For the past decade, the global e-commerce and fintech sectors have operated under a singular directive: maximize payment ...
A piece of “family silver” often reveals its most important details on the underside. Tucked away on the back, there is often a row of small ...
NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain p ...
Background: Machine learning (ML) and deep learning (DL) show promise for fall risk prediction, but prior reviews focused mainly on real-time fall detection, in-hospital falls, or conventional ...
Abstract: Crop classification is essential for crop status monitoring and food security. However, the traditional manual crop classification methods are time-consuming, expensive, and labour-intensive ...
Abstract: Model-free deep reinforcement learning has emerged as a promising method for addressing the scheduling challenges in integrated energy systems. However, uncertainty in system states ...