the world. Sargsyan was sprawled on a bed in his ...
If Excel is where you track projects, plan budgets, manage clients, or run your side hustle, you already know it’s a powerhouse. But turning rows and columns into real answers—spotting trends, ...
cuVS contains state-of-the-art implementations of several algorithms for running approximate nearest neighbors and clustering on the GPU. It can be used directly or through the various databases and ...