Data Science and Exploration in Artificial Intelligence

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

AvShreyas J,Gururaj H L

Häftad, Engelska, 2026

Del 2689 i serien Communications in Computer and Information Science

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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:2026-06-12
Mått:155 x 235 x 21 mm
Vikt:560 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:348
Förlag:Springer Nature Switzerland AG
ISBN:9783032193179

Utforska kategorier

Artificiell intelligens inom Data och IT
Systemvetenskap och AI inom Data och IT

Innehållsförteckning

- 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.

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