Machine Learning Technologies and Applications Proceedings of ICACECS 2020 /
| 団体著者: | |
|---|---|
| その他の著者: | , , | 
| 要約: | XXV, 336 p. 186 illus., 151 illus. in color. text | 
| 言語: | 英語 | 
| 出版事項: | Singapore :
          Springer Nature Singapore : Imprint: Springer,
    
        2021. | 
| 版: | 1st ed. 2021. | 
| シリーズ: | Algorithms for Intelligent Systems, | 
| 主題: | |
| オンライン・アクセス: | https://doi.org/10.1007/978-981-33-4046-6 | 
| フォーマット: | 電子媒体 図書 | 
                目次: 
            
                  - 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.