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Machine Learning Technologies and Applications

Machine Learning Technologies and Applications


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About the Book

Chapter 1. Prediction of Anemia Disease Using Classification Methods.- Chapter 2. Diabetic symptoms prediction through retinopathy.- Chapter 3. Prediction of Cervical Cancer.- Chapter 4. A new 5-layer model approach for Pneumonia Prediction.- Chapter 5. Prediction of Liver Malady using Advanced Classification Algorithms.- Chapter 6. A Fuzzy based Approach for Indian Standard Classification of Soils.- Chapter 7. Blocking Mobile Based Games and Nullifying the Search String Containing Inappropriate Words.- Chapter 8. A methodology to retrieve information from ontologies with the application of D2R Mapping and SPARQL.- Chapter 9. Fuzzy logic controller for accurate diagnostics in X ray film.- Chapter 10. Heart Attack Classification using SVM with LDA and PCA linear transformation techniques.- Chapter 11. Distributed Training of Deep Neural Network for Segmentation-free Telugu Word Recognition.- Chapter 12. Word Sense Disambiguation for Telugu using Lesk.- Chapter 13. Identifying the Duplicate Questions in Community Question Answering Forums using Machine Learning Approaches.- Chapter 14. A Comparison of Classical Machine Learning Approaches for Early Structural Damage Identification.- Chapter 15. Real Estate Sales Forecasting with SVM Classification.


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Product Details
  • ISBN-13: 9789813340480
  • Publisher: Springer Verlag, Singapore
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Proceedings of Icacecs 2020
  • Width: 156 mm
  • ISBN-10: 9813340487
  • Publisher Date: 17 Mar 2022
  • Height: 234 mm
  • No of Pages: 364
  • Spine Width: 19 mm
  • Weight: 562 gr


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Machine Learning Technologies and Applications
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Machine Learning Technologies and Applications
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