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International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020)

Emerging Applications and Technologies for Industry 4.0

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Jemal H. Abawajy

    1. Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Australia

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    You can also search for this editor in PubMed   Google Scholar

  2. Kim-Kwang Raymond Choo

    1. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Haruna Chiroma

    1. Mathematical Sciences Department, Abubakar Tafawa Balewa University, Bauchi, Nigeria

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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research on emerging applications and technologies for Industry 4.0
  • Includes selected papers from the 2020 International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI 2020) held on July 21–23, 2020, in Uyo, Akwa Ibom State, Nigeria
  • Written by subject matter experts

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 254)

Included in the following conference series:

Conference proceedings info: EATI 2020.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training

    • Iztok Fister Jr.
    Pages 1-8

  3. Analysis of Variable Learning Rate Back Propagation with Cuckoo Search Algorithm for Data Classification

    • Maria Ali, Abdullah Khan, Asfandyar Khan, Saima Anwar Lashari
    Pages 9-21

  4. A Metaheuristic Based Virtual Machine Allocation Technique Using Whale Optimization Algorithm in Cloud

    • Nadim Rana, Shafie Abd Latiff, Shafi’i Muhammad Abdulhamid
    Pages 22-38

  5. Data Sampling-Based Feature Selection Framework for Software Defect Prediction

    • Abdullateef O. Balogun, Fatimah B. Lafenwa-Balogun, Hammed A. Mojeed, Fatimah E. Usman-Hamza, Amos O. Bajeh, Victor E. Adeyemo et al.
    Pages 39-52

  6. A Reliable Hybrid Software Development Model: CRUP (Crystal Clear & RUP)

    • Taghi Javdani Gandomani, Mohammadreza Mollahoseini Ardakani, Maryam Shahzeydi
    Pages 53-69

  7. Investigative Study of Unigram and Bigram Features for Short Message Spam Detection

    • Rasheed G. Jimoh, Kayode S. Adewole, Tunbosun E. Aderemi, Abdullateef O. Balogun
    Pages 70-81

  8. Application of K-Nearest Neighbor Algorithm for Prediction of Television Advertisement Rating

    • Rizqi Prima Hariadhy, Edi Sutoyo, Oktariani Nurul Pratiwi
    Pages 82-91

  9. Predictive Decision Support Analytic Model for Intelligent Obstetric Risks Management

    • Udoinyang G. Inyang, Imoh J. Eyoh, Chukwudi O. Nwokoro, Francis B. Osang
    Pages 92-108

  10. An Evaluation of the Frameworks for Predicting COVID-19 in Nigeria Using Time Series Data Analytics Model

    • Collins N. Udanor, Agozie H. Eneh, Stella-Maris I. Orim
    Pages 109-123

  11. Multi-objective Wrapper-Based Feature Selection Using Binary Cuckoo Optimisation Algorithm: A Comparison Between NSGAII and NSGAIII

    • Ali Muhammad Usman, Umi Kalsom Yusof, Syibrah Naim, Ali Usman Abdullahi, Abubakar Mu’azu Ahmed, Osama Ahmad Alomari et al.
    Pages 124-136

  12. A Logistic Predictive Model for Determining the Prevalent Mode of Financial Cybercrime in Sub-Saharan Africa

    • C. N. Udanor, I. A. Ogbodo, O. A. Ezugwu, C. H. Ugwuishiwu
    Pages 137-151

  13. PEDAM: Priority Execution Based Approach for Detecting Android Malware

    • Olorunjube James Falana, Adesina Simon Sodiya, Saidat Adebukola Onashoga, Anas Teju Oyewole
    Pages 152-165

  14. Mathematical Verification of Hybrid Model for Prime Decision-Making in Driving

    • Rabi Mustapha, Muhammad Aminu Ahmad, Mohammed Auwal Ahmed, Muktar Hussaini
    Pages 166-180

  15. A Review on Unmanned Aerial Vehicle Energy Sources and Management

    • Ibrahim Abdullahi Shehu, Musa Mohammed, Sulaiman Haruna Sulaiman, Abubakar Abdulkarim, Ahmad Bala Alhassan
    Pages 181-204

  16. An Efficient Multi-sensor Positions Human Activity Recognition: Elderly Peoples in Rural Areas in Focus

    • Haruna Abdu, Mohd Halim Mohd Noor, Rosni Abdullah
    Pages 205-219

  17. A Holistic Approach for Enhancing Critical Infrastructure Protection: Research Agenda

    • Livinus Obiora Nweke, Stephen D. Wolthusen
    Pages 220-228

  18. Cursory View of IoT-Forensic Readiness Framework Based on ISO/IEC 27043 Recommendations

    • Phathutshedzo P. Mudau, H. S. Venter, Victor R. Kebande, Richard A. Ikuesan, Nickson M. Karie
    Pages 229-239

  19. Regulation and Standardization of Blockchain Technology for Improved Benefit Realization

    • Udochukwu C. Enwerem, Gloria A. Chukwudebe
    Pages 240-253

  20. Deep Learning Solutions for Protein: Recent Development and Future Directions

    • Haruna Chiroma, Ali Muhammad Usman, Fatsuma Jauro, Lubna A. Gabralla, Kayode S. Adewole, Emmanuel Gbenga Dada et al.
    Pages 254-271
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  1. International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020)

Keywords

About this book

This book addresses the adoption of intelligent algorithms for resolving challenges in different aspects of the society such as sport, cyber-security, COVID-19 pandemic, advertising, driving, smart environment—sensors, blockchain, cloud computing, and health. In addition, the book also covers machine learning fundamentals such as feature selection. The book presents practical simulation results and different illustrations in different chapters for easy understanding of concepts and approaches. The types of contributions in the book are as follows: original research, survey, and theoretical insight that describe advancement in the adoption of technique for resolving the broad range of challenges. Researchers, undergraduates, postgraduates, and industry experts will find the book as a valuable resource that bridges theory and practice.

 


Editors and Affiliations

  • Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Australia

    Jemal H. Abawajy

  • Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, USA

    Kim-Kwang Raymond Choo

  • Mathematical Sciences Department, Abubakar Tafawa Balewa University, Bauchi, Nigeria

    Haruna Chiroma

Bibliographic Information

  • Book Title: International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020)

  • Book Subtitle: Emerging Applications and Technologies for Industry 4.0

  • Editors: Jemal H. Abawajy, Kim-Kwang Raymond Choo, Haruna Chiroma

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-030-80216-5

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-80215-8Published: 15 July 2021

  • eBook ISBN: 978-3-030-80216-5Published: 14 July 2021

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XIII, 296

  • Number of Illustrations: 31 b/w illustrations, 70 illustrations in colour

  • Topics: Computational Intelligence, Industrial and Production Engineering

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