Artificial intelligence (AI) has profoundly changed and will continue to change our lives. AI is
being applied in more and more fields and scenarios such as autonomous driving, medical …

Predictive business process monitoring refers to the act of making predictions about the
future state of ongoing cases of a business process, based on their incomplete execution …

Machine learning is an important task for learning artificial neural networks, and we find in
the learning one of the common problems of learning the Artificial Neural Network (ANN) is …

Wildfires, whether natural or caused by humans, are considered among the most dangerous
and devastating disasters around the world. Their complexity comes from the fact that they …

Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …

Over the last decade, process mining emerged as a new research field that focuses on the
analysis of processes using event data. Classical data mining techniques such as …

Alkali-activated concrete (AAC) is regarded as a promising alternative construction material
to reduce the CO 2 emission induced by Portland cement (PC) concrete. Due to the diversity …

Predictive business process monitoring methods exploit historical process execution logs to
generate predictions about running instances (called cases) of a business process, such as …

Predictive modeling approaches in business process management provide a way to
streamline operational business processes. For instance, they can warn decision makers …

Process mining allows for the automated discovery of process models from event logs.
These models provide insights and enable various types of model-based analysis. This …