This survey paper discusses opportunities and threats of using artificial intelligence (AI)
technology in the manufacturing sector with consideration for offensive and defensive uses …

Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …

An accurate solar energy forecast is of utmost importance to allow a higher level of
integration of renewable energy into the controls of the existing electricity grid. With the …

Heavy rainfall in mountainous terrain can trigger numerous landslides in hill slopes. These
landslides can be deadly to the community living downslope with their fast pace, turning …

In this paper, we study the problem of semi-supervised image recognition, which is to learn
classifiers using both labeled and unlabeled images. We present Deep Co-Training, a deep …

Construction and demolition waste (DW) generation information has been recognized as a
tool for providing useful information for waste management. Recently, numerous …

Mammography is currently the most powerful technique for early detection of breast cancer.
To assist radiologists to better interpret mammogram images, computer-aided detection and …

Proactive process adaptation can prevent and mitigate upcoming problems during process
execution by using predictions about how an ongoing case will unfold. There is an important …

Multiple machine learning models were developed in this study to optimize biodiesel
production from waste cooking oil in a heterogenous catalytic reaction mode. Several input …

Abstract Machine learning algorithms have been extensively exploited in energy research,
due to their flexibility, automation and ability to handle big data. Among the most prominent …