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{ "item_title" : "Computational Intelligence in Pattern Recognition", "item_author" : [" Asit Kumar Das", "Janmenjoy Nayak", "Bighnaraj Naik "], "item_description" : "Application of Big Data and Machine Learning for Astrological Predictions.- A Comparative Analysis of Machine Learning Approaches in Personality Prediction Using MBTI.- Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN.- Object Detection and Classification from a Real Time Video using SSD and YOLO Models.- A skin cancer image detection interface tool using VLF support vector machine classification.- Convolutional Neural Networks based Sentence Level Classification of Crime Documents.- An optimum fuzzy EOQ model for deteriorating items with shortages in a particular period.- Bangla Spoken numerals recognition by using HMM.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/162/542/9811625425_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Intelligence in Pattern Recognition|Asit Kumar Das

Computational Intelligence in Pattern Recognition : Proceedings of Cipr 2021

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Overview

Application of Big Data and Machine Learning for Astrological Predictions.- A Comparative Analysis of Machine Learning Approaches in Personality Prediction Using MBTI.- Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN.- Object Detection and Classification from a Real Time Video using SSD and YOLO Models.- A skin cancer image detection interface tool using VLF support vector machine classification.- Convolutional Neural Networks based Sentence Level Classification of Crime Documents.- An optimum fuzzy EOQ model for deteriorating items with shortages in a particular period.- Bangla Spoken numerals recognition by using HMM.

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Details

  • ISBN-13: 9789811625428
  • ISBN-10: 9811625425
  • Publisher: Springer
  • Publish Date: September 2021
  • Dimensions: 9.21 x 6.14 x 1.57 inches
  • Shipping Weight: 2.4 pounds
  • Page Count: 765

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