• A data collection method acquiring data from tobacco curing sources is developed.
• The variation laws of impact factors of multi-source curing data are explored.
• A multi-sensor data fusion scheme with embedded XGBoost is proposed ...

The quality and economic value of cigarettes depend heavily on the quality of tobacco curing, which is greatly influenced by the temperature rise time during the process. Accurately setting the temperature rise time is crucial in creating the ...

Business process time prediction aims to predict the time of the running process instance, including the elapsed time and the predicted remaining time. Existing time prediction methods rarely take the cycles of business process into ...

• The encodings of prefix and the corresponding suffix for traces are proposed.
• ...

Hadoop is a popular computing framework designed to deliver timely and cost-effective data processing on a large cluster of commodity machines. It relieves the burden of the programmers dealing with distributed programming, and an ...

• We aim to optimize the performance and cost of running Hadoop MapReduce workload in a cloud environment with on-demand resources.

Recently, sophisticated attacks on cyberspace have occurred frequently, causing severe damage to the Internet. Predicting potential threats can assist security engineers in deploying corresponding defenses in advance to reduce the ...

Industrialized building construction is an approach that integrates manufacturing techniques into construction projects to achieve improved quality, shortened project duration, and enhanced schedule predictability. Time savings result ...

We present work on sequential sensor events in smart homes with results on the prediction of the next sensor event and its time of occurrence in the same model using Recurrent Neural Network with Long Short-Term Memory. We implement four ...

A triangle is an important building block of social networks, so the study of triangle formation in a network is critical for better understanding of the dynamics of such networks. Existing works in this area mainly focus on triangle counting, or ...

Predicting optimal remanufacturing time is a key point for improving the quality performance and economic effectiveness of multi-life cycle of remanufactured equipment, and knowing the manufacturing cost is a critical point for accurate prediction ...

Process-aware information systems (PAISs) are increasingly used to provide flexible support for business processes. The support given through a PAIS is greatly enhanced when it is able to provide accurate time predictions which is typically a very ...

Nowadays, edge computing which provides low delay services has gained much attention in the research filed. However, the limited resources of the platform make it necessary to predict the usage, execution time exactly and further optimize the ...

The history of human industrial development has undergone three industrial revolutions. Based on the occurrence time sequences of the three industrial revolutions, the industrial revolution time prediction function based on quadratic function and the ...

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 paper demonstrates that the discovered process models can be extended with ...