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Computational Intelligence and Data Analytics

Proceedings of ICCIDA 2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Rajkumar Buyya

    1. Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Melbourne, Australia

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  2. Susanna Munoz Hernandez

    1. Computer Science School (FI), Technical University of Madrid, Madrid, Spain

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  3. Ram Mohan Rao Kovvur

    1. Department of Information Technology, Vasavi College of Engineering, Hyderabad, India

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  4. T. Hitendra Sarma

    1. Department of Information Technology, Vasavi College of Engineering, Hyderabad, India

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  • Presents research works in the field of computational intelligence and data analytics
  • Results of ICCIDA 2022 held in Hyderabad, India during April 2022
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 142)

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Table of contents (47 papers)

  1. Computational Intelligence–Deep Learning

    1. Indian Classical Dance Forms Classification Using Transfer Learning

      • Challapalli Jhansi Rani, Nagaraju Devarakonda
      Pages 241-255

    2. Skin Cancer Classification for Dermoscopy Images Using Model Based on Deep Learning and Transfer Learning

      • Vikash Kumar, Bam Bahadur Sinha
      Pages 257-271

    3. Deep Neural Network Architecture for Face Mask Detection Against COVID-19 Pandemic Using Pre-trained Exception Network

      • S. R. Surya, S. R. Resmi
      Pages 273-282

    4. MOOC-LSTM: The LSTM Architecture for Sentiment Analysis on MOOCs Forum Posts

      • Purnachary Munigadiapa, T. Adilakshmi
      Pages 283-293

    5. License Plate Detection of Motorcyclists Without Helmets

      • S. K. Chaya Devi, G. Vishal Reddy, Y. Aakarsh, B. Gowtham
      Pages 295-301

    6. Object Detection and Tracking Using DeepSORT

      • Divya Lingineni, Prasanna Dusi, Rishi Sai Jakkam, Sai Yada
      Pages 303-312

    7. Continuous Investing in Advanced Fuzzy Technologies for Smart City

      • V. Lakhno, V. Malyukov, D. Kasatkin, V. Chubaieskyi, S. Rzaieva, D. Rzaiev
      Pages 313-327

    8. Lesion Segmentation in Skin Cancer Detection Using UNet Architecture

      • Shubhi Miradwal, Waquas Mohammad, Anvi Jain, Fawwaz Khilji
      Pages 329-340

    9. Getting Around the Semantics Challenge in Hateful Memes

      • Anind Kiran, Manah Shetty, Shreya Shukla, Varun Kerenalli, Bhaskarjyoti Das
      Pages 341-351

    10. Classification of Brain Tumor of Magnetic Resonance Images Using Convolutional Neural Network Approach

      • Raghawendra Sinha, Dipti Verma
      Pages 353-361

    11. Detection of COVID-19 Infection Using Convolutional Neural Network

      • D. Aravind, Neha Jabeen, D. Nagajyothi
      Pages 363-372

    12. Hybrid Classification Algorithm for Early Prediction of Alzheimer’s Disease

      • B. A. Sujatha Kumari, Sudarshan Patil Kulkarni, Ayesha Sultana
      Pages 373-386

  2. Data Analytics

    1. Front Matter

      Pages 387-387
      Download chapter PDF

    2. Evaluating Models for Better Life Expectancy Prediction

      • Amit, Reshov Roy, Rajesh Tanwar, Vikram Singh
      Pages 389-404

    3. Future Gold Price Prediction Using Ensemble Learning Techniques and Isolation Forest Algorithm

      • Nandipati Bhagya Lakshmi, Nagaraju Devarakonda
      Pages 405-419

    4. Second-Hand Car Price Prediction

      • N. Anil Kumar
      Pages 421-429

    5. A Study on Air Pollution Over Hyderabad Using Factor Analysis—Kaggle Data

      • N. Vasudha, P. Venkateswara Rao
      Pages 431-441

    6. A Comparative Study of Hierarchical Risk Parity Portfolio and Eigen Portfolio on the NIFTY 50 Stocks

      • Jaydip Sen, Abhishek Dutta
      Pages 443-460

    7. Collaborative Approach Toward Information Retrieval System to Get Relevant News Articles Over Web: IRS-Web

      • Shabina, Sonal Chawla
      Pages 461-474

    8. Patent Recommendation Engine Using Graph Database

      • Aniruddha Chatterjee, Sagnik Biswas, M. Kanchana
      Pages 475-486
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Keywords

About this book

The book presents high-quality research papers presented at the International Conference on Computational Intelligence and Data Analytics (ICCIDA 2022), organized by the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India in January 2022. ICCIDA provides an excellent platform for exchanging knowledge with the global community of scientists, engineers, and educators. This volume covers cutting-edge research in two prominent areas – computational intelligence and data analytics, and allied research areas.

Editors and Affiliations

  • Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Melbourne, Australia

    Rajkumar Buyya

  • Computer Science School (FI), Technical University of Madrid, Madrid, Spain

    Susanna Munoz Hernandez

  • Department of Information Technology, Vasavi College of Engineering, Hyderabad, India

    Ram Mohan Rao Kovvur, T. Hitendra Sarma

About the editors

Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 750 publications and published seven textbooks which are more popular internationally. Dr. Buyya is one of the highly cited authors in computer science and software engineering worldwide. "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most Productive (#1) Author in Cloud Computing. He served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Software: Practice and Experience, a long-standing journal in the field established nearly 50 years ago.
 
Susana Muñoz Hernández obtained Ph.D. in Computer Science from the Technical University of Madrid (UPM), Master in Management of Information Technologies from the Ramón Llull University of Barcelona, and a graduate in International Affairs from the Society of International Studies of Madrid. She won the first prize in a national competition for talented young people organized by the University of La Salle of Madrid in 2003. She has professional experience in some companies (ICT and bank sector) and join research (national and European) projects of recognized prestige in Computational Logic and Artificial Intelligence. She has been working as an Associate Professor at the Computer Science School of the Technical University of Madrid since 1998. She develops her research activity in the BABEL group with more than eighty publications. She received the UPM prize of research in international cooperation for development in 2011. She has been part of the organizing committees of more than 15international conferences.


Dr. K. Ram Mohan Rao received Ph.D in Computer Science and Engineering from Jawaharlal Nehru Technology University (JNTU) in the year 2014 with a Research specialization in Grid Computing. He has more than 25 years of teaching experience in various cadres and currently, he is the Professor and Head of the Information Technology Department, Vasavi College of Engineering, Telangana, Hyderabad, INDIA. He received many prestigious awards from reputed organizations. Dr. Ram Mohan Rao has published and Presented more than 25 research articles in National and International Journals and Conferences. He obtained a grant of Rs 19.31 Lakhs from AICTE under MODROBS and established Deep Learning Lab. As a part of their Research work, he established a Grid Environment using Globus ToolKit (open source software toolkit used for building Grid systems). Further, he also Established Cloud Lab, VCE using Aneka Platform (US Patented) of Manjrasoft Pvt Ltd. His research areas include Distributed Systems Cloud Computing and Data Science.


Dr. T. Hitendra Sarma received Ph.D. in Machine Learning from JNT University Anantapur, India, in Dec’ 2013.  He has more than 14 years of teaching and research experience. Served at different reputed institutes in various capacities. Currently, Dr. Sarma is working as Associate Professor at Vasavi College of Engineering, Hyderabad. Dr. Sarma has published more than 30 research articles in various peer-reviewed International Journals and Conferences by Springer, Elsevier, and IEEE. His research interests include Machine Learning, Hyperspectral Image Processing, Artificial Neural Networks, Data Mining, Data Science, etc. Dr. Sarma holds a project funded by SERB, INDIA. Dr. Sarma is an active researcher. He presented his research articles at reputed conferences like IEEE WCCI (2016 Vancouver, Canada), IEEE CEC (2018, Rio de Janeiro, Brazil), and IEEE ICECIE (2019 Malaysia). He delivered an Invited Talk at the Third International Conference on Data Mining (ICDM) 2017 in Hualien, Taiwan.


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