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View article: Fast risk estimation for job shop scheduling solutions under interval uncertainty via machine learning
Fast risk estimation for job shop scheduling solutions under interval uncertainty via machine learning Open
This paper addresses the evaluation of quantile-based risk measures of the makespan in complex job shop scheduling problems represented as activity networks. We consider the case where activity durations are uncertain and only the range of…
View article: Real-time optimization for a Digital Twin of a robotic cell with human operators
Real-time optimization for a Digital Twin of a robotic cell with human operators Open
In this paper, we develop a Digital Twin (DT) for a cell with a robotic arm serving seven stations and assisted by a human operator. The lack of reliable predictions of human behaviours requires constant monitoring of the cell in order not…
View article: Expected Shortfall for the Makespan in Activity Networks With Fuzzy Durations
Expected Shortfall for the Makespan in Activity Networks With Fuzzy Durations Open
The paper deals with the evaluation of the Expected Shortfall or the Conditional Value-at-Risk for the makespan in scheduling problems represented as temporal activity networks where we assume that only a type-1 fuzzy representation for th…
View article: A framework for dynamic rescheduling problems
A framework for dynamic rescheduling problems Open
Academic scheduling problems usually assume deterministic and known in advance data. However, this situation is not often met in practice, since data may be subject to uncertainty and it may change over time. In this paper, we introduce a …
View article: A Patient-Specific Approach for Short-Term Epileptic Seizures Prediction Through the Analysis of EEG Synchronization
A Patient-Specific Approach for Short-Term Epileptic Seizures Prediction Through the Analysis of EEG Synchronization Open
The proposed approach, characterized by low computational requirements and by the use of noninvasive techniques, is a step toward the development of portable and wearable devices for real-life use.
View article: A framework for dynamic rescheduling problems
A framework for dynamic rescheduling problems Open
Academic scheduling problems usually assume deterministic and known in advance data. However, this situation is not often met in practice, since data may be subject to uncertainty and it may change over time. In this paper, we introduce a …
View article: Anticipating epileptic seizures through the analysis of EEG synchronization as a data classification problem
Anticipating epileptic seizures through the analysis of EEG synchronization as a data classification problem Open
Epilepsy is a neurological disorder arising from anomalies of the electrical activity in the brain, affecting about 0.5--0.8\% of the world population. Several studies investigated the relationship between seizures and brainwave synchroniz…