Predicting traffic states has gained more attention because of its practical significance.
However, the existing literature lacks a critical review regarding how to address the …

The energy generated by a solar photovoltaic (PV) system depends on uncontrollable
factors, including weather conditions and solar irradiation, which leads to uncertainty in the …

Customized metal forming products entail personalized requirements in terms of
dimensions, materials, and other specifications, while the processing conditions involved …

The proliferation of e-commerce in recent years has been driven in part by the increasing
ease of making purchases online and having them delivered directly to the consumer …

Anaerobic digestion is a well-established tool at wastewater treatment plants for processing
raw sludge; it can also be used to generate renewable energy by harvesting biogas in …

The durability of proton exchange membrane (PEM) fuel cells is an obstacle to
industrialization. PEM fuel cells need a robust incentive to improve their durability …

Recreational beaches face a threat from pathogenic bacteria that harbor antibiotic
resistance genes (ARGs). To predict bacterial occurrence and comprehend their non-linear …

This paper addresses the challenge of predicting dam level rise in hydroelectric power
plants during floods and proposes a solution using an automatic hyperparameters tuning …

Although helpful in reducing the uncertainty associated with economic activities, economic
forecasting often suffers from low accuracy. Recognizing the high compatibility between …

This paper presents a new method to improve text summarization by combining the
strengths of Graph Neural Networks with Transformer-based models. Text summarization is …