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Titlebook: ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of In; Hosted by CSI Vishak Suresh Chandra S

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Conference proceedings 2014ucture”. The convention was held during 13th –15th December 2013 at Hotel Novotel Varun Beach, Visakhapatnam and hosted by Computer Society of India, Vishakhapatnam Chapter in association with Vishakhapatnam Steel Plant, the flagship company of RINL, India. This volume contains papers mainly focused
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A Fused Feature Extraction Approach to OCR: MLP vs. RBF,y character image. The fused features thus obtained are used to train both the classifiers i.e. MLP and RBF Neural Networks. Simulation studies are examined extensively and the proposed fused features are found to deliver better recognition accuracy when used with RBF Network as a classifier.
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An Automatic Process to Convert Documents into Abstracts by Using Natural Language Processing Techn constitutes the methods. That’s why in this paper we focussed on developing Abstracts, that is Summarization method based on Natural Language Processing Techniques. At the same time it is also useful to multi-documents summarization. We explore some of the metrics and evaluation strategies, features in document abstracts or summarization.
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Software Effort Estimation Using Data Mining Techniques, and Basili Bailey. (3). Logistic Regression is suitable for Nasa93_1, Cocomo81 and Cocomo81e. It is concluded that data mining techniques tend to help estimating in the best way possible as they are objective and are applicable to unlimited sets of data.
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Hybrid Non-dominated Sorting Simulated Annealing Algorithm for Flexible Job Shop Scheduling Problemf the proposed algorithm is tested with flexible benchmark instances. The experimental results prove its performance by providing non-dominated solutions for both small and relatively larger cases in minimum computational time.
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DICOM Image Retrieval Using Geometric Moments and Fuzzy Connectedness Image Segmentation Algorithm,l results with less computational complexity. This paper compares the proposed technique for DICOM medical image retrieval and shows that the proposed geometric moments and fuzzy connectedness image segmentation algorithm based image retrieval algorithm performs better as compared to other algorithms.
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