Titlebook: Hybrid Intelligent Systems; 19th International C Ajith Abraham,Shishir K. Shandilya,Maria Leonilde Conference proceedings 2021 The Editor(

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Contribution on Arabic Handwriting Recognition Using Deep Neural Network,ng and the similarities between different characters shapes. In this paper, we investigate the problem of handwritten Arabic recognition. We propose a new architecture combining CNN and BLSTM based on character model approach with CTC decoder. The handwriting Arabic database KHATT is used for experi

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Analyzing and Enhancing Processing Speed of K-Medoid Algorithm Using Efficient Large Scale Processioutliers, but it itself has drawbacks such as number of medoids should be given in advance which is hard to determine and the initial k-clustering centers need to be chosen at random..This article focuses on new modified k-medoid++ algorithm, which is a proposed algorithm for increasing the processi

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,Multiple Criteria Fake Reviews Detection Based on Spammers’ Indicators Within the Belief Function Tinfluence consumer purchase decisions. Therefore, in order to mislead and artificially manipulate costumers’ perceptions about products or services, some dealers rely on spammers who post fake reviews to exaggerate the advantages of their products and defame rival’s reputation. Hence, fake reviews d

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Data Clustering Using Environmental Adaptation Method, the most important techniques of data mining is data clustering that is responsible for grouping the data into meaningful groups (clusters). Environmental Adaptation Method (EAM) is an optimization algorithm that has already proved its efficacy in solving global optimization problems. In this paper

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A Novel CAD System for Breast DCE-MRI Based on Textural Analysis Using Several Machine Learning Metbreast lesions using textural features in Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI). The proposed system consists of four principal phases: Region Of Interest (ROI) segmentation, feature extraction, fusion and selection and finally Classification. We have extracted a complementa

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An Adversarial Learning Mechanism for Dealing with the Class-Imbalance Problem in Land-Cover Classin imbalance in the class-wise samples in the training set under a novel semi-supervised learning framework. This problem is persistent when the presence of some of the major land-cover classes affects the other recessive classes in a particular region and due to this the generated training set conta

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Veera Babu Ramakurthi,Vijayakumar Manupati,Suraj Panigrahi,M. L. R. Varela,Goran Putnik,P. S. C. Bos klarem, leserfreundlichen Bild-zu-Text Layout alle Befunde der Region systematisch und umfassend beschrieben. Durch die stichpunktartige Textdarstellung eignet sich das Werk besonders als Referenz zum täglichen Nachschlagen aber auch zum Lernen. .Im Mittelpunkt stehen die praktischen Bedürfnisse de

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