(1) Integration with Artificial Intelligence and Machine Learning ...

The intersection of artificial intelligence and healthcare continues to unlock unprecedented opportunities for improving patient outcomes and operational efficiency. As healthcare organizations ...

Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

[Asia Economy Honam Reporting Headquarters Reporter Lee Gwan-woo] Gwangju Institute of Science and Technology (GIST) ...

United States scientists have combined spatial and temporal attention mechanisms to develop a new approach for PV inverter ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and financial institutions like never before. However, at the ...

Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural ...

ABSTRACT: SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning ...

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...

Department of Biomedical Engineering, Institute for Complex Molecular System (ICMS) and Eindhoven AI Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven 5612 AZ, Netherlands ...