activity
20192026
most citedThe Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition

264 citations · 646 across the 13 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

q-bio.QM2026

BananaVLM: A Domain-Adapted Vision Language Model for Banana Crop Disease Diagnosis

Sangam Kumar Jena, Pandarasamy Arjunan

Banana crop diseases threaten food security across the world, yet field diagnosis remains difficult because of limited expert access and visual similarity among disease classes. We…

cs.LG2026

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…

cs.LG2026

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…

cs.LG2026

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…

cs.LG2026

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…