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Trends in Data Engineering Methods for Intelligent Systems

Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020)

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Jude Hemanth

    1. Department of Electronics and Communication Engineering, Karunya University, Coimbatore, India

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  2. Tuncay Yigit

    1. Department of Computer Engineering, Faculty of Engineering, Süleyman Demirel University, Isparta, Turkey

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  3. Bogdan Patrut

    1. Department of Computer Science, Alexandru Ioan Cuza University, Iasi, Romania

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  4. Anastassia Angelopoulou

    1. Department of Computer Science and Engineering, University of Westminster, London, UK

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  • Discusses recent research on computational intelligence and applied mathematics in engineering problems
  • Presents the proceedings of the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020), held in Antalya, Turkey, on April 18–20, 2020
  • Focuses on technological innovations and trendsetting initiatives applicable for engineering-oriented stakeholders

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 76)

Included in the following conference series:

Conference proceedings info: ICAIAME 2020.

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Table of contents (69 papers)

  1. Front Matter

    Pages i-xxvi
    Download chapter PDF

  2. Prediction of Liver Cancer by Artificial Neural Network

    • Remzi Gurfidan, Mevlut Ersoy
    Pages 1-9

  3. Remarks on the Limit-Circle Classification of Conformable Fractional Sturm-Liouville Operators

    • Bilender P. Allahverdiev, Hüseyin Tuna, Yüksel Yalçinkaya
    Pages 10-14

  4. Improving Search Relevance with Word Embedding Based Clusters

    • Işılay Tuncer, Kemal Can Kara, Aşkın Karakaş
    Pages 15-24

  5. Predicting Suicide Risk in Turkey Using Machine Learning

    • Elif Şanlıalp, İbrahim Şanlıalp, Tuncay Yiğit
    Pages 25-32

  6. Building an Open Source Big Data Platform Based on Milis Linux

    • Melih Günay, Muhammed Numan İnce
    Pages 33-41

  7. Machine Learning for the Diagnosis of Chronic Obstructive Pulmonary Disease and Photoplethysmography Signal – Based Minimum Diagnosis Time Detection

    • Engin Melekoğlu, Ümit Kocabıçak, Muhammed Kürşad Uçar, Mehmet Recep Bozkurt, Cahit Bilgin
    Pages 42-58

  8. Diagnosis of Parkinson’s Disease with Acoustic Sounds by Rule Based Model

    • Kılıçarslan Yıldırım, Muhammed Kürşad Uçar, Ferda Bozkurt, Mehmet Recep Bozkurt
    Pages 59-75

  9. Text Classification Models for CRM Support Tickets

    • Şevval Az, Uygar Takazoğlu, Aşkın Karakaş
    Pages 76-81

  10. SMOTE-Text: A Modified SMOTE for Turkish Text Classification

    • Nur Curukoglu, Alper Ozpinar
    Pages 82-92

  11. Development of Face Recognition System by Using Deep Learning and Face-Net Algorithm in the Operations Processes

    • Ali Tunç, Mehmet Yildirim, Şakir Taşdemir, Adem Alpaslan Altun
    Pages 93-105

  12. Mobile Assisted Travel Planning Software: The Case of Burdur

    • Ali Hakan Işık, Rifai Kuçi
    Pages 106-112

  13. Text-Based Fake News Detection via Machine Learning

    • Uğur Mertoğlu, Burkay Genç, Hayri Sever
    Pages 113-124

  14. A Recommendation System for Article Submission for Researchers

    • Seth Michail, Ugur Hazir, Taha Yigit Alkan, Joseph William Ledet, Melih Gunay
    Pages 125-135

  15. Optimal Power Flow Using Manta Ray Foraging Optimization

    • Ugur Guvenc, Huseyin Bakir, Serhat Duman, Burcin Ozkaya
    Pages 136-149

  16. Optimal Coordination of Directional Overcurrent Relays Using Artificial Ecosystem-Based Optimization

    • Ugur Guvenc, Huseyin Bakir, Serhat Duman
    Pages 150-164

  17. Performance Evaluation of Machine Learning Techniques on Flight Delay Prediction

    • Irmak Daldır, Nedret Tosun, Ömür Tosun
    Pages 165-173

  18. Machine Breakdown Prediction with Machine Learning

    • Hande Erdoğan, Ömür Tosun, M. K. Marichelvam
    Pages 174-182

  19. Prevention of Electromagnetic Impurities by Electromagnetics Intelligence

    • Mehmet Duman
    Pages 183-189

  20. The Effect of Auscultation Areas on Nonlinear Classifiers in Computerized Analysis of Chronic Obstructive Pulmonary Disease

    • Ahmet Gökçen, Emre Demir
    Pages 190-197
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  1. Trends in Data Engineering Methods for Intelligent Systems

Keywords

About this book

This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.

 

Editors and Affiliations

  • Department of Electronics and Communication Engineering, Karunya University, Coimbatore, India

    Jude Hemanth

  • Department of Computer Engineering, Faculty of Engineering, Süleyman Demirel University, Isparta, Turkey

    Tuncay Yigit

  • Department of Computer Science, Alexandru Ioan Cuza University, Iasi, Romania

    Bogdan Patrut

  • Department of Computer Science and Engineering, University of Westminster, London, UK

    Anastassia Angelopoulou

Bibliographic Information

  • Book Title: Trends in Data Engineering Methods for Intelligent Systems

  • Book Subtitle: Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020)

  • Editors: Jude Hemanth, Tuncay Yigit, Bogdan Patrut, Anastassia Angelopoulou

  • Series Title: Lecture Notes on Data Engineering and Communications Technologies

  • DOI: https://doi.org/10.1007/978-3-030-79357-9

  • 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: 978-3-030-79356-2Published: 06 July 2021

  • eBook ISBN: 978-3-030-79357-9Published: 05 July 2021

  • Series ISSN: 2367-4512

  • Series E-ISSN: 2367-4520

  • Edition Number: 1

  • Number of Pages: XXVI, 773

  • Number of Illustrations: 90 b/w illustrations, 272 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence

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