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It is with great pleasure to present the proceedings of the International Conference on Computational Intelligence and Mathematical Applications (ICCIMA 2023), held on 21-22 December 2023, at Panipat Institute of Engineering and Technology, Panipat. This conference brought scholars, researchers, professionals, and intellectuals together from diverse fields to exchange ideas, share insights, and foster collaborations in Optimization, Computational Intelligence and Mathematical Applications. The ICCIMA 2023 served as a platform for contributors to demonstrate their latest findings, discuss emerging trends, and explore innovations to the problems that different disciplines are currently experiencing. The conference’s scope and depth of themes reflect our community’s rich diversity of interests and levels of competence.
Gold Price Prediction in Stock Exchange using LSTM and Bi-LSTM Multivariate Deep Learning Approaches
Application of Deep Neural Networks in the Detection of Surface Defects of Magnetic Tiles through the Analysis of Digital Images
Design of Micro-Machined Frequency and Pattern Reconfigurable Antennas
Performance Evaluation of Junction-based Routing Protocols for Vehicular Ad hoc Networks (VANETs)
AI Invasion in Banking: Impact of Digital Banking Adoption on IN-Branch Banking from Banker’s Perspective
Random Forest Algorithm, Support Vector Machine for Regression Analysis
Cloud Based Virtual Reality Training Platform for Occupational Safety
Predicting Renewable Energy Demand using Machine Learning
Volume Controller using Hand Gestures
Blockchain and Data Security: Building Trust in a Digital World
Fermatean Fuzzy Distance Measures with Pattern Recognition application
Intelligent Threat Mitigation in Cyber-Physical Systems
Lane Detection Under Lousy Light Conditions
Data-Driven Precision Agriculture: Enhancing Crop Classification Accuracy and Agro-Environmental Analysis with Machine Learning
The Digital Dilemma—Exploring the Impact of Social Media on Mental Health
IoT-Blockchain Integration for Optimizing the Performance of E-Health Systems: A Framework Design
Issues Related to Accuracy and Performance during Classification Process in Sentiment Extraction from Image Description
Human Activity Recognition from Sensor Data using Machine Learning
Decoding Sentiments: A Comprehensive Review of Analytical Approaches and Associated Challenges
A Novel Outlook for Auto Coloring of Greyscale Images Using Python and OpenCV
Comparative Analysis of Machine Learning Algorithms used by Recommender Systems to Improve Marketing Strategies on E-commerce
Evolution of Recommender System: Conventional to Latest Techniques, Application Domains and Evaluation Metrices
Securing Cloud Data: A Comprehensive Analysis of Encryption Techniques and Recent Advancements
A IoT Based Student Registration Process in Education Sector
Unraveling the Nexus between Social Platforms and Psychological Well-Being
Rotten Apple Detection System Based on Deep Learning using Convolution Neural Network
Biometric System Integration in Public Health: Challenges and Solutions
Brain Tissue Segmentation Using Improvised 3D CNN Model on MRI Images
Utilizing Transfer Learning Technique with Efficient NetV2 for Brain Tumor Classification
Believer: The Spiritual App—A New Era of Belief in the Digital Age
On Premises Vs Cloud Data Center: A Detailed Survey
Survey and Observation of Task Scheduling in Cloud
A Comprehensive Review of Soft Computing Approaches based on Different Applications
Ocular Disease Detection in Retina Fundus Images Using Deep Learning: Methods, Datasets, and Performance Metrics
Comparative Analysis of Classical and Quantum Machine Learning for Breast Cancer Classification
Comparative Analysis of Machine Learning and Deep Learning Algorithms for the Detection of Hate Speech
Quantum Inspired Anomaly Detection for Industrial Machine Sensor Data
Challenges and Opportunities in IoT-based Smart Farming: A Survey Report
An Advanced Internet of Things-Based Health Monitoring System Assisted by Machine Learning
Artificial Intelligence and Machine Learning in Women’s Health: Unveiling PCOS with Image Analysis
Hybrid FUCOM-TOPSIS based Matching of Users’ Requirements with Life Insurance Policy Features
Technological Marvels: Pioneering PCOS Detection through the Lens of Machine Learning and Deep Learning
Transforming Visits: Empowering Guests with QR-Based E-Ticketing
Prioritizing the Barriers of EVs adaptation in India using Fuzzy TOPSIS Methodology
Arduino Based Vehicle Accident Alert System Using GPS
Comparative Analysis of Heart Failure Detection Using Quantum Enhanced Machine Learning
Empirical Analysis of Depression Detection Using Bat and Firefly Algorithm
Comparative Analysis of Optimisation Techniques for Depression Detection
The Impact of Augmented Reality: Applications in Education
Revolutionizing Attendance Management: Deep Learning and HOG-Based Smart System for Educational Institutions

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