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Modeling, Machine Learning and Astronomy

First International Conference, MMLA 2019, Bangalore, India, November 22–23, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Snehanshu Saha

    1. CSIS and APPCAIR, Birla Institute of Technology and Science, Vasco Da Gama, India

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  2. Nithin Nagaraj

    1. School of Humanities, National Institute of Advanced Studies, Bengaluru, India

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    You can also search for this editor in PubMed   Google Scholar

  3. Shikha Tripathi

    1. PES University, Bangalore, India

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1290)

Included in the following conference series:

Conference proceedings info: MMLA 2019.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xii
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  2. Modeling and Foundations

    1. Front Matter

      Pages 1-1
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    2. Optimizing Inter-nationality of Journals: A Classical Gradient Approach Revisited via Swarm Intelligence

      • Luckyson Khaidem, Rahul Yedida, Abhijit J. Theophilus
      Pages 3-14

    3. Stirling Numbers via Combinatorial Sums

      • Anwesh Bhattacharya, Bivas Bhattacharya
      Pages 15-25

    4. Random Subspace Combined LDA Based Machine Learning Model for OSCC Classifier

      • Archana Nawandhar, Navin Kumar, Lakshmi Yamujala
      Pages 26-40

    5. Automatic Annotation of Deceptive Online Reviews Using Topic Modelling

      • R. N. Pramukha, P. S. Venugopala
      Pages 41-51

  3. Machine Learning Applications

    1. Front Matter

      Pages 53-53
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    2. Machine Learning Technique for Analyzing the Behavior of Fish in an Aquarium

      • Rishabh Bhaskaran, Rajesh Kanna Baskaran, C. Vijayalakshmi
      Pages 55-65

    3. Faster Convergence to N-Queens Problem Using Reinforcement Learning

      • Patnala Prudhvi Raj, Preet Shah, Pragnya Suresh
      Pages 66-77

    4. Classification of Corpus Callosum Layer in Mid-saggital MRI Images Using Machine Learning Techniques for Autism Disorder

      • A. Ramanathan, T. Christy Bobby
      Pages 78-91

    5. Dynamic Systems Simulation and Control Using Consecutive Recurrent Neural Networks

      • Srikanth Chandar, Harsha Sunder
      Pages 92-103

    6. Enhanced Hybrid Segmentation with Non Local Block and Deep Residual Networks

      • Yuvaram Singh, Guda Ramachandra Kaladhara Sarma, Kameshwar Rao
      Pages 104-110

  4. Astronomy and AstroInformatics

    1. Front Matter

      Pages 111-111
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    2. Chaotic Quantum Behaved Particle Swarm Optimization for Multiobjective Optimization in Habitability Studies

      • Arun John, Anish Murthy
      Pages 113-129

    3. The System of Open Star Clusters Revisited

      • Priya Hasan, S. N. Hasan
      Pages 130-143

    4. Genetic Bi-objective Optimization Approach to Habitability Score

      • Sriram Krishna, Niharika Pentapati
      Pages 144-157

    5. Machine Learning Based Analysis of Gravitational Waves

      • Surbhi Agrawal, Rahul Aedula, D. S. Rahul Surya
      Pages 158-175

    6. Thermal Suitability Scheme: Habitability Classification of Exoplanets

      • Suryoday Basak
      Pages 176-184

  5. Back Matter

    Pages 185-185
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Other volumes

  1. Modeling, Machine Learning and Astronomy

Keywords

About this book

This book constitutes the proceedings of the First International Conference on Modeling, Machine Learning and Astronomy, MMLA 2019, held in Bangalore, India, in November 2019.

The 11 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 63 submissions. They are organized in topical sections on ​modeling and foundations; machine learning applications; astronomy and astroinformatics.

Editors and Affiliations

  • CSIS and APPCAIR, Birla Institute of Technology and Science, Vasco Da Gama, India

    Snehanshu Saha

  • School of Humanities, National Institute of Advanced Studies, Bengaluru, India

    Nithin Nagaraj

  • PES University, Bangalore, India

    Shikha Tripathi

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