Data Science and Exploration in Artificial Intelligence

Nyhet

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

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

Utgivningsdatum2026-06-11
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor315
FörlagSpringer Nature Switzerland AG
ISBN9783032193179

Tillhör följande kategorier

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

- A Machine Learning Approach for Intrusion Detection Systems..- Automated Deepfake Speech Detection Using MFCC Features, Text-to-Speech Synthesis Models, and Random Forest Classifier: A Comparative Study..- Third Eye – The AI-Powered Vision and Voice Assistance..- A Deep Ensemble Learning Model for Prediction of Attrition – Effect of Unbalanced Dataset..- Skin Cancer Detection Based on Machine Learning Models..- Quantum Diagnosis: Revolutionizing Skin Tumors Classification with Quantum Machine Learning..- Flood Depth Prediction using Temporal Attention Recurrent Graph Convolutional Neural Network for IoT-Enabled Smart Cities..- Cancer Classification and Analysis through an Explainable Deep Learning Framework..- BINARY CLASSIFICATION OF GALAXIES USING MACHINE LEARNING AND DEEP LEARNING..- Convergence of Dynamic Windows in Feature Extraction and Deep Autoencoders to Effectively Model Facial Expression Classification Problem..- AI Driven Canine Dog Nose Print Recognition..- AI BASED LSTM-BERT Model For False News Detection..- Automatic Cataract Identification and Classification Using InceptionV3..- A novel approach to human fatigue detection based on deep learning..- Optimised Random Forest Regressor Integrated with Explainable AI(ORF-XAI) for Predicting Student Study Hours to Enhance Academic Performance..- AI-ML Powered Customer Support Chatbot Utilizing Feedforward Neural Network (FFNN) Preprocessing Technique..- Real-Time Tiger Intrusion Detection System Using Machine Learning and IoT..- Eye Fatigue Detection and Mitigation Strategies Using Deep Learning Techniques..- AGRI-SURE: Agricultural Sustainability through disease detection and automated insurance using Deep Learning..- Data Exploration in IoT and Edge Environments: A Lightweight Deep Learning Model for Botnet Attack Detection..- Deep Learning Based Arecanut Leaf Classification: A Scalable Framework for Early Disease Detection..- Explainable AI to Identify Feature Importance in EEG Data for Mild Traumatic Brain Injury..- Comparative Analysis of Fine-Tuned CNNs and Segmentation Techniques for Multiclass Skin Cancer Classification..- Enhanced Deep Learning Framework with Vision Transformer and Slime Mould Optimization for Lung Cancer Detection in CT Images..- Cellular Automata Based Brain Tumor Segmentation from Magnetic Resonance Images..- Role of Artificial Intelligence in Cyber Security: Systematic Study on Attacks, techniques and tools..- Content-Based Smart E-Mail Dispatcher Using Large Language Models..- Dynamic Delay-Based Rapid Serial Visual Presentation Using Linguistic Features..- Agentic AI Factories: Constructing Intelligent Workflows for Data-Driven Decision Making..- Face – Orientation based Cattle Breed Detection using CNN Model..- AI-Enabled Quantum-Resistant Multipath Crypto-Graph Protocol (QR-MCP) for Secure Communications in Post-Quantum Networks..- Benchmarking Deep Learning Architectures with Monte Carlo Dropout for Drift-Resilient Prediction.