264 citations · 646 across the 13 of their papers we have counts for
4 papers · 2 filters
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…
A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction
Ajeet Kumar Yadav, Sankaran Balasubramaniam, Aritra Chatterjee +3
Integrated Sensing and Communication (ISAC) combines sensing and communication to efficiently utilize wireless resources and is emerging as a key paradigm for next-generation wirel…
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…
Air Quality Arena: A Large-Scale Multi-Region Ground Monitoring Dataset and Benchmark for Air Quality Forecasting with Time-Series Foundation Models
Rishi Bharadwaj, Manik Gupta, Pandarasamy Arjunan
Air pollution causes an estimated 7.9 million premature deaths annually, making accurate forecasting a critical public health priority. Machine learning is increasingly being appli…