Titlebook: Computational Vision and Bio-Inspired Computing; ICCVBIC 2019 S. Smys,João Manuel R. S. Tavares,Abdullah M. Iliy Conference proceedings 202

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2194-5357 g and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various978-3-030-37217-0978-3-030-37218-7Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Analysis of Feature Extraction Algorithm Using Two Dimensional Discrete Wavelet Transforms in Mammohe detection of microcalcifications has been done with various algorithms discussed below. The analysis of the FE algorithm using two-dimensional discrete wavelet transform in mammogram to detect macrocalcification technique has been analyzed using MATLAB.

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Fruit Classification Using Traditional Machine Learning and Deep Learning Approach,height and width were extracted from its image. Traditional machine learning algorithms KNN and SVM were applied over the extracted features. The result shows that using Convolutional Neural Network (CNN) gives a promising result than traditional machine learning algorithms.

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Contextual Multi-scale Region Convolutional 3D Network for Anomalous Activity Detection in Videos,tly, the entire system model at all levels can be trained endwise. The activities detected are classified as the normal and the abnormal using the activity class. In the project CMSRC3D, each scale model uses convolutional feature maps of specific temporal resolution to represent activities within s

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Noise Removal in Breast Cancer Using Hybrid De-noising Filter for Mammogram Images,mportant function in image feature selection, segmentation, classification, and investigation. According to the experimental results the Hybrid Denoising Filter algorithm mainly focuses on discarding irrelevant noise and focuses on the execution time using MATLAB R2013a Tool. The proposed Hybrid Den

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