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  • Conference proceedings
  • © 2021

Multi-disciplinary Trends in Artificial Intelligence

14th International Conference, MIWAI 2021, Virtual Event, July 2–3, 2021, Proceedings

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12832)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): MIWAI: International Conference on Multi-disciplinary Trends in Artificial Intelligence

Conference proceedings info: MIWAI 2021.

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  • ISBN: 978-3-030-80253-0
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Table of contents (17 papers)

  1. Front Matter

    Pages i-xiv
  2. 3D Point Cloud Upsampling and Colorization Using GAN

    • Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim
    Pages 1-13
  3. Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes

    • Daan Apeldoorn, Lars Hadidi, Torsten Panholzer
    Pages 14-26
  4. An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits

    • Sangho Lee, Junbeom Park, Ho Suk, Taewoo Kim, Pamul Yadav, Shiho Kim
    Pages 27-33
  5. Book Cover and Content Similarity Retrieval Using Computer Vision and NLP Techniques

    • Chatklaw Jareanpon, Khanabhorn Kawattikul
    Pages 34-44
  6. Feature Group Importance for Automated Essay Scoring

    • Jih Soong Tan, Ian K. T. Tan
    Pages 58-70
  7. Acquiring Input Features from Stock Market Summaries: A NLG Perspective

    • Aristotle Tan, Hui-Ngo Goh, Lai-Kuan Wong
    Pages 81-93
  8. A Comparative of a New Hybrid Based on Neural Networks and SARIMA Models for Time Series Forecasting

    • Chalermrat Nontapa, Chainarong Kesamoon, Nicha Kaewhawong, Peerasak Intrapaiboon
    Pages 94-105
  9. Cartpole Problem with PDL and GP Using Multi-objective Fitness Functions Differing in a Priori Knowledge

    • Peter David Shannon, Chrystopher L. Nehaniv, Somnuk Phon-Amnuaisuk
    Pages 106-117
  10. Learning Robot Arm Controls Using Augmented Random Search in Simulated Environments

    • Somnuk Phon-Amnuaisuk, Peter David Shannon, Saiful Omar
    Pages 118-128
  11. An Analytical Evaluation of a Deep Learning Model to Detect Network Intrusion

    • Md Al-Imran, Kazi Jahidur Rahaman, Mohammad Rasel, Shamim H. Ripon
    Pages 129-140
  12. Application of Machine Learning Techniques to Predict Breast Cancer Survival

    • Jaree Thomgkam, Vatinee Sukmak, Papidchaya Klangnok
    Pages 141-151
  13. Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning

    • Rapeeporn Chamchong, Umaporn Saisangchan, Pornntiwa Pawara
    Pages 152-163
  14. Correction to: Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning

    • Rapeeporn Chamchong, Umaporn Saisangchan, Pornntiwa Pawara
    Pages C1-C1
  15. Back Matter

    Pages 189-189

Other Volumes

  1. Multi-disciplinary Trends in Artificial Intelligence

    14th International Conference, MIWAI 2021, Virtual Event, July 2–3, 2021, Proceedings

About this book

This book constitutes the refereed proceedings of the 14th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2021, held online in July 2021.

The 13 full papers and 3 short papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of topics in theory, methods, and tools in AI sub-areas such as cognitive science, computational philosophy, computational intelligence, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, data mining, speech, computer vision and the Web as well as their applications in big data, bioinformatics, biometrics, decision support, knowledge management, privacy, recommender systems, security, software engineering, spam filtering, surveillance, telecommunications, Web services, and IoT.

Keywords

  • artificial intelligence
  • computational linguistics
  • computer vision
  • data mining
  • databases
  • image analysis
  • image processing
  • image segmentation
  • information retrieval
  • machine learning
  • natural language processing
  • neural networks
  • NLP
  • semantics
  • signal processing

Editors and Affiliations

  • Mahasarakham University, Maha Sarakham, Thailand

    Phatthanaphong Chomphuwiset, Pornntiwa Pawara

  • Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Junmo Kim

Bibliographic Information

  • Book Title: Multi-disciplinary Trends in Artificial Intelligence

  • Book Subtitle: 14th International Conference, MIWAI 2021, Virtual Event, July 2–3, 2021, Proceedings

  • Editors: Phatthanaphong Chomphuwiset, Junmo Kim, Pornntiwa Pawara

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-80253-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-80252-3

  • eBook ISBN: 978-3-030-80253-0

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 189

  • Number of Illustrations: 28 b/w illustrations, 52 illustrations in colour

  • Topics: Artificial Intelligence, Computer Engineering and Networks, Computer Vision

Buying options

eBook
USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-80253-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 74.99
Price excludes VAT (USA)