In this paper, the successful use of Response Surface Methodology (RSM) in optimizing the characteristics of an OMUX resonator is presented. Models for the output responses, with respect to geometric ...

Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.

Abstract: Remote sensing images are increasingly being used in military and civilian fields. However, due to the influence of factors such as detector movement and temperature changes during the ...

Abstract: Magnetic shielding rooms (MSRs) are utilized to construct the weak magnetic field environment for precision measurement. Active magnetic compensation technology is applied to improve the ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

In order to accurately describe the impact of the volatility and randomness of renewable energy output power on the operation of industrial park microgrids, a data-driven robust optimization method ...

As the world grapples with climate change and dwindling fossil fuel reserves, biodiesel emerges as a promising renewable alternative to conventional diesel. However, the journey toward sustainable ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Ramp reports that cashback business cards provide direct savings on expenses, with options based on spending patterns, fees, ...