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Machine Learning for Real World Applications

This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced. The content addresses topics within the scope of the book from the ground up, providing readers with a trustworthy source of theoretical and technical learning content. The book emphasize...

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Furkejuvvon:
Bibliográfalaš dieđut
Searvvušdahkki: SpringerLink (Online service)
Eará dahkkit: Sharma, Dinesh K. (Doaimmaheaddji), Hota, H. S. (Doaimmaheaddji), Rasheed Rababaah, Aaron (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Preanttus:1st ed. 2024.
Ráidu:Transactions on Computer Systems and Networks,
Fáttát:
Machine learning.
Artificial intelligence.
Machine Learning.
Artificial Intelligence.
Liŋkkat:https://doi.org/10.1007/978-981-97-1900-6
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Sisdoallologahallan:
  • 1. Artificial Intelligence to Meet Sustainability and Strategic Goals: Evidence from India
  • 2. Development of a Sustainable Smart City Measurement Framework: A Study of the City of Bandung, Indonesia
  • 3. Drive Harmony: An AI-based safety assistant driving System
  • 4. Effective Integration of Clustering and Classification or Regression Machine Learning Algorithm
  • 5. Sentiment Analysis of Textual Reviews Using Deep Learning Techniques
  • 6. Machine Learning Based Detection of Parkinson’s Disease Using Voice and Handwriting Analysis
  • 7. Machine Learning Algorithmic model for Pairs Trading
  • 8. BT-CAP: Brain Tumor detection from MRI images using Capsule network with Template-based K-means clustering and Discrete Wavelet Transformation
  • 9. Application of Neural Network based Techniques to Network Intrusion Detection
  • 10. Novel Adaptation Algorithms and Schemes
  • 11. A Hybrid Machine Learning Techniques for Intrusion Detection
  • 12. Forecasting the Covid-19 End in India Using MachineLearning and Population Density Clustering
  • 13. A Machine Learning based Analysis of Internet Addiction among Children and Adolescents during Covid-19 Lockdown
  • 14. Neural Computing for the Pandemic’s Biological Waste Management
  • 15. Deep learning-based Speech recognition systems for Sylheti and Bishnupriya Manipuri languages
  • 16. Classification of Diabetic Retinopathy Using Modified Convolutional Neural Network
  • 17. Building Architectural Styles Classification Using Convolutional Neural Networks Models
  • 18. Synthetic Data Generation for SAR Vehicular Signature Modeling and ATR Deep Learning Training
  • 19. Automatic Target Recognition (ATR) in Multi-object SAR Images based on Simulated Data
  • 20. Fruit detection using pre trained and customized model with Deep Learning approach.

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