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Found 4 papers, 2 papers with code
Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within $z < 1.4$ in the Hyper Supreme-Cam Wide Survey
We present a composite machine learning framework to estimate posterior probability distributions of bulge-to-total light ratio, half-light radius, and flux for Active Galactic Nucleus (AGN) host galaxies within $z<1. 4$ and $m<23$ in the Hyper Supreme-Cam Wide survey.
Purrfessor: A Fine-tuned Multimodal LLaVA Diet Health Chatbot
This study introduces Purrfessor, an innovative AI chatbot designed to provide personalized dietary guidance through interactive, multimodal engagement.
Optimizing Collaboration of LLM based Agents for Finite Element Analysis
This paper investigates the interactions between multiple agents within Large Language Models (LLMs) in the context of programming and coding tasks.
Using Machine Learning to Determine Morphologies of $z<1$ AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey
The classification precision of our models has a noticeable dependency on host galaxy radius and magnitude.
