Processtransformer: Predictive business process monitoring with transformer network
Predictive business process monitoring focuses on predicting future characteristics of a
running process using event logs. The foresight into process execution promises great …
running process using event logs. The foresight into process execution promises great …
Improving earthquake prediction accuracy in Los Angeles with machine learning
This research breaks new ground in earthquake prediction for Los Angeles, California, by
leveraging advanced machine learning and neural network models. We meticulously …
leveraging advanced machine learning and neural network models. We meticulously …
Attitude deviation prediction of shield tunneling machine using Time-Aware LSTM networks
L Chen, Z Tian, S Zhou, Q Gong, H Di - Transportation Geotechnics, 2024 - Elsevier
In shield tunneling projects, the precise prediction and control of the shield machine's
attitude is critical for quality assurance. Existing prediction methods utilize historical data to …
attitude is critical for quality assurance. Existing prediction methods utilize historical data to …
Fire now, fire later: alarm-based systems for prescriptive process monitoring
Predictive process monitoring is a family of techniques to analyze events produced during
the execution of a business process in order to predict the future state or the final outcome of …
the execution of a business process in order to predict the future state or the final outcome of …
Predictive modeling of earthquakes in los angeles with machine learning and neural networks
Earthquakes pose a significant threat to urban areas, necessitating accurate forecasting
models to mitigate their impact. This study focuses on earthquake forecasting in Los …
models to mitigate their impact. This study focuses on earthquake forecasting in Los …
HAM-Net: Predictive Business Process Monitoring with a hierarchical attention mechanism
One of the essential tasks in Business Process Management (BPM) is Predictive Business
Process Monitoring. This task aims to predict the behavior of an ongoing process based on …
Process Monitoring. This task aims to predict the behavior of an ongoing process based on …
Soft prompt threats: Attacking safety alignment and unlearning in open-source llms through the embedding space
Current research in adversarial robustness of LLMs focuses on discrete input manipulations
in the natural language space, which can be directly transferred to closed-source models …
in the natural language space, which can be directly transferred to closed-source models …
FORMULA: A deep learning approach for rare alarms predictions in industrial equipment
Predictive Maintenance technologies are particularly appealing for Industrial Equipment
producers, as they pave the way to the selling of high added-value services and customized …
producers, as they pave the way to the selling of high added-value services and customized …
Modelling and predictive monitoring of business processes under uncertainty with reinforcement learning
A Bousdekis, A Kerasiotis, S Kotsias… - Sensors, 2023 - mdpi.com
The analysis of business processes based on their observed behavior recorded in event
logs can be performed with process mining. This method can discover, monitor, and improve …
logs can be performed with process mining. This method can discover, monitor, and improve …
Performance-preserving event log sampling for predictive monitoring
Predictive process monitoring is a subfield of process mining that aims to estimate case or
event features for running process instances. Such predictions are of significant interest to …
event features for running process instances. Such predictions are of significant interest to …