3 papers
cs.SE2026
AgentR A Stateful and Recovery-Aware Software Architecture for LLM-based Auditable Workflows
Riya Samanta, Bidyut Saha, Soumya Kanti Ghosh +1
Modern LLM-based applications increasingly require multi- stage execution, persistent intermediate state, retry seman- tics, and auditable usage accounting. However, many LLM appli…
cs.ET2026
Affordable Precision Agriculture: A Deployment-Oriented Review of Low-Cost, Low-Power Edge AI and TinyML for Resource-Constrained Farming Systems
Riya Samanta, Bidyut Saha
Precision agriculture increasingly integrates artificial intelligence to enhance crop monitoring, irrigation management, and resource efficiency. Nevertheless, the vast majority of…
cs.PF2026
Rethinking Temporal Models for TinyML: LSTM versus 1D-CNN in Resource-Constrained Devices
Bidyut Saha, Riya Samanta
Time series classification underpins applications such as human activity recognition, healthcare monitoring, and gesture detection in the IoT domain. Tiny Machine Learning enables…