Latest AI and machine learning research in practice management for healthcare professionals.
The current generation of large language models (LLMs) is typically designed for broad, general-pu...
DINO and DINOv2 are two model families being widely used to learn representations from unlabeled i...
In this paper, we study how to synthesize a dynamic reference from an external dictionary to perfo...
The interactions between DNA, RNA, and proteins are fundamental to biological processes, as illust...
This paper introduces rateless joint source-channel coding (rateless JSCC). The code is rateless i...
Electrocardiogram (ECG) analysis has emerged as a promising tool for identifying physiological cha...
Neuromorphic vision sensors, commonly referred to as event cameras, have recently gained relevance...
The coronavirus disease 2019 (COVID-19) pandemic necessitated a shift in healthcare delivery, emphas...
BACKGROUND: International Classification of Diseases (ICD) codes utilized for congenital heart defec...
Background: The radiation oncology clinical practice involves many steps relying on the dynamic in...
Lossy image coding is the art of computing that is principally bounded by the image's rate-distort...
Geostationary Earth Orbit (GEO) satellite communication demonstrates significant advantages in eme...
In this paper, a novel learning-based Wyner-Ziv coding framework is considered under a distributed...
Deep learning-based joint source-channel coding (JSCC) is emerging as a promising technology for e...
Age prediction using brain imaging, such as MRIs, has achieved promising results, with several stu...
The image compression model has long struggled with adaptability and generalization, as the decode...
Coping with the impact of dynamic channels is a critical issue in joint source-channel coding (JSC...
Joint source-channel coding (JSCC) is a promising paradigm for next-generation communication syste...
Cloud gaming is an advanced form of Internet service that necessitates local terminals to decode w...
Making good decisions is essential for survival and success, yet humans and animals often exhibit pe...
To explore multiomic regulation of the metabolome, we used machine learning to predict metabolomic v...