| Vol-3146 urn:nbn:de:0074-3146-4 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 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).

# WAI 2022
Workshop on Artificial Intelligence

### Proceedings of the Workshop on Artificial Intelligence (WAI 2022)
Co-located with Computing Congress (CC 2022)

### Chennai, India,January 28 – 29, 2022 (Later changed to Online due to COVID-19 Pandemic).

Edited by

### Valentina Emilia Balas *
Geetha Ganesan **

* Aurel Vlaicu University of Arad, Arad, Romania
** Advanced Computing Research Society, Chennai, Tamilnadu, India

## Table of Contents

- Preface
  Summary: There were 11 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 2 as regular papers and 4 as short papers.

### Accepted Papers

- Machine Learning Based Drug Recommendation from Sentiment Analysis of Drug Rating and Reviews 01-13
  Kodepogu Koteswara Rao, Kona Sravya, Kadamati Jaya Phanidra Sai, Gummadi Giri Ratna Sai, Geetha Ganesan
- Ishihara Test Application through Virtual Reality Technology 14-19
  Patricia Figueroa Garrido, Wilver Auccahuasi, Lucas Herrera, Sonia Mori, José Chombo, Sandra Meza, Christian Ovalle, Pedro Flores Peña, Yuly Montes Osorio, Marco Felippe, Moises Tongo, Francisco Hilario, Milner Liendo, Esteban Medina Rafaile
- SID-RIS: Cascaded Intrusion Detection System for Industrial Internet of Things 20-32
  P.L.S. Jayalaxmi, Rahul Saha, Lalit Garg, Gulshan Kumar
- A Bibliographic Survey of Sentiment Classification using Hybrid Ensemble-based Machine Learning Approaches 33-38
  Rajni Bhalla, Amit Sharma, Geetha Ganesan
- Method for the Registration and Analysis of Aerial Images, applied to the Architecture of Construction Sites, using Low-Cost Devices 39-47
  Aly Auccahuasi, Wilver Auccahuasi, Lucas Herrera, Teddy Esteves, Richard Aguilar Paredes, Sandra Meza, Christian Ovalle, Karin Rojas, Marco Felippe, Pedro Flores Peña, Yuly Montes Osorio, Francisco Hilario, Milner Liendo, Esteban Medina Rafaile
- Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases 48-54
  Wilver Auccahuasi, Lucas Herrera, Karin Rojas, Kitty Urbano, Brayan Peláez, Pedro Flores Peña, Yuly Montes Osorio, Grisi Bernardo, Madelaine Bernardo, Sandra Meza, Christian Ovalle, Francisco Hilario, Milner Liendo, Fernando Sernaque

2022-05-29: submitted by Geetha Ganesan, metadata incl. bibliographic data published under Creative Commons CC0
2022-06-03: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|