Full Description
This open access book constitutes the proceedings of the Second International Conference on Data Science and Exploration in Artificial Intelligence, CODE-AI 2025, which took place in Dubai, UAE, during April 7-8, 2025.
.The 67 full papers included in these proceedings were carefully reviewed and selected from 750 submissions.The thematic scope of CODE-AI 2025 spanned intelligent computing methods (including genetic algorithms, simulated annealing, artificial fish-swarm algorithms, quantum computing and fuzzy logic), advanced AI applications (such as biometrics, pattern recognition, computer and machine vision, speech recognition and smart robotics) and data-science topics (deep learning, decision-making frameworks, IoT/edge data integration and visualization.
Contents
.- A Deep Learning Approach using Kernel Isolated Pyramid Pooled Visual Geometry Group for Pistachio Type Classification.
.- Personalized Route Recommendations for Enriching Travel Experiences.
.- Named Entity Recognition in Social Media Text Using DistilBERT Model.
.- Accurate Bitcoin Price Prediction using Machine Learning.
.- AI-Powered Food Supply Chain: Data-Driven Decision Making for Fraud Detection.
.- Revolutionizing the Emergency Department Triage: Positive Impact of Artificial Intelligence on Emergency Care Service and Challenges to Overcome.
.- Leveraging Natural Language Processing to Extract Influential Keywords for Business Intelligence in the Beauty and Personal Care Industry.
.- Eel and Grouper Lyrebird Optimizer-based Fractal Deep Spiking Residual Network for Breast Cancer Detection Using Mammogram Images.
.- Deep Reinforcement Learning and Proximal Policy Optimization for Jetbot Automation.
.- An Extreme Learning Machine-Based Approach for Geriatric Depression Prediction.
.- Methods of Machine Learning for Classifying Human Emotions Based on Electroencephalogram Signals under Different Audio-Visual Stimuli.
.- Optimizing Handwritten Alphabet Recognition: A Comparative Study of ML Algorithms for Assistive Applications.
.- Enhancing Stress Detection Accuracy Using Support Vector Machine Classifiers with Multimodal Data.
.- Optimization of Fuzzy Decision Systems for Efficient Waste Collection, Recycling, and Pollution Reduction.
.- Quantum-Inspired Deep Learning (Q-AI) for Voice Disorder Classification.
.- Oral cancer detection using deep learning based object detection techniques.
.- CNN based Image detection for Electrical panel installation: AI approach for EMI EMC rule check.
.- Energy-Efficient IoT-Enabled Wearable System for Early Cardiac Arrest Prediction.
.- LEVERAGING FINTECH INNOVATIONS IN ADVANCING SGDs- ADOPTION OF HYBRID MODEL Approach to Forecast ESG Indices.
.- Performance Evaluation of Quantum Machine Learning Models for Breast Cancer Classification: A Comparative Study.
.- Leveraging Machine Learning in Detection of Healthcare Insurance Fraud.
.- A Framework for Automatic Summarization of Text using Text-Rank Algorithm with ROUGE and BLEU Score.
.- HealthCare Diagnostics with IoT and Block Chain Integration.
.- Impact of GenAI Tool usage in Assessment of Engineering Courses.
.- Enhancing Chemistry Education with Large Language Models: Performance and Justification Analysis of ChatGPT and ChemCrow.
.- Uncertainty-Driven Concept Drift Detection and Adaptation Using Bayesian Neural Networks.
.- Analyzing Camera Application Launch Latency for Enhanced User Experience.
.- Novel Fuzzy Logic Technique for Adaptive Traffic System.
.- Deep Inception: Cotton Leaf Disease Classification with Convolutional Precision Neural Network.
.- Motorsports Performance Optimization via Integrated Telemetry Analytics, Statistical Modeling, and Hybrid Classical-Quantum Learning.
.- Comparative Analysis of Traditional CNNs and Residual Networks for Parkinson's Disease Prediction using Hand-drawn Pattern Images.
.- Expert-Driven AI: Empowering Models with Agentic Adaptation and Transparent Explainability.
.- A Novel Deep Learning Approach for Hate Speech Detection on Social Platforms.
.- Classification of Cardiovascular Abnormalities through Optimizable Regression Analysis and Feature Engineering.
.- Programming Language Translation: A Comprehensive Review of Techniques and Applications.
