Machine learning algorithms for industrial applications [electronic resource] / Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien, editors.

Part 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
Part 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
Part 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
Part 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.