{"product_id":"progress-in-artificial-intelligence-9783031735028","title":"Progress in Artificial Intelligence","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eGenerative AI  Foundations and Applications (GenAI).- \u003c\/strong\u003eLarge 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.- \u003cstrong\u003eIntelligent Robotics (IROBOT).- \u003c\/strong\u003eAIMSM - 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.- \u003cstrong\u003eKnowledge Discovery and Business Intelligence (KDBI).- \u003c\/strong\u003eExtensible 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.- \u003cstrong\u003eNatural Language Processing, Text Mining and Applications (TeMA).- \u003c\/strong\u003eMeta-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.- \u003cstrong\u003eData-Centric AI  Solutions and Emerging Technologies (DCenAI).- \u003c\/strong\u003eLag 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195413029207,"sku":"9783031735028","price":59.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/progress-in-artificial-intelligence-9783031735028","provider":"Book Curl","version":"1.0","type":"link"}