Machine learning algorithms for industrial applications /

Detalles Bibliográficos
Otros Autores: Das, Santosh Kumar (Editor )
Formato: Libro
Lenguaje:English
Publicado: Cham, Switzerland : Springer, [2021].
Colección:Studies in computational intelligence ; volume 907
Materias:
Aprendizaje automático (Inteligencia artificial)
Inteligencia artificial > Aplicaciones industriales
Tabla de Contenidos:
  • Section I: Natural Language Processing
  • A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text
  • Automated Document Categorization Model
  • Automated Categorization & Mining Tweets for Disaster Management
  • Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction using WEKA
  • Section II: Computer Vision
  • Image Inpainting for Irregular Holes using Extreme Learning Machine
  • OCR using Computer Vision and Machine Learning
  • Few Shot Learning for Medical Imaging
  • Hyperspectral Remote Sensing Image Classification using Active Learning
  • A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document
  • GRNN Based An Intelligent Technique for Image Inpainting
  • Section III: Data Analysis and Prediction
  • Content-Based Airline Recommendation Prediction using Machine Learning Techniques
  • Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope
  • An Application of Operational Analytics: for Predicting Sales Revenue of Restaurant
  • Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps
  • Section IV: Decision Making System
  • Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor
  • Long Term Evolution for Secured Smart Railway Communications using Internet of Things
  • Application of the Flower Pollination Algorithm to Locate Critical Failure Surface for Slope Stability Analysis.

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