Latest AI and machine learning research in health policy for healthcare professionals.
The learner's ability to generate a hypothesis that closely approximates the target function is cr...
INTRODUCTION: Halfway to the deadline of the 2030 agenda, humankind continues to face long-standing ...
Accurate ship valuations are very important in ship sales and purchase (S&P) transactions and for ma...
Educational digitization has made integrating digital technology into physical education a pivotal s...
Elevated consumption of sugar-sweetened beverages (SSBs) has been associated with an increase in obe...
Cholera continues to pose a significant public health challenge in Nigeria, driven by socioeconomic ...
Higher education has traditionally played the role of an overarching factor in economic growth and d...
Machine learning has increasingly gained prominence in the healthcare sector due to its ability to a...
OBJECTIVE: Access to firearms is associated with increased suicide risk. Our aim was to develop a na...
This paper examines the integration of artificial intelligence (AI) in point-of-care testing (POCT) ...
The rapid integration of artificial intelligence into healthcare has introduced transformative possi...
Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...
In view of the shortcomings of power engineering cost in precision and dynamic in big data environme...
Disparities in disability services between two-year and four-year higher education institutions pose...
Ultra-fine-grained image recognition (UFGIR) is a challenging task that involves classifying image...
Security-Enhanced Linux (SELinux) is a robust security mechanism that enforces mandatory access co...
In recent years, it has become popular to tackle image restoration tasks with a single pretrained ...
Consistency Models (CMs) have significantly accelerated the sampling process in diffusion models, ...
The rapid growth of user-generated content (UGC) videos has produced an urgent need for effective ...
Graph neural networks (GNNs) have emerged as an effective tool for fraud detection, identifying fr...
Given that the factors influencing image quality vary significantly with scene, content, and disto...