UID:
almahu_9948674185302882
Umfang:
XXV, 336 p. 186 illus., 151 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9789813340466
Serie:
Algorithms for Intelligent Systems,
Inhalt:
This book comprises the best deliberations with the theme "Machine Learning Technologies and Applications" in the "International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)," organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights into the recent trends and developments in the field of computer science with a special focus on the machine learning and big data. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet of things, distributed computing and smart systems.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9789813340459
Weitere Ausg.:
Printed edition: ISBN 9789813340473
Weitere Ausg.:
Printed edition: ISBN 9789813340480
Sprache:
Englisch
DOI:
10.1007/978-981-33-4046-6
URL:
https://doi.org/10.1007/978-981-33-4046-6
URL:
Volltext
(URL des Erstveröffentlichers)
