Advances in Computational Intelligence and Its Applications

It is with great pleasure and enthusiasm that we welcome you to the International Conference on Advances in Computational Intelligence and its Applications (ICACIA-2023). In the ever-evolving landscape of technology, computational intelligence stands as a cornerstone, shaping the future of diverse fields and industries. This conference serves as a nexus for researchers, academicians, and industry experts to converge, exchange ideas, and explore the latest advancements in the realm of computational intelligence.

Table of Contents:
1. A Non Conventional Pre-Processing Method for Financial Risk Analysis Data 2. An Analytical Study of Sentimental Analysis During COVID-19 Pandemic 3. SQL Injection Attacks: Exploiting Vulnerabilities in Database Systems 4. Energy Efficient Clock Synchronization Method in IoT Applications 5. Farm to Home: An e-commerce Application for Farmers and Consumers 6. Smart Farming: The Future of Agriculture 7. Literature Review Energy Efficient i Street Lighting System 8. Robotics in Medical and Health Care: A Critical Review 9. Automatic Speed Control of Vehicles at Accident Zone10. Crime Detection Using Vehicle Number Plate 11. Automated Speech Analysis for Early Identification and Prediction of Depression: A Comprehensive Study 12. An Ensemble Approach for Pneumonia Detection from Chest X-rays 13. A Novel Concurrent Data Collection Protocol for IoT Networks 14. Implementation of Converting Indian Sign Language into Indian Language Using IoT-based Machine Learning Algorithms 15. A Comprehensive Survey on Deep Fake Object Creation and Detection: Challenges, and Future Directions 16. Development of Renal Tumor Accuracy Prediction Model Using Machine Learning Algorithms 17. Attendence System based on Viola-Jones Algorithm and PCA 18. Encipher Image Transmission Through MIMO System with Rayleigh Fading Environment Using AES Encryption Algorithm 19. A Comparative Study of Stock Return’s Analysis and Prediction with the Impact of Macroeconomic Variables Using SVM and LSTM 20. Machine Learning Model for Improving the Overall Equipment Effectiveness in Industrial Manufacturing Sites 21. Hashgraph and Fog Computing Based Novel Framework for Online Teaching-Learning and Content Delivery 22. A Review of Churn Prediction in Telecommunication Industry 23. Speech Emotion Recognition (SER) on Live Calls While Creating Events 24. Predicting Malignancy from Breast Histopathological Images Using Deep Neural Networks and Baseline Classifiers 25. Framework for Home Layout Design by Semantic Parsing of Text 26. URL Phishing Prediction with GUI Implementation Using Machine Learning 27. Smart Farming with Fire Security System 28. Generation of 3D Images from Single View 2D Images Using Autoencoder 29. Attention Based Bidirectional LSTM Model for Data-to-text Generation 30. A Conceptualized Study on Blockchain Technological Algorithms, Cyber-Attacks and Application Perceptions 31. Computation of Environmental Deterioration by Observation of Annual NDVI Changes32. Comparative Analysis of Deep Learning Techniques for Fast Detection of COVID-19 Using CXR Images 33. Accident Evasion and Warning System 34. Crowd Counting for Risk Management Using Deep Learning 35. Tamil Character-Size Reduction Method for Storage of Large Amount of Data 36. Stochastic Modelling and Real Time Solution for SCPP Problem for the Internet of Vehicles (IoV) 37. Security Level Detection of Cryptosystems Using Machine Learning 38. Colorization of Black and White Image and Video Using CNN 39. Detection Mechanism for the Analysis of Malicious Script to Safeguard the Networked Systems 40. An Electromyography Based System for Sitting and Walking Postures 41. Comparison of Latency Minimisation Techniques and Performance Evaluation for Application Mapping in RTNoC (Real Time Network on Chip) 42. Classification of Customers Using Machine Learning 43. Phishing Website Detection Using Machine Learning 44. VANET Routing Protocol Using Particle Swarm Optimization