Abstract: This paper proposes a graph linear canonical transform (GLCT) by decomposing the linear canonical parameter matrix into fractional Fourier transform, scale transform, and chirp modulation ...
This study aimed to investigate eighth-grade students' difficulties and misconceptions and their performance of translation between the different representation modes related to the slope of linear ...
Abstract: We consider the scenario in which a set of sources generates messages in a network and a receiver node demands an arbitrary linear function of these messages. We formulate an algebraic test ...
Director of National Intelligence Tulsi Gabbard told Megyn Kelly during an interview this week that there is an ongoing investigation to prove the role U.S.-funded research at the Wuhan Institute of ...
Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
Cryptographic hash functions secure data by providing a unique fixed-length output for each input. These functions are essential in blockchain for data integrity and secure transactions. Understanding ...
Q. Could you explain how the AGGREGATE function works in Excel? A. AGGREGATE is possibly the most versatile function in Excel. Think of it as an advanced version of the SUBTOTAL function that offers ...
Excel spreadsheets can often contain large amounts of data ranging across broad categories. For example, a sales spreadsheet might record sales of products across multiple departments, or within ...
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