Abstract: For any linear and time-invariant system, its output is the linear convolution between the variable input sequence and the constant system impulse response. When the input is long and the ...

Retired, Institute of Professional Geologists, San Antonio, USA. From the late 1960s through approximately 1991, the Nebraska Department of Environment and Energy (NDEE) and its predecessors, the ...

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

This paper introduces the Julia programming language as a dynamic, cost-effective, and efficient framework for implementing structural analysis packages. To achieve this, the finite element method was ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

The importance of using reward-based methods to train dogs is widely known, yet some people still use aversive methods. By definition, both reward-based and aversive methods work to change behavior, ...

School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China Advanced Sensor Research Institution, Northeast Electric Power University, Jilin 132012, China School of ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...

In this manuscript, the authors describe a new AlphaFold2 pipeline called PabFold that can represent a useful tool for identifying linear antibody epitopes (B-cell epitopes) for different antigens.