Eduardo Hernandez

Nov 27, 2024 | onlinelibrary.wiley.com | Eduardo Hernandez |Eduardo Hernández |Shashank Pandey |Dwijendra N. Pandey

REFERENCES 1, Bounded solutions of functional-differential equations of the superneutral type, Funkcial. Ekvac. 24 (1981), no. 1, 11–22. 2 and , Existence and uniqueness of the global solution of the initial value problem for neutral -type differential-functional equations in Banach space, Nonlinear Anal. 4 (1980), no. 1, 93–107. 3 and , Absolutely continuous global solutions of the initial value problem for neutral functional-differential equations of mixed type, Rend. Circ. Mat.

Mar 18, 2024 | medium.com | Eduardo Hernandez |Eduardo Hernández

Artificial Intelligence (AI) is revolutionizing the way we approach education, offering new methods to engage students and enhance learning. One such application of AI is in the realm of creating interactive learning tools. This article will walk you through a user-guided journey of how an AI, specifically GitHub Copilot, can help create an interactive prime number checker tool. The first step in the process is understanding the user’s needs.

Dec 15, 2023 | rtinsights.com | Eduardo Hernandez |Eduardo Hernández

Understanding core algorithms will drive process improvement projects and improve collaboration between operational experts and data scientists. Plant managers considering the addition of soft sensors might initially be intimidated by the scope of machine learning. However, a closer look reveals that a few key algorithms form the basis for most soft sensor designs.

Oct 5, 2023 | automation.com | Eduardo Hernandez |Eduardo Hernández

Despite the appeared complexity of machine learning, only a handful of algorithms serve as the basis for all soft sensor models. The algorithms behind machine learning have been around for thousands of years, but soft sensors have gained prominence only in the past three to four decades. They often rival their digital counterparts and sometimes even outshine them. Yet, their development remains a mystery to many who are overwhelmed by the appearing complexity of machine learning.

Sep 14, 2023 | automationworld.com | Eduardo Hernandez |Eduardo Hernández

Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of machine learning that enables soft sensors to do their work. Yet, a deep dive into the subject reveals something surprising: there are five core algorithms behind most soft sensor designs.