Cover image for Big Data and Artificial Intelligence 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings
Title:
Big Data and Artificial Intelligence 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings
Author:
Goyal, Vikram. editor.
ISBN:
9783031496011
Edition:
1st ed. 2023.
Physical Description:
XVIII, 262 p. 90 illus., 65 illus. in color. online resource.
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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