In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …

Environmental sustainability is a worldwide key challenge attracting increasing attention due
to climate change, pollution, and biodiversity decline. Reinforcement learning, initially …

The advent of the Internet of Things (IoT) has resulted in significant technical development in
the healthcare sector, enabling the establishment of Medical Cyber–Physical Systems …

In recent years, artificial intelligence has become increasingly popular and is more often
used by scientists and entrepreneurs. The rapid development of electronics and computer …

The aquaculture production sector is one of the suppliers of global food consumption needs.
Countries that have a large amount of water contribute to the needs of aquaculture …

This paper reviews 17 studies addressing dynamic option hedging in frictional markets
through Deep Reinforcement Learning (DRL). Specifically, this work analyzes the DRL …

Electric vehicles (EVs) can provide important flexibility to the integration of local energy
generation in buildings. Although most studies considering the integration of EVs and …

Edge Computing (EC) has gained significant traction in recent years, promising enhanced
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …

The domains of logistics and transportation have long been interested in the optimization of
flight paths between cities. This research aims to use Skyscanner data to estimate the …

Improving production efficiency while ensuring product surface quality is a constant focus of
manufacturers. Cutting parameter optimization is an important technique for ensuring high …