Buch, Englisch, Band 2690, 391 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 616 g
Second International Conference, CODE-AI 2025, Dubai, United Arab Emirates, April 7-8, 2025, Proceedings, Part II
Buch, Englisch, Band 2690, 391 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 616 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-19320-9
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
