6 citations · 13 across the 6 of their papers we have counts for
6 papers
LLM-enhanced Air Quality Monitoring Interface via Model Context Protocol
Yu-Erh Pan, Ayesha Siddika Nipu
Air quality monitoring is central to environmental sustainability and public health, yet traditional systems remain difficult for non-expert users to interpret due to complex visua…
LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs
K M Sajjadul Islam, Ayesha Siddika Nipu, Jiawei Wu +1
Electronic Health Records (EHRs) are digital records of patient information, often containing unstructured clinical text. Named Entity Recognition (NER) is essential in EHRs for ex…
How Reliable AI Chatbots are for Disease Prediction from Patient Complaints?
Ayesha Siddika Nipu, K M Sajjadul Islam, Praveen Madiraju
Artificial Intelligence (AI) chatbots leveraging Large Language Models (LLMs) are gaining traction in healthcare for their potential to automate patient interactions and aid clinic…
Enabling Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation
Ayesha Siddika Nipu, Siming Liu, Anthony Harris
Multi-Agent Reinforcement Learning (MARL) algorithms are widely adopted in tackling complex tasks that require collaboration and competition among agents in dynamic Multi-Agent Sys…
MAIDCRL: Semi-centralized Multi-Agent Influence Dense-CNN Reinforcement Learning
Ayesha Siddika Nipu, Siming Liu, Anthony Harris
Distributed decision-making in multi-agent systems presents difficult challenges for interactive behavior learning in both cooperative and competitive systems. To mitigate this com…
Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models
K M Sajjadul Islam, Ayesha Siddika Nipu, Praveen Madiraju +1
The Chief Complaint (CC) is a crucial component of a patient's medical record as it describes the main reason or concern for seeking medical care. It provides critical information…