4 papers · 1 filter
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…
Synergizing a Decentralized Framework with LLM-Assisted Skill and Willingness-Aware Task Assignment for Volunteer Crowdsourcing
Riya Samanta, Rituparna Bhattyacharya
Volunteer crowdsourcing or VCS platforms increasingly support education, healthcare, disaster response, and smart city applications, yet assigning volunteers to complex tasks remai…
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…
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…