Abstract: This letter introduces the design of a novel broadband subharmonic mixer operating at 220–330 GHz, which can be applied in the fields of spectrum analysis and wireless communication systems.

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

Earlier, we have used image for gradients effect but now we will use gradient using css3 and we will see how to use many colors in gradient and only one color in gradient. Gradients are declared by ...

Introduction: Artificial vascular scaffolds can mimic the structure of natural blood vessels and replace the damaged vessels by implanting them at the injury site to perform the corresponding ...

The development of industrial chromatography is typically constrained by timelines and available material. For the design of continuous multicolumn processes like multicolumn countercurrent solvent ...

In this blog, we will learn how easy to create rotating and translating images by using css3 keyframes, here we will create spinning wind turbine and a blue sky with clouds floating in the background.

Abstract: The widely linear quaternion-valued least-mean-squares (WLQ-LMS) algorithm in the time domain tends to slow down its convergence when dealing with highly correlated or non-circular input ...

Chethan is a reporter at Android Police, focusing on the weekend news coverage for the site. He has covered tech for over a decade with multiple publications, including the likes of Times Internet, ...

This article illustrates how to build, in less than 5 minutes, a simple linear regression model with gradient descent. The goal is to predict a dependent variable (y) from an independent variable (X).