4 papers
Personalized Federated Sparse Adaptation of Time-Series Foundation Models
Priyanka Nihalchandani, Naman Srivastava, Varun Ojha +1
Federated adaptation of time-series foundation models (TSFMs) is attractive for building energy forecasting because meter data are private, distributed, and highly non-IID. However…
Extending the Frontiers of QNLP Beyond English: Grammar-Sensitive Pipeline for Hindi Sentiment Classification Using Compositional Quantum Models
Gautami Sanjay Naik, Rishi Koushik Reddy Thippireddy, Naman Srivastava +4
Advancements in Natural Language Processing (NLP), whether on classical or quantum platforms, have predominantly focused on English due to its widespread use and abundant linguisti…
Comparison of Segmentation Methods in Remote Sensing for Land Use Land Cover
Naman Srivastava, Joel D Joy, Yash Dixit +2
Land Use Land Cover (LULC) mapping is essential for urban and resource planning, and is one of the key elements in developing smart and sustainable cities.This study evaluates adva…
An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery
Soham Mukherjee, Yash Dixit, Naman Srivastava +5
The integration of fine-scale multispectral imagery with deep learning models has revolutionized land use and land cover (LULC) classification. However, the atmospheric effects pre…