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{ "item_title" : "Inventive Communication and Computational Technologies", "item_author" : [" G. Ranganathan", "Joy Chen", "Álvaro Rocha "], "item_description" : "Mathematical Modeling of the Data Processing Problems of Heat Experiments based on Multi- Processor Computing Complexes.- Analysis of Image Processing Techniques to Segment the Target Animal in Non-Uniformly Illuminated and Occluded Images.- Enhanced Speeded Up Robust Feature with Bag of Grapheme (Esurf-Bog) for Tamil Palm Leaf Character Recognition.- Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network.- Agro Advisory System Using Big Data Analytics.- Automatic Face Recognition and Finding Occurrence of Actors in Movies.- Recurrent Neural Network based Character Recognition System for Tamil Palm Leaf Manuscript Using Stroke Zoning.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/81/157/344/9811573441_b.jpg", "price_data" : { "retail_price" : "299.99", "online_price" : "299.99", "our_price" : "299.99", "club_price" : "299.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Inventive Communication and Computational Technologies|G. Ranganathan

Inventive Communication and Computational Technologies : Proceedings of Icicct 2020

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Overview

Mathematical Modeling of the Data Processing Problems of Heat Experiments based on Multi- Processor Computing Complexes.- Analysis of Image Processing Techniques to Segment the Target Animal in Non-Uniformly Illuminated and Occluded Images.- Enhanced Speeded Up Robust Feature with Bag of Grapheme (Esurf-Bog) for Tamil Palm Leaf Character Recognition.- Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network.- Agro Advisory System Using Big Data Analytics.- Automatic Face Recognition and Finding Occurrence of Actors in Movies.- Recurrent Neural Network based Character Recognition System for Tamil Palm Leaf Manuscript Using Stroke Zoning.

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Details

  • ISBN-13: 9789811573446
  • ISBN-10: 9811573441
  • Publisher: Springer
  • Publish Date: September 2020
  • Dimensions: 9.21 x 6.14 x 2.03 inches
  • Shipping Weight: 3.13 pounds
  • Page Count: 1000

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