| Vol-3635 urn:nbn:de:0074-3635-4 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# WINS - CVMLH 2023
Joint Proceedings of WINS 2023 and CVMLH 2023

### Joint Proceedings of the Workshop on Intelligent Systems (WINS 2023) and the Workshop on Computer Vision and Machine Learning for Healthcare (CVMLH 2023)
Co-located with CODD 100 - 7th International Conference on Computing Sciences (ICCS 2023)

### Hybrid Event, Chennai, India, May 20 – 21, 2023.

Workshop on Intelligent Systems (WINS 2023)
Edited by

### Jagannathan Sarangapani *
Geetha Ganesan **
Rajiv Misra ***

* Missouri University Of Science And Technology, Missouri, United States
** Jain (Deemed-to-be) University, Bengaluru, India
*** Indian Institute of Technology, Patna, Bihar, India
Workshop on Computer Vision and Machine Learning for Healthcare (CVMLH 2023)
Edited by

### Valentina Emilia Balas *
Geetha Ganesan **
Manik Sharma ***

* Aurel Vlaicu University of Arad, Arad 310032, Romania
** Jain (Deemed-to-be) University, Bengaluru, India
*** DAV University, Jalandhar, Punjab, India

## Workshop on Intelligent Systems (WINS 2023)

- Preface
  Summary: There were 13 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume

- Comparative Analysis on Enhanced Image Compression Algorithms 01-12
  Anusha Bamini. A. M, Jeevan Siddhartha Aravapalli, Chitra. R
- Military Detection During Close Combat Situations and Border Monitoring Using Adaptive Customized Convolutional Neural Network 13-20
  Vaibhav Ram S.V.N.S, Bhabya Sinha, Arunima Adhikary, Damodar Panigrahy, Samiappan Dhanalakshmi
- Machine Learning-Based Rainfall Prediction for Various Regions 21-28
  L. Meenachi, S. Ramakrishnan, S. Vigashini, A. Preethi, R. Kavya
- Methodology for the Registration of Images and their Inclusion in Medica Image Management Systems, Based on the DICOM Protocol 29-34
  Wilver Auccahuasi, Luis Gordillo-Huamanchumo, Kitty Urbano, Oscar Linares, Karin Rojas, Yoni Nicolas-Rojas, Julio Garcia-Rodriguez, Jorge Inche-Mitma, Martin Campos-Martinez, Humberto Quispe-Peña, Julia Sobrino-Mesias, Sandro Olaya Cotera, Manuel Narro-Andrade, Freddy Huamani-Arredondo
- Mobile Application Success Prediction using Machine Learning 35-43
  S. Ramakrishnan, P. Kalaivani, B. Ashwin, S. Jaganeeshwar, S. Senthilkumar
- A secure mobile application for speech to text conversion using artificial intelligence techniques 44-53
  Kartik Bhasin, Arjun Goel, Gaurav Gupta, Sanjay Kumar Singh, Abhijit Bhowmick

## Workshop on Computer Vision and Machine Learning for Healthcare (CVMLH 2023)

- Preface
  Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 4 papers were accepted for this volume

- A Comparative Study of Heart Disease Prediction using Machine Learning 54-65
  Sreekumari S, Rajni Bhalla, Geetha Ganesan
- Method for teaching medical imaging diagnosis, applying Virtual Reality Techniques 66-71
  Luz Mendoza-Tucto, Wilver Auccahuasi, Kitty Urbano, Oscar Linares, Karin Rojas, Manuel Narro-Andrade, Julio Garcia-Rodriguez, Jorge Inche-Mitma, Martin Campos-Martinez, Humberto Quispe-Peña, Julia Sobrino-Mesias, Sara Meza-Morales, Juan Marin-Huapaya, Martha Romero-Echevarria
- Heart Disease Prediction using Machine Learning Method – A Review Article 72-82
  Sreekumari S, Rajni Bhalla, Geetha Ganesan
- Web system for the management of clinical laboratory test, applied to health facilities in rural areas 83-94
  Noelia Mantilla-Flores, Wilver Auccahuasi

2023-11-30: submitted by Geetha Ganesan, metadata incl. bibliographic data published under Creative Commons CC0
2024-02-07: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|