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Advanced Computing

12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Deepak Garg

    1. SR University, Warangal, India

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  2. V. A. Narayana

    1. CMR College of Engineering & Technology, Hyderabad, India

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  3. P. N. Suganthan

    1. Nanyang Technological University, Singapore, Singapore

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  4. Jaume Anguera

    1. Ramon Llull University, Barcelona, Spain

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  5. Vijaya Kumar Koppula

    1. CMR College of Engineering & Technology, Hyderabad, India

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  6. Suneet Kumar Gupta

    1. Bennett University, Greater Noida, India

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1782)

Included in the following conference series:

Conference proceedings info: IACC 2022.

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About this book

This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022.

The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: ​AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries.

Keywords

Table of contents (37 papers)

  1. Front Matter

    Pages i-xxxiv
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  2. Innovations in AI

    1. Front Matter

      Pages 1-1
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    2. GCOMSP: Design of a GWO Based Model for Continuous Optimization of Multidomain Stock Prediction Performance

      • Rachna Sable, Shivani Goel, Pradeep Chatterjee
      Pages 3-16

    3. Self Supervised Learning for Classifying the Rotated Images

      • Sidharth Roy, Aboli Marathe, Rahee Walambe, Ketan Kotecha
      Pages 17-24

    4. Unsupervised Learning Method for Better Imputation of Missing Values

      • B. Mathura Bai, N. Mangathayaru, B. Padmaja Rani
      Pages 25-34

    5. DR-A-LSTM: A Recurrent Neural Network with a Dimension Reduction Autoencoder a Deep Learning Approach for Landslide Movements Prediction

      • Praveen Kumar, Priyanka, K. V. Uday, Varun Dutt
      Pages 35-49

    6. Exploring the Incremental Improvements of YOLOv7 over YOLOv5 for Character Recognition

      • Alden Boby, Dane Brown, James Connan, Marc Marias
      Pages 50-65

    7. Verifiable Machine Learning Models in Industrial IoT via Blockchain

      • Jan Stodt, Fatemeh Ghovanlooy Ghajar, Christoph Reich, Nathan Clarke
      Pages 66-84

    8. Sentence Classification Using Quantum Natural Language Processing and Comparison of Optimization Methods

      • K. M. M. Rajashekharaiah, Satyadhyan Chickerur, Goutam Hegde, Subrahmanya L. Bhat, Shubham Annappa Sali
      Pages 85-98

    9. Dimension Reduction in the Sagittal Plane for Diagnosis of Mild Cognitive Impairment

      • Harsh Bhasin, Vishal Deshwal, Arush Jasuja
      Pages 99-105

    10. Univariate, Multivariate, and Ensemble of Multilayer Perceptron Models for Landslide Movement Prediction: A Case Study of Mandi

      • Priyanka, Praveen Kumar, Arti Devi, K. Akshay, G. Gaurav, K. V. Uday et al.
      Pages 106-118

    11. An Effective Approach for Identification of Multivariate Global Outlier Using Min, Average and Max Linkage Methods of Agglomerative

      • Vijay Kumar Verma
      Pages 119-139

    12. Prediction of Heat Energy Consumption by LSTM Sequence-to-Sequence Models

      • Mazen Ossman, Rozina Mohaideen, Yaxin Bi
      Pages 140-153

    13. A Chi-Square Dissimilarity Measure for Clustering Categorical Datasets

      • Luis Ariosto Serna Cardona, Kevin Alejandro Hernández, Gina Marcela Barreto, Piedad Navarro González, Álvaro Ángel Orozco Gutiérrez
      Pages 154-166

  3. System Security and Communication using AI

    1. Front Matter

      Pages 167-167
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    2. DDoS Attacks Detection Using a Deep Neural Network Model

      • Meenakshi Mittal, Krishan Kumar, Sunny Behal
      Pages 169-182

    3. A Large Scale IoT Botnet Attack Detection Using Ensemble Learning

      • B. Jwalin, S. Saravanan
      Pages 183-193

    4. Neural-Network-Based OFDM-SNM Detection: Emerging Technique of Future Data Communication

      • Jagadeshwaran Ramasamy, Dhandapani Samiappan
      Pages 194-204

    5. Anomaly Detection in Time Series Data by Forecasting Using Facebook Prophet

      • Sangeeta Oswal, Shubham Hadawle, Atharva Khangar
      Pages 205-220

    6. A Survey of Statistical, Machine Learning, and Deep Learning-Based Anomaly Detection Techniques for Time Series

      • Sangeeta Oswal, Subhash Shinde, M. Vijayalakshmi
      Pages 221-234
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Other volumes

  1. Advanced Computing

  2. Advanced Computing

Editors and Affiliations

  • SR University, Warangal, India

    Deepak Garg

  • CMR College of Engineering & Technology, Hyderabad, India

    V. A. Narayana, Vijaya Kumar Koppula

  • Nanyang Technological University, Singapore, Singapore

    P. N. Suganthan

  • Ramon Llull University, Barcelona, Spain

    Jaume Anguera

  • Bennett University, Greater Noida, India

    Suneet Kumar Gupta

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