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Computational Intelligence in Communications and Business Analytics

5th International Conference, CICBA 2023, Kalyani, India, January 27–28, 2023, Revised Selected Papers, Part I

  • Conference proceedings
  • © 2024

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Editors:
  1. Kousik Dasgupta

    1. Kalyani Government Engineering College, Kalyani, India

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  2. Somnath Mukhopadhyay

    1. Assam University, Silchar, India

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  3. Jyotsna K. Mandal

    1. University of Kalyani, Kalyani, India

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  4. Paramartha Dutta

    1. Visvabharati University, Santiniketan, India

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1955)

Included in the following conference series:

Conference proceedings info: CICBA 2023.

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About this book

This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27–28, 2023.

The 52 full papers presented in this volume were carefully reviewed and selected from 187 submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research.

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Keywords

Table of contents (26 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer’s Disease

    • Sampa Rani Bhadra, Souvik Sengupta
    Pages 1-13

  3. Assessment of Slope Instability in a Hilly Terrain: A Logistic Regression and Random Forest Based Approach

    • Sumon Dey, Swarup Das
    Pages 14-27

  4. A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression

    • Subhankar Roy, Anirban Mukhopadhyay
    Pages 28-42

  5. Classification of Text and Non-text Components Present in Offline Unconstrained Handwritten Documents Using Convolutional Neural Network

    • Bhaskar Sarkar, Saikh Risat, Asha Laha, Sanchari Pattanayak, Showmik Bhowmik
    Pages 43-50

  6. Motion Detection Using Three Frame Differencing and CNN

    • Tamal Biswas, Diptendu Bhattacharya, Gouranga Mandal, Teerthankar Das
    Pages 51-63

  7. Advance Detection of Diabetic Retinopathy: Deep Learning Approach

    • Ankur Biswas, Rita Banik
    Pages 64-77

  8. Load Flow Solution for Radial Distribution Networks Using Chaotic Opposition Based Whale Optimization Algorithm

    • Suvabrata Mukherjee, Provas Kumar Roy
    Pages 78-92

  9. Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network

    • Radha Krishna Bar, Somnath Mukhopadhyay, Debasish Chakraborty, Mike Hinchey
    Pages 93-106

  10. Economic Load Dispatch Problem Using African Vulture Optimization Algorithm (AVOA) in Thermal Power Plant with Wind Energy

    • Pritam Mandal, Sk. Sanimul, Barun Mandal, Provas Kumar Roy
    Pages 107-120

  11. Grey Wolf Optimization Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic Modules in Wireless Battery Charging Application

    • Preet Samanta, Rishav Roy, Sarthak Mazumder, Pritam Kumar Gayen
    Pages 121-134

  12. Regression Analysis for Finding Correlation on Indian Agricultural Data

    • Somenath Hazra, Kartick Chandra Mondal
    Pages 135-151

  13. Classification of the Chest X-ray Images of COVID-19 Patients Through the Mean Structural Similarity Index

    • Mayukha Pal, Prasanta K. Panigrahi
    Pages 152-164

  14. A Religious Sentiment Detector Based on Machine Learning to Provide Meaningful Analysis of Religious Texts

    • Sourasish Nath, Upamita Das, Debmitra Ghosh
    Pages 165-184

  15. Automated Detection of Melanoma Skin Disease Using Classification Algorithm

    • Manisha Barman, J. Paul Choudhury, Susanta Biswas
    Pages 185-198

  16. Identification of Cloud Types for Meteorological Satellite Images: A Character-Based CNN-LSTM Hybrid Caption Model

    • Sanjukta Mishra, Parag Kumar Guhathakurta
    Pages 199-212

  17. Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI

    • Sai Shyam Desetti, Indranil Ghosh
    Pages 213-227

  18. ANN for Diabetic Prediction by Using Chaotic Based Sine Cosine Algorithm

    • Rana Pratap Mukherjee, Rajesh Kumar Chatterjee, Falguni Chakraborty
    Pages 228-238

  19. A Deep CNN Framework for Oral Cancer Detection Using Histopathology Dataset

    • Mahamuda Sultana, Suman Bhattacharya, Ananjan Maiti, Adarsh Pandey, Diganta Sengupta
    Pages 239-248

  20. AntiNuclear Antibody Pattern Classification Using CNN with Small Dataset

    • Munakala Lohith, Soumi Bardhan, Oishila Bandyopadhyay, Bhabotosh Chanda
    Pages 249-260
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Other volumes

  1. Computational Intelligence in Communications and Business Analytics

  2. Computational Intelligence in Communications and Business Analytics

Editors and Affiliations

  • Kalyani Government Engineering College, Kalyani, India

    Kousik Dasgupta

  • Assam University, Silchar, India

    Somnath Mukhopadhyay

  • University of Kalyani, Kalyani, India

    Jyotsna K. Mandal

  • Visvabharati University, Santiniketan, India

    Paramartha Dutta

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