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Big Data and Artificial Intelligence 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings
Title
Big Data and Artificial Intelligence [electronic resource] : 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.
ISBN
9783031496011
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XVIII, 262 p.) 90 illus., 65 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
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. .
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
December 04, 2023
Series
Lecture Notes in Computer Science, 14418
Contents
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
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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