Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
While convolutional neural networks (CNNs) excel at clean image classification, they struggle to c...
Water is often overused in irrigation, making efficient management of it crucial. Precision Agricu...
Diabetes is a chronic disease with a significant global health burden, requiring multi-stakeholder...
Current open-vocabulary scene graph generation algorithms highly rely on both 3D scene point cloud...
Artificial Intelligence (AI) projects in healthcare, particularly in nursing, currently gain relevan...
Defining and measuring decision-making styles, also known as playstyles, is crucial in gaming, whe...
To address the rural broadband challenge and to leverage the unique opportunities that rural regio...
Medical imaging segmentation is a highly active area of research, with deep learning-based methods...
This study aimed to develop ICU mortality prediction models using a conceptual framework, focusing o...
Biomedical relation extraction is an ongoing challenge within the natural language processing commun...
The proliferation of high resolution videos posts great storage and bandwidth pressure on cloud vi...
Electronic Health Records (EHRs) are a cornerstone of modern healthcare analytics, offering rich dat...
This paper presents XBG (eXteroceptive Behaviour Generation), a multimodal end-to-end Imitation Le...
LLMs have achieved significant performance progress in various NLP applications. However, LLMs sti...
Hybrid refractive-diffractive lenses combine the light efficiency of refractive lenses with the in...
Local learning offers an alternative to traditional end-to-end back-propagation in deep neural net...
Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation ...
Computational protein design has been demonstrated to be the most powerful tool in the last few year...
This paper presents a study on the use of impedance-based control of a 6-degree-of-freedom robot for...
The analysis of maternal factors that impact the normal development of the fetal thalamus is an emer...
MOTIVATION: The size of available omics datasets is steadily increasing with technological advanceme...