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