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Big Data and Artificial Intelligence

11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings
BuchKartoniert, Paperback
262 Seiten
Englisch
Springererschienen am04.12.20231st ed. 2023
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR62,05
E-BookPDF1 - PDF WatermarkE-Book
EUR60,98

Produkt

KlappentextThis 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.
Details
ISBN/GTIN978-3-031-49600-4
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2023
Erscheinungsdatum04.12.2023
Auflage1st ed. 2023
ReiheLecture Notes in Computer Science
Seiten262 Seiten
SpracheEnglisch
IllustrationenXVIII, 262 p. 90 illus., 65 illus. in color.
Artikel-Nr.55580371

Inhalt/Kritik

Inhaltsverzeichnis
âKeynote 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.- 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.mehr

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