SinoXivAs a transitional space that connects urban and rural elements, the mobility behavior of peri-urban residents is key to understanding the mechanisms of urban–rural interaction and the logic of spatial...
Slug frequency is a key parameter in the modeling and flow assurance management of gas–liquid slug flow encountered in the petroleum industry. While slug frequency has been extensively investigated in...
The rapid adoption of cloud computing in healthcare has improved data accessibility but introduced significant challenges in privacy preservation. This study presents a secure cloud-based framework fo...
Federated learning (FL) has emerged as a paradigm-shifting approach to distributed machine learning, enabling multiple participants to collaboratively train models without exposing raw data. However, ...
This paper proposes an intelligent control method based on the Camel Marching Optimization Algorithm (CJOA) for the adaptive adjustment of control parameters of grid structured photovoltaic inverters ...
The growing application of Artificial Intelligence (AI) is transforming manufacturing industries across the globe by improving productivity and operational efficiency. However, in developing economies...
Can large language model (LLM) agents serve as proxies for human investors in behavioral finance experiments? I deploy 96 GPT-4-family agents in a staggered difference-in-differences design, exposing ...
This article focuses on the sustainable development of electric vehicle equipment to ensure the safety of people and property. It contributes to improving the thermal management of lithium-ion batteri...
Background Digital HIV prevention interventions (DHIs) are efficacious in increasing prevention behaviors, and delivering them direct-to-consumer (DTC) expands their reach. However, few have successfu...
Background Given that machine learning is one of the most effective approaches for identifying disease risk factors, this study aimed to explore the predictors of preeclampsia through machine learning...
