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https://ceur-ws.org/Vol-3706/Preface.pdf
Workshop on Advances in Computational Intelligence
(ACI-2023)
co-located with the 2nd International Conference on
Artificial Intelligence and Data Science (ICAIDS-2023)
https://www.icaids2023.org/
Proceedings
Sreyas Institute of Engineering and Technology,
Hyderabad, Telangana, India, 29th-30th December 2023
Edited by
Prateek Agrawal1
Ashwani Kumar2
Vishu Madaan3
Vladislav Kashansky4
Pawan Kumar Verma 5
1 Lovely Professional University, Punjab, INDIA
2 Shreyas Institute of Engineering and Technology, India
3 Lovely Professional University, Punjab, INDIA
4 Eteronix GmbH, Austria
5 Sharda University, India
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
Front Matter ACI-2023
Prateek Agrawal1 , Ashwani Kumar2 , Vishu Madaan3 , Vladislav Kashansky4 and
Pawan Kumar Verma5
1
Lovely Professional University, Punjab, INDIA
2
Shreyas Institute of Engineering and Technology, INDIA
3
Lovely Professional University, Punjab, INDIA
4
Eteronix GmbH, AUSTRIA
5
Sharda University, INDIA
Abstract
The ACI-2023 has been held in Dec 2023 as a special workshop under the umbrella of the 2nd International
Conference on Artificial Intelligence and Data Science (ICAIDS-2023). 100+ experts from more than 20
countries were the part of ICAIDS-2023 conference and workshop committees. The workshop broadly
focused on two thematic areas: i) Machine learning and deep learning approaches in trans-disciplinary
applications, ii) Cloud Computing, Security and IOT. The rigorous and peer review selection process
ensured that only high quality manuscripts in the above mentioned themes are accepted for final
publication. We received a total number of 56 submissions in ACI-2023 with 24 papers finding their place
in the final workshop proceedings.
Keywords
Computational Intelligence, Machine learning, Artificial Intelligence, Deep Learning, Internet of Things,
Sustainable Computing, Cloud Computing, Data Security
Preface
Computational Intelligence (CI) spans a broad spectrum of approaches and methodologies, incorporating
theories, theorems, proofs, axioms, applications, and comparative analyses of computationally driven
paradigms. It offers computational resolutions to multifaceted challenges across various domains, ranging
from databases to exa-scale systems, homogeneity to heterogeneity, volume to velocity, and variety to
veracity in datasets. In today’s landscape, where Exabytes of data are generated daily, there’s a pressing
need for intelligent methodologies and tools that are robust and adaptable enough to sift through this
vast sea of data, extracting meaningful insights to aid users in making swift and informed decisions.
Given these imperatives, CI, with its conceptual frameworks, practical applications, and meta-heuristic
approaches, holds significant relevance in addressing real-world problems. This workshop aims to
document and disseminate the contributions of researchers, academics, and industry experts in the field
of CI. It serves as a pivotal platform for the exchange of information, fostering tangible advancements in
scientific output. Specifically, it will delve into key areas such as cloud computing, IoT, security, machine
learning, deep learning, and AI in healthcare, showcasing how CI methodologies can be leveraged to
tackle challenges and drive innovation in these domains.
ACI’23: Workshop on Advances in Computational Intelligence at ICAIDS 2023, December 29-30, 2023, Hyderabad, India
Envelope-Open dr.agrawal.prateek@gmail.com (P. Agrawal); dr.vishumadaan@gmail.com (V. Madaan)
GLOBE https://www.drprateekagrawal.com/ (P. Agrawal)
Orcid 0000-0001-6861-0698 (P. Agrawal); 0000-0002-2100-900X (A. Kumar); 0000-0002-9127-4490 (V. Madaan);
0000-0001-9437-1790 (V. Kashansky); 0000-0002-2189-3974 (P. K. Verma)
© 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Table of Contents
1 Development of a Knowledge-Based System for Diagnosis and Treatment of
Obesity.
Abebaw Agegne, Ayodeji Olalekan Salau, Ayalew Belay, Anupam Singh,
Nigus Wereta Asnake and Sepiribo Lucky Braide . . . . . . . . . . . 6–23 . . . . . 5
2 Real-Time Hand Gesture Recognition System.
Aarti, Swathi Gowroju, Raju Pal, Vaddhiraju Swathi, Shirisha Yerraboina
24–34 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
3 Enhanced Detection of Epileptic Seizure Using Supervised and Unsupervised
Algorithms.
Ananthakrishnan Gopalakrishnan, Sharon Priya Surendran, Aisha Banu Wa-
hab, Aarthi Gopalakrishnan, Yogesh Kumar Balaji . . . . . . . . . . 35–46 . . . . 5
4 An Anomaly-based Network Intrusion Detection System Using Ensemble
Feature Integration with Deep Learning Techniques.
Srinivas Akkepalli, Sagar Kadapa . . . . . . . . . . . . . . . . . . 47–57 . . . . . . . . . 5
5 Advancements in Text-to-Image Generation: A Comparative Study of Model
Architectures, Datasets and Performance Metrics.
Tejas Goyal, Kaveesh Khattar, Kubtoor Patel Dhruv, Aditya Hombal, Ma-
matha Hosalli Ramappa . . . . . . . . . . . . . . . . . . . . . . . 58–77 . . . . . . . . . . . . 5
6 Survey of Early Melanoma Symptoms in Medical Dermoscopy Using Deep
Learning Methods.
Gururaj Nase, Arun Arthanareeswaran . . . . . . . . . . . . . . . .78–90 . . . . . . . . 5
7 A Survey on Underwater Image Segmentation and Image quality Enhance-
ments using Deep Learning Models.
Veeresh, Thillaigovindan Senthil Kumar . . . . . . . . . . . . . . .91–102 . . . . . . . 5
8 Advancing Legal NLP: A Comparative Study of Transformer-Based Models
for Ambiguous Clause Detection in Legal Documents.
Vrishani Shah . . . . . . . . . . . . . . . . . . . . . . . . . . . 103–112 . . . . . . . . . . . . . . 5
9 Deepfake Image Detection & Classification using Conv2D Neural Networks.
Debasish Samal, Prateek Agrawal, Vishu Madaan . . . . . . . . . 113–128 . . . . 5
10 DFDA: An Analysis of Deep Learning Models to Detect Deepfake Videos.
Muleef Bhat, Prateek Agrawal, Charu Gupta . . . . . . . . . . . 129–140 . . . . . 5
11 Integrating Language Models and Machine Learning for Crop Disease De-
tection for Farmer Guidance.
Vishu Madaan, Gagan Bindal, Sandeep Singh, Shiv Kumar Yadav, Ankur
Singh, Piyush Sinha, Dimple Nagpal . . . . . . . . . . . . . . . . 141–154 . . . . . . . . 5
3
12 Systematic Analysis of Object Detection for Security Camera Using Machine
Learning.
Shubham Swarup Pradhan, Ghanshyam Kumar Yadav, Dibyajyoti Dhall,
Raju Kumar Singh, Dharmveer Singh, Vishal Rai, Gagandeep Kaur, Anshu
Vashisth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155–164 . . . . . . . . . . . . . . . 5
13 Biometric Authentication System for Access Control.
Jaimit Patel, Anubhav, Ayush Kumar Singh, Rachit Kumar Tiwari, Abhi
Singh, Bhupinder Kaur . . . . . . . . . . . . . . . . . . . . . . 165–176 . . . . . . . . . . . 5
14 Smart City Web Application for Business, Healthcare & Education.
Sourjadip Pramanik, Vaibhav Kadam, Vrinda Parkhi . . . . . . . 177–189 . . . 5
15 Intelligent and Secured Cloud Service Management Using Smart Data Hash-
ing Algorithm.
Keturu Madan Mohan, Ponaganti Srinivasa Rao, SriRamakavacham Prudhvi
Raj, Chennuri Nagendra Sai . . . . . . . . . . . . . . . . . . . . 190–199 . . . . . . . . . . 5
16 Evaluating Mental Well-being through Wearable Sensors Utilizing Machine
Learning.
Aarti, Swathi Gowroju, Raju Pal, Pushpendra Kumar Rajput . . . 200–298 . 5
17 Impact of Internet of Things Applications in Smart Villages.
Prashant Kumar Sinha, Muhammad Amir Khusru Akhtar, Ashwani Kumar
210–222 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
18 Malware Detection in IoT Enabled Multimedia Environment Using the Feline
Cad-based Deep CNN.
Seelam Sai Satyanarayana Reddy, Harikrishna Bommala . . . . . . 223–233 . . 5
19 Smart Traffic Signal Management for Urban Efficiency and Safety: Leverag-
ing Vehicle Density and Emergency Prioritization.
Subrata Paul, Anirban Mitra, Anupam Singh, Shivnath Ghosh, Pronaya
Bhattacharya . . . . . . . . . . . . . . . . . . . . . . . . . . . 234–246 . . . . . . . . . . . . . . 5
20 Smart Hospital Setups with IoT-Enabled Connectivity of Artificial Intelli-
gence System.
Vella Satyanarayana, Mahesh Kumar Singh, Robin Varghese . . . . 247–257 . 5
21 Seamless Smart Home Control Using Mobile App with Voice and Auto
Modes.
Athifa Shaik, Chilamakuru Veera Sai Mahidhar, Pitla Rishitha, Sai Dinesh
Lankipalli, Satyasai Kilaru, Chennur Krishna Prasad, Bhupinder Kaur 258–269 5
22 Sub-threshold Leakage Current Differential Age Sensor for Identifying Reused
Integrated Circuits.
Mahesh Kumar Singh, Palaka Uma Maheswara Rao, Vella Satyanarayana
270–281 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
23 An Innovative Crypto-Stego Technique for Secure and Privacy-Preserving on
Reliable Transmission Data.
Harikrishna Bommala, Seelam Sai Satyanarayana Reddy . . . . . . 282–290 . . 5
4
24 Safeguarded DNA-based Information Storage Framework for Eco-friendly
Data Centers.
Pronaya Bhattacharya, Sudip Chatterjee, Anupam Singh . . . . . 291–302 . . 5
5