description The paper proposes DeepEISNN, a normalization-free learning framework based on cortical excitatory-inhibitory (E-I) circuits. By implementing E-I Init and E-I Prop, it achieves stable ...

With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...

Artificial intelligence (AI) techniques such as machine learning (ML) and particularly deep learning (DL) tools such as large language models (LLMs) (Zhao et al., 2023) have been increasingly used to ...

The advancement of cloud computing technologies has led to increased usage in application deployment in recent years. Kubernetes, a widely used container orchestration platform for deploying ...

Finance and Business Sector, Institute of Public Administration, Riyadh, Saudi Arabia. This paper seeks to forecast the daily closing prices of advanced global stock markets by employing machine ...

bDepartment of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, 273008, India cAll India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh ...

03 Nov 2019, Siteng Huang, et al.

Abstract: The increasing use of Renewable Energy Resources (RES) in energy generation has led to the transformation of the conventional electrical grid into a more adaptable and interactive system, ...