most citedImproving Remote Patient Monitoring Systems Using a Fog-based IoT Platform with Speech Recognition

20 citations

13 papers

cs.CV2026

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing

Wanglong Lu, Lingming Su, Kaijie Shi +4

Recent diffusion-based generative models have shown impressive performance in image generation and editing. However, due to memory limitations and the high cost of collecting high-…

astro-ph.EP2026

How Late Solid Enrichment Shapes Atmospheric Abundances in Giant Planets

Michael L. Balogh, Yuvan Sooryakumar, Sachen Gombu +4

Atmospheric abundance measurements of giant exoplanets are increasingly used to infer their formation histories, motivating upcoming population studies with facilities such as the…

nucl-ex2026

Multiple shape coexistence near Sn118: First 03+ lifetime measurement

F. Wu, C. R. Ding, C. Andreoiu +17

The intruder bands in Sn isotopes, built on the 2p-2h excitation across the proton shell gap, are well-known examples of shape coexistence near the neutron mid-shell regio…

gr-qc20264 cited

Systematic errors in fast relativistic waveforms for Extreme Mass Ratio Inspirals

Hassan Khalvati, Philip Lynch, Ollie Burke +3

Accurate modeling of \gls{EMRIs} is essential for extracting reliable information from future space-based gravitational wave observatories. Fast waveform generation frameworks adop…

nucl-th2026

Ab initio study of the neutron and Fermi polarons on the lattice

Ryan Curry, Jasmine Kozar, Alexandros Gezerlis

We have used the auxiliary-field quantum Monte Carlo (AFQMC) many-body approach on the lattice to study the equation of state for a fermionic impurity interacting with a background…

cs.CR20261 cited

Privacy-Preserving Explainable AIoT Application via SHAP Entropy Regularization

Dilli Prasad Sharma, Xiaowei Sun, Liang Xue +2

The widespread integration of Artificial Intelligence of Things (AIoT) in smart home environments has amplified the demand for transparent and interpretable machine learning models…