LEADER 01374nam2 22002771i 450 001 UON00432370 005 20231205104913.396 100 $a20131029d1894 |0itac50 ba 101 $agot 102 $aDE 105 $a|||| 1|||| 200 1 $aGoethes naturwissenschaftliche Schriften. 10.: Zur Naturwissenschaft überhaupt$eMineralogie und Geologie. 2. / Johann Wolfgang von Goethe 210 $aWeimar$cH. Böhlau$d1894 215 $aVIII, 282 p.$d20 cm. 461 1$1001UON00431930$12001 $aGoethes Werke$fJohann Wolfgang von Goethe$gherausgegeben im Auftrage der Grossherzogin Sophie von Sachsen$1205 $aWeimar : H. Böhlau$b1890$1210 $av$1215 $a20 cm.$vII.10.2. 606 $aLetteratura tedesca$xSec. 18.-19.$3UONC061938$2FI 620 $aDE$dWeimar$3UONL000698 676 $a830.6$cLetteratura tedesca. Periodo classico, 1750-1830$v21 700 1$aGOETHE$bJohann Wolfgang : von$3UONV020096$0151776 712 $aBöhlau$3UONV246149$4650 801 $aIT$bSOL$c20251003$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00432370 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI TED O. C. II GOE 10 $eSI ST 3749/74 5 10 $sBuono 996 $aGoethes naturwissenschaftliche Schriften. 10.: Zur Naturwissenschaft überhaupt$91186333 997 $aUNIOR LEADER 06264nam 22006975 450 001 996630866603316 005 20250220173437.0 010 $a9783031735035 010 $a303173503X 024 7 $a10.1007/978-3-031-73503-5 035 $a(MiAaPQ)EBC31783882 035 $a(Au-PeEL)EBL31783882 035 $a(CKB)36583475800041 035 $a(DE-He213)978-3-031-73503-5 035 $a(OCoLC)1472988409 035 $a(EXLCZ)9936583475800041 100 $a20241115d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProgress in Artificial Intelligence $e23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3?6, 2024, Proceedings, Part III /$fedited by Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (395 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14969 311 08$a9783031735028 311 08$a3031735021 327 $aGenerative 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. 330 $aThe 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3?6, 2024. The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections: Volume I: AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS). Volume II: Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI). Volume III: Generative AI ? Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI ? Solutions and Emerging Technologies (DCenAI). 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14969 606 $aArtificial intelligence 606 $aComputer networks 606 $aApplication software 606 $aNatural language processing (Computer science) 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aComputer and Information Systems Applications 606 $aNatural Language Processing (NLP) 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aNatural language processing (Computer science) 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aComputer and Information Systems Applications. 615 24$aNatural Language Processing (NLP). 676 $a006.3 700 $aSantos$b Manuel Filipe$01782737 701 $aMachado$b Jose?$00 701 $aNovais$b Paulo$0762363 701 $aCortez$b Paulo$0524960 701 $aMoreira$b Pedro Miguel$01782738 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996630866603316 996 $aProgress in Artificial Intelligence$94309241 997 $aUNISA