By distributing ownership, we are creating a system where human insight and machine learning work in tandem ... industry-standard knowledge. UML diagrams describing our solution components.

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Machine learning and artificial intelligence are fundamentally dependent on databases. These databases serve the vital role of storing, organizing, and pulling up necessary data to develop and ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Recently, with the emergence of SSL/TLS encryption protocols in the modern Internet environment, the traditional payload-based classification methods are no longer effective. Some researchers have ...

Therefore, this research will propose an efficient machine learning algorithm for facial stroke classification. Our research gathers the imaging data from the two published dataset that consist of the ...

However, most current hyperspectral image classification networks follow a patch-based learning framework, which divides the entire ... Figure 2. The structure diagram of LRFC block. The proposed LRFC ...

A simple and intuitive UML (Unified Modeling Language) diagram editor built to help developers and architects create and manage UML diagrams efficiently.