Publications
Research publications and academic contributions in machine learning and deep learning
Deep Learning for Folk Dance Classification: An Analysis of ConvLSTM and LRCN Architectures
Joel Thaduri, S Chakradhar Amingad, Ganesh B Regulwar, Vedha Thirmanpally, J Goutham Kumar Reddy
IEEE Conference Publication
2024
DOI: 10.1109/ICACCS.2024.10862588
Abstract:
This paper presents a comprehensive analysis of deep learning architectures for folk dance classification, specifically comparing ConvLSTM and LRCN approaches. The research contributes to cultural heritage preservation through automated dance recognition systems.
Keywords:
Sentiment Analysis: A Machine Learning Perspective
Nadimpalli Madana Kailash Varma, Sri Harsh Mattaparty, Shifa Ismail, Joel Thaduri, Gagan Deep Arora, AnandKumar B
IEEE Conference Publication
2024
DOI: 10.1109/ICACCS.2024.10698402
Abstract:
A comprehensive study on sentiment analysis from a machine learning perspective, exploring various approaches and methodologies for understanding emotional context in textual data.