Machine learning has proven to be a powerful technique during the past decades. Artificial
neural network (ANN), as one of the most popular machine learning algorithms, has been …

It is of great significance to achieve the prediction of building energy consumption. However,
machine learning, as a promising technique for many practical applications, was rarely …

How to design water-in-glass evacuated tube solar water heater (WGET-SWH) with high
heat collection rates has long been a question. Here, we propose a high-throughput …

Predicting the performance of solar water heater (SWH) is challenging due to the complexity
of the system. Fortunately, knowledge‐based machine learning can provide a fast and …

Solar water heating is a technology of capturing the energy from the sun's radiation for the
purpose of raising the temperature of water from water supply temperature to the desired …

Indoor airborne culturable bacteria are sometimes harmful to human health. Therefore, a
quick estimation of their concentration is particularly necessary. However, measuring the …

Measuring the performance of solar energy and heat transfer systems requires a lot of time,
economic cost, and manpower. Meanwhile, directly predicting their performance is …

An intelligent system for processing data of liquid-phase oxidation reactions for an industrial
method of obtaining valuable oxygen-containing compounds has been developed. The …

Machine learning is a promising technique for many practical applications. In this
perspective, we illustrate the development and application for machine learning. It is …

Machine learning has been demonstrated to be a powerful technique in recent decades.
Artificial neural networks are widely used in various fields of science and industry. In this …