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"Hybrid Computational Intelligence" was published by Taylor & Francis Group in 2019 - Boca Raton London New York, it has 220 pages and the language of the book is English.


“Hybrid Computational Intelligence” Metadata:

  • Title: ➤  Hybrid Computational Intelligence
  • Authors:
  • Language: English
  • Number of Pages: 220
  • Publisher: Taylor & Francis Group
  • Publish Date:
  • Publish Location: Boca Raton London New York

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"Hybrid Computational Intelligence" Description:

Open Data:

1 Nature-Inspired Algorithms: A Comprehensive Review 1 Essam H. Houssein, Mina Younan, and Aboul Ella Hassanien 2 Hybrid Cartesian Genetic Programming Algorithms: A Review 27 Johnathan Melo Neto, Heder S. Bernardino, and Helio J.C. Barbosa 3 Tuberculosis Detection from Conventional Sputum Smear Microscopic Images Using Machine Learning Techniques 63 Rani Oomman Panicker, Biju Soman, and M.K. Sabu 4 Privacy towards GIS Based Intelligent Tourism Recommender System in Big Data Analytics 81 Abhaya Kumar Sahoo, Chittaranjan Pradhan, and Siddhartha Bhattacharyya 5 Application of Artificial Neural Network: A Case Study of Biomedical Alloy 101 Amit Aherwar and Amar Patnaik 6 Laws Energy Measure Based on Local Patterns for Texture Classification 131 Sonali Dash and Manas R. Senapati 7 Analysis of BSE Sensex Using Statistical and Computational Tools 153 Soumya Chatterjee and Indranil Mukherjee 8 Automatic Sheep Age Estimation Based on Active Contours without Edges 177 Aya Abdelhady, Aboul Ella Hassanien, and Aly Fahmy 9 Diversity Matrix Based Performance Improvement for Ensemble Learning Approach 195 Rajdeep Chatterjee, Siddhartha Chatterjee, Ankita Datta, and Debarshi Kumar Sanyal

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