Atrial fibrillation (AF) is a common type of arrhythmia with high incidence and risk, it difficult to monitor. Deep learning-based algorithms for AF detection have made preliminary progress, Recurrent Convolution Neural Networks (RCNN) being widely used detection. The RCNN algorithm combines ECG morphology rhythm information, where Network (CNN) mainly processes morphological features (RNN) dea...

Robots with autonomous capabilities depend on vision to detect and interact objects their environment. In the field of robotic research, one focus areas is robosoccer platform that being used implement test new ideas findings computer decision making. this article, an efficient real-time object detection algorithm employed in a simulation environment by deploying convolution neural network Kalm...

In this paper we describe an algorithm for eecient circuit-level simulation of transmission lines which can be speciied by tables of frequency-dependent scattering parameters. The approach uses a forced stable section-by-section`2 minimization approach to construct a high order rational function approximation to the frequency domain data, and then applies guaranteed stable balanced realization ...

In this paper, we "rst introduce a recursive procedure for e$ciently computing cubic facet parameters for edge detection. The procedure allows to compute facet parameters in a "xed number of operations independent of kernel size. We then introduce an image independent quantitative criterion for analytically evaluating di!erent edge detectors (both gradient and zero-crossing based methods) witho...

In this paper, we "rst introduce a recursive procedure for e$ciently computing cubic facet parameters for edge detection. The procedure allows to compute facet parameters in a "xed number of operations independent of kernel size. We then introduce an image independent quantitative criterion for analytically evaluating di!erent edge detectors (both gradient and zero-crossing based methods) witho...

Modern techniques treat color images as separate monochrome images for processing. Partly, because there is no straightforward generalization of linear filters available for color. However the algorithms yield more accurate results when the correlation among color bands are exploited which shows fundamental difference to process the color images. Earlier work[8] reported the transformation of t...