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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.

Contributor(s): Goyal, Vikram [editor.] | Kumar, Naveen [editor.] | Bhowmick, Sourav S [editor.] | Goyal, Pawan [editor.] | Goyal, Navneet [editor.] | Kumar, Dhruv [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 14418Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XVIII, 262 p. 90 illus., 65 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031496011.Subject(s): 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 EducationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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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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.

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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