Machine Learning Algorithms for Industrial Applications. (2020)

• Record Type: Book
• Further Information: Note: Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien.
• Editors: Das, Santosh Kumar; Das, Shom Prasad; Dey, Nilanjan; Hassanien, Aboul Ella
• Contents: ​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.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2021
• Extent: 1 online resource (315 pages)
• Subjects: Engineering; Computational intelligence; Artificial intelligence; Computers -- Intelligence (AI) & Semantics; Artificial intelligence; Technology & Engineering -- Engineering (General)
• Languages: English
• ISBNs: 9783030506414
• Related ISBNs: 9783030506407
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.