Abstract: As the energy landscape continues to evolve, Battery Energy Storage Systems (BESS) are increasingly recognized as essential technology for building a more sustainable and resilient energy.

Abstract: Breast cancer remains a significant health challenge globally, driving the need for accurate and efficient diagnostic tools. Machine learning (ML) algorithms have gained prominence in ...

Abstract: The inflow of DC magnetic flux into the core of power transformers under DC bias conditions leads to a significant increase in operational losses, noise levels, and vibration amplitudes, ...

Abstract: Sentiment analysis, a subset of natural language processing, focuses on identifying the emotional tone within text computationally. This study reviews machine learning algorithms used in ...

There are tons of jobs out there needing people who can write code, like software developers and data scientists. But ...

Abstract: With the improvement of people’s living standards, material needs have been satisfied, so attention has begun to be paid to mental health. Among them, adolescents due to adolescence, mental ...

Abstract: The performance of multilevel inverters (MLIs) in microgrids plays a vital role in managing daily fluctuations in power demand and supporting the reliable operation of renewable energy ...

Abstract: In recent years, educational institutions have increasingly sought to leverage data-driven approaches to enhance student success and retention. While numerous machine learning algorithms ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Containers move fast. They're created and removed in seconds, but the vulnerabilities they introduce can stick around. Learn 5 core practices to help engineering and security teams manage container ...