Machine Learning Algorithms for Industrial Applications

✍ Scribed by Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien

• Publisher: Springer International Publishing;Springer
• Year: 2021
• Tongue: English
• Leaves: 321
• Series: Studies in Computational Intelligence 907
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry.
The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.

✦ Table of Contents

Front Matter ....Pages i-xvii
Front Matter ....Pages 1-1
A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text (Imran Rasheed, Haider Banka, Hamaid Mahmood Khan)....Pages 3-18
Automated Document Categorization Model (Rakhi Patra)....Pages 19-36
Automated Categorization and Mining Tweets for Disaster Management (Rakhi Patra)....Pages 37-51
Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction Using WEKA (Praphula Kumar Jain, Rajendra Pamula)....Pages 53-65
Front Matter ....Pages 67-67
Image Inpainting for Irregular Holes Using Extreme Learning Machine (Debanand Kanhar, Raunak Chandak)....Pages 69-81
OCR Using Computer Vision and Machine Learning (Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza)....Pages 83-105
Few Shot Learning for Medical Imaging (Jai Kotia, Adit Kotwal, Rishika Bharti, Ramchandra Mangrulkar)....Pages 107-132
Hyperspectral Remote Sensing Image Classification Using Active Learning (Vimal K. Shrivastava, Monoj K. Pradhan)....Pages 133-152
A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document (Ranjit Kumar Behera, Biswajeet Padhi)....Pages 153-166
GRNN Based an Intelligent Technique for Image Inpainting (Debanand Kanhar, Raunak Chandak)....Pages 167-181
Front Matter ....Pages 183-183
Content-Based Airline Recommendation Prediction Using Machine Learning Techniques (Praphula Kumar Jain, Rajendra Pamula)....Pages 185-194
A Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope (Jayraj Singh, Haider Banka)....Pages 195-207
An Application of Operational Analytics: For Predicting Sales Revenue of Restaurant (Samiran Bera)....Pages 209-235
Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps (Nabanita Dutta, Palanisamy Kaliannan, Umashankar Subramaniam)....Pages 237-263
Front Matter ....Pages 265-265
Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor (Divya Mishra, Abhishek Kumar, Vishwas Mishra, Shobhit Tyagi, Shyam Akashe)....Pages 267-284
Long Term Evolution for Secured Smart Railway Communications Using Internet of Things (Shweta Babu Prasad, P. Madhumathy)....Pages 285-300
Application of Flower Pollination Algorithm to Locate Critical Failure Surface for Slope Stability Analysis (Jayraj Singh, Ravishankar Kumar, Haider Banka)....Pages 301-315

✦ Subjects

Engineering; Computational Intelligence