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1. |
Record Nr. |
UNINA9910698706903321 |
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Titolo |
What every member of the trade community should know about [[electronic resource] ] : classification and entry requirements of alcoholic beverages and spirits |
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Pubbl/distr/stampa |
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[Washington, D.C.] : , : U.S. Customs and Border Protection, , [2008] |
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Descrizione fisica |
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26 pages : digital, PDF file |
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Collana |
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An informed compliance publication |
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Soggetti |
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Tariff - Law and legislation - United States |
Imports - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed on April 27, 2009). |
"February 2008." |
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2. |
Record Nr. |
UNINA9910727490203321 |
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Autore |
Acito, Alfredo |
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Titolo |
La dottrina dello Stato nel pensiero di Vincenzo Cuoco : l'uomo, le masse, le rivoluzioni, lo stato, le leggi, l'agricoltura, la storia, la religione : contributo allo studio della concezione organica del pensiero politico italiano nei secoli 18. e 19. / Alfredo Acito |
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Pubbl/distr/stampa |
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Descrizione fisica |
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384, IX p., [1] c. di tav. : ritr. ; 20 cm. |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910767569003321 |
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Titolo |
Big Data and Artificial Intelligence : 11th International Conference, BDA 2023, Delhi, India, December 7–9, 2023, Proceedings / / edited by Vikram Goyal, Naveen Kumar, Sourav S. Bhowmick, Pawan Goyal, Navneet Goyal, Dhruv Kumar |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (274 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 14418 |
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Disciplina |
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Soggetti |
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Data mining |
Machine learning |
Computers, Special purpose |
Social sciences - Data processing |
Education - Data processing |
Data Mining and Knowledge Discovery |
Machine Learning |
Special Purpose and Application-Based Systems |
Computer Application in Social and Behavioral Sciences |
Computers and Education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Keynote Lectures -- Representation Learning for Dialog Models -- Sparsity, modularity, and structural plasticity in deep neural networks -- Artificial Intelligence in Healthcare -- Tuberculosis disease diagnosis using controlled super resolution -- GREAT AI in Medical Appropriateness and Value-Based-Care -- Large Language Models -- KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models -- SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics Q&A -- Revolutionizing High School Physics Education: A Novel Dataset -- Context-Enhanced Language Models for Generating Multi-Paper Citations -- GEC-DCL: Grammatical Error Correction Model with Dynamic Context Learning for Paragraphs & Scholarly Papers -- |
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Data Analytics for Low Resource Domains -- A Deep Learning Emotion Classification Framework for Low Resource Languages -- Assessing the Efficacy of Synthetic Data for Enhancing Machine Translation Models in Low Resource Domains -- Artificial Intelligence for Innovative Applications -- Evaluation of Hybrid Quantum Approximate Inference Methods on Bayesian Networks -- IndoorGNN: A Graph Neural Network based approach for Indoor Localization using WiFi RSSI -- Ensemble-Based Road Surface Crack Detection: A Comprehensive Approach -- Potpourri -- Fast similarity search in large-scale Iris databases using high-dimensional hashing -- Explaining Finetuned Transformers on Hate Speech Predictions using Layerwise Relevance Propagation -- Multilingual Speech Sentiment Recognition using Spiking Neural Networks -- FopLAHD: Federated optimization using Locally Approximated Hessian Diagonal -- A Review of Approaches on Facets for Building IT-based Career Guidance Systems. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 7–9, 2023. The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri. . |
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