Data Science and Exploration in Artificial Intelligence

Second International Conference, CODE-AI 2025, Dubai, United Arab Emirates, April 7–8, 2025, Proceedings, Part II

AvShreyas J.,Gururaj H . L

Häftad, Engelska, 2026

Del i serien Communications in Computer and Information Science

459 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2026-07-10
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:351
Förlag:Springer Nature Switzerland AG
ISBN:9783032193209

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Innehållsförteckning

.- 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.