Data Science and Exploration in Artificial Intelligence

Nyhet

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

Häftad, Engelska, 2026

AvShreyas J,Gururaj H L,Sophia Rahaman,Keshav Kaushik,Aryan Chaudhary,Dayananda P

899 kr

Kommande

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

Utgivningsdatum2026-04-24
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor370
FörlagSpringer Nature Switzerland AG
ISBN9783032193209

Tillhör följande kategorier

Samhälle och kultur inom Samhalle och politik
Artificiell intelligens inom Data och it
Systemvetenskap och AI inom Data och it

.- 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.