Progress in Artificial Intelligence

23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part III

AvManuel Filipe Santos,José Machado

Häftad, Engelska, 2024

Del 14969 i serien Lecture Notes in Computer Science

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Beskrivning

The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3–6, 2024. The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions.

Produktinformation

Utgivningsdatum:2024-11-16
Mått:155 x 235 x 22 mm
Vikt:610 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:376
Förlag:Springer International Publishing AG
ISBN:9783031735028

Utforska kategorier

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

Innehållsförteckning

Generative AI – Foundations and Applications (GenAI).- Large Language Model for Querying Databases in Portuguese.- A Novel Integration of Federated Learning and LSTM for Synthetic Time Series Generation.- Assessment on the Effectiveness of GitHub Copilot as a Code Assistance Tool: An Empirical Study.- AICIS: A System for Identifying AI Contribution in Textual Content.- Intelligent Robotics (IROBOT).- AIMSM - A Mechanism to Optimize Systems with Multiple AI Models: A Case Study in Computer Vision for Autonomous Mobile Robots.- Defect Detection in the Painting of Combustion Device Covers using the Deflectometry Method and YOLOv8.- Information-Oriented and Energy-Aware Path Planning for Small Unmanned Aerial Vehicles.- Pollinationbots - A Swarm Robotic System for Tree Pollination.- Knowledge Discovery and Business Intelligence (KDBI).- Extensible Data Ingestion System for Industry 4.0.- Next Location Prediction with Time-Evolving Markov Models over Data Streams.- Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization.- A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities.- A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models.- Optimising Dialogue Flow Discovery.- BI-Enabled Web Visualization of In-Place Inclinometer Data for Geotechnical Applications.- An Empirical Evaluation of DeepAR for Univariate Time Series Forecasting.- Natural Language Processing, Text Mining and Applications (TeMA).- Meta-prompting Optimized Retrieval-augmented Generation.- Pseudo-Semantic Graphs for Generating Paraphrases.- Compositionality and Ambiguity in Multiword Expressions: A Dataset for the Evaluation of Language Models in Galician.- Bypassing the Nuances of Portuguese Covert Hate Speech through Contextual Analysis.- Sequence Labeling for Pun Location and Detection in Portuguese.- Open Sentence Embeddings for Portuguese with the Serafim PT* Encoders Family.- WordNet Expansion with Bilingual Word Embeddings and Neural Machine Translation.- A Galician-Portuguese Generative Model.-Assessing the Trustworthiness of Large Language Models on Domain-specific Questions.- Data-Centric AI – Solutions and Emerging Technologies (DCenAI).- Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study.-Chatbot Decision Support with Intent-Rich Structures in the Hospitality Industry.- Meta TadGAN: Time Series Anomaly Detection Using TADGAN with Meta-Features.- Context-aware Deep Forecasting: Principles for the Nation-wide Management of Blood Products.