• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

10% rabatt på allt med kod NYSTART10 →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare
    Logotyp för Bokus
    Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
    bokus @ CookiesAnpassa cookiesIntegritetspolicyKöpvillkor
    Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
    1. Data och IT
    2. Systemvetenskap och AI

    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

    839 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    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. 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).

    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.