Latest AI and machine learning research in anemia for healthcare professionals.
Energy consumption in mobile communication networks has become a significant challenge due to its ...
High-quality data annotation is an essential but laborious and costly aspect of developing machine...
We present AstroLLaVA, a vision language model for astronomy that enables interaction with astrono...
This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by...
Accurate Above-Ground Biomass (AGB) mapping at both large scale and high spatio-temporal resolutio...
Artificial intelligence-based cardiac motion mapping offers predictive insights into pulmonary hyper...
Pavement distress, such as cracks and potholes, is a significant issue affecting road safety and m...
Background: Renal chronicity indices (CI) have been identified as strong predictors of long-term o...
Facial Expression Recognition (FER) from videos is a crucial task in various application areas, su...
The rapid development of multimodal large language models has resulted in remarkable advancements ...
False arrhythmia alarms in intensive care units (ICUs) are a significant challenge, contributing t...
Traditional image annotation tasks rely heavily on human effort for object selection and label ass...
Oxygen concentration in tumor micro-environment is a well-established signal that can induce aggre...
In the clinical stage, suspected hemolytic plasma may cause hemolysis illness, manifesting as sympto...
Estimating the construction year of buildings is of great importance for sustainability. Sustainab...
We present a hybrid brain-machine interface (BMI) that integrates steady-state visually evoked pot...
Advanced persistent threats (APTs) are sophisticated cyber attacks that can remain undetected for ...
We built a spatial hybrid system that combines a personal computer (PC) and virtual reality (VR) f...
Artificial intelligence (AI), with advantages such as automatic feature extraction and high data pr...
PURPOSE: The purpose of this study was to develop and validate a deep-learning model for noninvasive...
Dyspnea is the subjective sensation of breathing discomfort. This symptom is highly prevalent in pat...