output
19962026
most citedNeural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy

424 citations

110 papers

gr-qc2026★ 3 cited

A Constraint-Free Formulation of Black Hole Thermodynamics from the Field Equations

Geonwoo Ahn, Ijin Bae, Geunyeong Jang +1

We develop a constraint-free formulation that generalizes Padmanabhan's method for deriving the first law of black hole thermodynamics directly from the Einstein field equations. I…

cs.AI2025

Humanoid Artificial Consciousness Designed with Large Language Model Based on Psychoanalysis and Personality Theory

Sang Hun Kim, Jongmin Lee, Dongkyu Park +2

Human consciousness is still a concept hard to define with current scientific understanding. Although Large Language Models (LLMs) have recently demonstrated significant advancemen…

cs.CV2025★ 7 cited

An Anisotropic Cross-View Texture Transfer with Multi-Reference Non-Local Attention for CT Slice Interpolation

Kwang-Hyun Uhm, Hyunjun Cho, Sung-Hoo Hong +1

Computed tomography (CT) is one of the most widely used non-invasive imaging modalities for medical diagnosis. In clinical practice, CT images are usually acquired with large slice…

physics.soc-ph2025★ 2 cited

Hierarchical organization of bursty trains in event sequences

Takayuki Hiraoka, Hang-Hyun Jo

Temporal sequences of discrete events that describe natural and social processes are often driven by non-Poisson dynamics. In addition to a heavy-tailed interevent time distributio…

cs.LG2025

Discovering Spatial Correlations of Earth Observations for weather forecasting by using Graph Structure Learning

Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon +1

This study aims to improve the accuracy of weather predictions by discovering spatial correlations between Earth observations and atmospheric states. Existing numerical weather pre…

physics.data-an2025★ 1 cited

Maximum likelihood estimation of burst-merging kernels for bursty time series

Tibebe Birhanu, Hang-Hyun Jo

Various time series in natural and social processes have been found to be bursty. Events in the time series rapidly occur within short time periods, forming bursts, which are alter…