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Progress in Intelligent Decision Science

Proceeding of IDS 2020

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Tofigh Allahviranloo

    1. Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey

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  2. Soheil Salahshour

    1. Faculty of Engineering and Natural Sciences, Bahçeşehir University, Istanbul, Turkey

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    You can also search for this editor in PubMed   Google Scholar

  3. Nafiz Arica

    1. Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey

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  • Presents Advances in Intelligent Decision Science
  • Contains the Proceedings of the 4th International Online Conference on Intelligent Decision Science (IDS 2020) held in Istanbul, Turkey, on August 7–8, 2020
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1301)

Included in the following conference series:

Conference proceedings info: IDS 2020.

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Table of contents (77 papers)

  1. Front Matter

    Pages i-xi
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  2. Data Mining and Knowledge Discovery

    1. Front Matter

      Pages 1-1
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    2. Identification of Sport News in Turkish Tweets Using Deep Learning Architectures

      • Mansur Alp Toçoğlu, Aytuğ Onan
      Pages 3-13

    3. Real-Time News Grouping: Detecting the Same-Content News on Turkish News Stream

      • Yavuz Kömeçoğlu, Başak Buluz Kömeçoğlu, Burcu Yılmaz
      Pages 14-25

    4. Statistical Analysis of Behavioral Intention Towards Private Umbilical Cord Blood Banking

      • Sonia Ghayem, Reza Foudazi
      Pages 26-41

    5. Improved Weighted Random Forest for Classification Problems

      • Mohsen Shahhosseini, Guiping Hu
      Pages 42-56

    6. Ontology-Based Elements Evaluation for Emergency Response Apps: A Delphi Technique Approach

      • Mohd Khairul Azmi Hassan, Norshita Mat Nayan
      Pages 57-70

    7. A Comparative Study on Visualization Technique for Home Network

      • Erman Hamid, Mei Choo Ang, Azizah Jaafar
      Pages 71-85

    8. A Sequential Decomposition Approach and Integrating the Concepts for Super-Networks in the Activity-Based Models

      • Mahdieh Allahviranloo
      Pages 86-98

    9. Non-rigid Joint Segmentation and Registration Using Variational Approach for Multi-modal Images

      • Mazlinda Ibrahim, Lavdie Rada, Adela Ademaj, Ke Chen
      Pages 99-112

  3. Intelligent Control Systems

    1. Front Matter

      Pages 113-113
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    2. A Mathematical Approach to Improve Energy-Water Nexus Reliability Using a Novel Multi-stage Adjustable Fuzzy Robust Approach

      • Afshin Ghassemi, Michael J. Scott
      Pages 115-123

    3. A New Combination Method for Fuzzy Optimal Control

      • Sahar Askari, Saeid Abbasbandy
      Pages 124-140

    4. Accuracy of Non-inertial Reference Frame on Sloshing Phenomenon with Intelligent Control in Rectangular Tanks Under Oblique Excitation

      • Laleh Noeiaghdam, Akbar Safarzadeh
      Pages 141-152

    5. Convergence of Q-Value in Case of Gaussian Rewards

      • Konatsu Miyamoto, Masaya Suzuki, Yuma Kigami, Kodai Satake
      Pages 153-165

    6. Evaluation of the Impact of Controllable Load Condition on Optimal Sizing of an Isolated Microgrid

      • Gulfem Er, Gurkan Soykan, Ethem Canakoglu, Recep Tufan Bektas, Yaren Sahin, Belgin Erdogan
      Pages 166-177

    7. Smart Room Temperature Controller IoT System

      • Erman Hamid, Muhammad Akmal Zolkepli, Nazrulazhar Bahaman, Syarulnaziah Anawar, Zakiah Ayop
      Pages 178-184

    8. Solving a Class of Optimal Control Problems by Using Chebyshev Polynomials and Recurrent Neural Networks

      • M. J. Ebadi, Hossein Jafari
      Pages 185-194

  4. Artificial Intelligence and Deep Learning

    1. Front Matter

      Pages 195-195
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    2. An Overview of Fake Face Detection Approaches

      • Duygu Cakir, Merve Aritürk, Özge Yücel
      Pages 197-211
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Other volumes

  1. Progress in Intelligent Decision Science

Keywords

About this book

This book contains the topics of artificial intelligence and deep learning that do have much application in real-life problems. The concept of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or in the real-life environment that is formed and combined with vague concepts and data. The chapters of this book are connected to the new concepts and aspects of decision making with uncertainty. Besides, other chapters are involved with the concept of data mining and decision making under uncertain computations.

Editors and Affiliations

  • Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey

    Tofigh Allahviranloo, Nafiz Arica

  • Faculty of Engineering and Natural Sciences, Bahçeşehir University, Istanbul, Turkey

    Soheil Salahshour

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