2 citations · 2 across the 7 of their papers we have counts for
8 papers
ENAS: An Efficient Hardware-Aware Neural Architecture Search Framework for TinyML on Resource-Constrained Microcontrollers
Mohd Moin Khan, Naman Srivastava, Pandarasamy Arjunan
We present \textbf{ENAS}, a hardware-aware Neural Architecture Search (NAS) framework that combines a static feasibility check, a cell-based search space supporting standard, depth…
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…
Cross Pseudo Supervision Framework for Sparsely Labelled Geospatial Images
Yash Dixit, Naman Srivastava, Joel D Joy +3
Land Use Land Cover (LULC) mapping is a vital tool for urban and resource planning, playing a key role in the development of innovative and sustainable cities. This study introduce…
Enabling Quantum Natural Language Processing for Hindi Language
Naman Srivastava, Gaurang Belekar, Sunil Saumya +2
Quantum Natural Language Processing (QNLP) is taking huge leaps in solving the shortcomings of classical Natural Language Processing (NLP) techniques and moving towards a more "Exp…
The Potential of Quantum Techniques for Stock Price Prediction
Naman S, Gaurang B, Neel S +1
We explored the potential applications of various Quantum Algorithms for stock price prediction by conducting a series of experimental simulations using both Classical as well as Q…