Building an Intelligent System to Distinguish Russian Printed Letters using Artificial Neural Networks

Dec 1, 2011

Journal AL-Rafidain Journal of Computer Sciences and Mathematics

publisher Auricle Global Society of Education and Research

DOI https://doi.org/10.33899/csmj.2011.163655

Issue 2

Volume 8

In this research, an intelligent computer system is designed for recognizing printed Russian letters by extracting features of the letter by finding the Eigen values which then used for training and testing the artificial neural network used in this work namely, Elman NN. This network is used as a tool for decision making. Data is entered using a flatbed scanner which results in high extensity, fineness and homogeneous BMP extension images. The programs are implemented by Matlab language, the software include image enhancement techniques, image segmentation, resize the segmented image and features extraction dependent on Eigen values .These values are then used to train and test the Elman Neural Network. In this work the pass ratio of recognition up to 90 % .

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An Evaluation of Machine Learning and Big Data Analytics Performance in Cloud Computing and Computer Vision

Jun 11, 2023

Journal International Journal on Recent and Innovation Trends in Computing and Communication

publisher Auricle Global Society of Education and Research

DOI https://doi.org/10.17762/ijritcc.v11i6.7144

Issue 6

Volume 11

Although cloud computing is receiving a lot of attention, security remains a significant barrier to its general adoption. Cloud service users frequently worry about data loss, security risks, and availability issues. Because of the accessibility and openness of the huge volume of data amassed by sensors and the web throughout recent years, computer applications have seen a remarkable change from straightforward data processing to machine learning. Two widely used technologies, Big Data and Cloud computing, are the focus of worry in the IT industry. Enormous data sets are put away, handled, and broke down under the possibility of "Big Data." Then again, cloud computing centers around giving the framework to make such systems conceivable in a period and cash saving way. The objective of the review is to survey the Big Data Analytics and Machine learning ideal models for use in cloud computing and computer vision. The programmed data examination of enormous data sets and the production of models for the wide connections between data are the center highlights of machine learning (ML). The usefulness of machine learning-based strategies for identifying threats in a cloud computing environment is surveyed and compared in this research. © 2023 Authors. All rights reserved.

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