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Artificial Intelligence in Industrial Applications

Approaches to Solve the Intrinsic Industrial Optimization Problems

  • Book
  • © 2022

Overview

Editors:
  1. Steven Lawrence Fernandes

    1. Department of Computer Science, Creighton University, Omaha, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Tarun K. Sharma

    1. Shobhit University, Saharanpur, India

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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research on Artificial Intelligence in Industrial Applications
  • Provides workable ideas and innovative solutions
  • Presents practical approaches to solve intrinsic industrial optimization problems

Part of the book series: Learning and Analytics in Intelligent Systems (LAIS, volume 25)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. An Efficient Deep Learning Framework for People Detection in Overhead Images

    • Musa Peker, Bilge Ä°nci, Elnura MusaoÄŸlu, Hüseyin ÇobanoÄŸlu, Nadir Kocakır, Önder Karademir
    Pages 1-20

  3. Machine Learning Techniques for Grocery Sales Forecasting by Analyzing Historical Data

    • Nilufa Yeasmin, Saman Hassanzadeh Amin, Babak Mohamadpour Tosarkani
    Pages 21-36

  4. Medication Revelation Utilizing Neural Network

    • Virendra Singh Kushwah, Ashish Solanki, Bhavya Manoj Votavat, Aman Jain
    Pages 37-49

  5. Application of AI in SCM or Supply Chain 4.0

    • S. P. Singh, J. Rawat, M. Mittal, I. Kumar, C. Bhatt
    Pages 51-66

  6. Upskilling and Curating the Potentials of IoT Enabled Smart Cities: Use Cases and Implementation Strategies

    • R. Sivarethinamohan, S. Sujatha
    Pages 67-78

  7. Identifying Impact of Sanitation and Environmental Safety in Hospitality Sector to Identify the Spread of COVID-19 Using Polynomial Function Simulation

    • Pushan Kumar Datta, Susanta Mitra
    Pages 79-89

  8. The Internet of Things and Advanced Applications in Healthcare

    • Vidhyotma Gandhi, Jaiteg Singh
    Pages 91-110

  9. A Comprehensive Review of Recent Automatic Speech Summarization and Keyword Identification Techniques

    • Tapesh Kumar, Mehul Mahrishi, Gaurav Meena
    Pages 111-126

  10. Anomaly Detection in Industrial IoT Applications Using Deep Learning Approach

    • Chetan Bulla, Mahantesh N. Birje
    Pages 127-147

  11. Nurturing the Rudiments and Use Cases of Ongoing Natural Language Generation for a Future Profitable Business More Profitable

    • R. Sivarethinamohan, S. Sujatha
    Pages 149-160

  12. A Study on Deep Learning Models for Medical Image Segmentation

    • Pashupati Bhatt, Ashok Kumar Sahoo, Saumitra Chattopadhyay, Chandradeep Bhatt
    Pages 161-174

  13. Deep Learning-based Cyber Security Solutions for Smart-City: Application and Review

    • Tushar Bhardwaj, Himanshu Upadhyay, Leonel Lagos
    Pages 175-192
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Keywords

About this book

This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.

Editors and Affiliations

  • Department of Computer Science, Creighton University, Omaha, USA

    Steven Lawrence Fernandes

  • Shobhit University, Saharanpur, India

    Tarun K. Sharma

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