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A Data-Driven Architecture for Sensor Validation Based on Neural Networks
(Peer reviewed; Journal article, 2020)In this paper, we propose a novel sensor validation architecture, which performs sensor fault detection, isolation and accommodation (SFDIA). More specifically, a machine-learning based architecture is presented to detect ... -
Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant
(Journal article; Peer reviewed, 2019)Beetle Antennae Search (BAS) is a newly developed nature-inspired algorithm, which falls in the class of single-solution driven metaheuristic techniques. This algorithm mimics the searching behavior of the longhorn beetles ... -
Data-Driven Classifiers for Early Meal Detection Using ECG
(Peer reviewed; Journal article, 2023)This study investigates the potential of the electrocardiogram (ECG) to perform early meal detection, which is critical for developing a fully-functional automatic artificial pancreas. The study was conducted in a group ... -
Data-driven control in marine systems
(Journal article; Peer reviewed, 2018)With the advent of cheap smart sensors installed on board marine vehicles and the increasing computational power of small embedded processors there is tremendous potential for the implementation of new strategies to control ... -
Data-driven control of planar snake robot locomotion
(Chapter, 2022)A direct data-driven strategy for snake-robot locomotion control is proposed in this paper. The approach leads to a time-varying state feedback controller with robustness guarantees. Instead of relying on exact model ... -
Data-driven degradation model for batch processes: a case study on heat exchanger fouling
(Journal article; Peer reviewed, 2018) -
Data-driven derivative-free trust-region model-based method for resource allocation problems
(Peer reviewed; Journal article, 2023)Allocating a limited available resource between a set of units is a problem that arises in several application areas. We propose an online derivative-free trust-region model-based method to tackle a fairly general version ... -
Data-Driven Efficiency Modeling and Analysis of All-Electric Ship Powertrain; A Comparison of Power System Architectures
(Peer reviewed; Journal article, 2021)In this paper, a data-driven dynamic efficiency model is developed for efficiency evaluation and comparison of ship electric powertrain with various system configurations and load-sharing methods. Based on the proposed ... -
Data-driven energy management of a neighborhood with renewable energy sources
(Peer reviewed; Journal article, 2023) -
Data-driven energy management of isolated power systems under rapidly varying operating conditions
(Peer reviewed; Journal article, 2022)We propose an energy management algorithm for isolated industrial power systems that integrate uncertain renewable generation and energy storage. The proposed strategy is designed to ensure sustainable and cost-effective ... -
A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection
(Peer reviewed; Journal article, 2022)The rapid development of artificial intelligence methods contributes to their wide applications for forecasting various financial risks in recent years. This study introduces a novel explainable case-based reasoning (CBR) ... -
Data-driven information for action
(Journal article; Peer reviewed, 2023)Because of the increase in data and the possibilities created by machine learning, organizations are now looking to become more data-driven. In sociotechnical systems design there has been a focus on designing information ... -
Data-driven Intrusion Detection System for Small and Medium Enterprises
(Journal article; Peer reviewed, 2019)Small and Medium Enterprises (SMEs) have become targets of attack by cyber criminals in resent times. This paper therefore aim to address awareness and challenges of SMEs related to IDSs as the most important defense tool ... -
Data-Driven Machine Learning Approach for Human Action Recognition Using Skeleton and Optical Flow
(Chapter, 2021)Human action recognition is a very challenging problem due to numerous variations in each body part. In this paper, we propose a method for extracting optical flow information from skeleton data to address the problem of ... -
Data-driven Machine Learning Model in District Heating System for Heat Load Prediction: A Comparison Study
(Journal article; Peer reviewed, 2016)We present our data-driven supervised machine-learning (ML) model to predict heat load for buildings in a district heating system (DHS). Even though ML has been used as an approach to heat load prediction in literature, ... -
Data-Driven Maritime Processes Management Using Executable Models
(Journal article, 2018)In this paper we describe a decision support system for maritime traffic and operations, based on formal models and driven by data from the environment. To handle the complexity of system description, we work with a ... -
Data-Driven Methodology for the Analysis of Operational Profile and the Quantification of Electrical Power Variability on Marine Vessels
(Journal article; Peer reviewed, 2018)Measurements from the on-board systems of marine vessels are increasingly available for data analysis and are growing in importance as the ship industry enters a phase of digitalization. The purposes of the data analysis ... -
A Data-Driven Model for Ice-Breaking Resistance of Structure Based on Non-Smooth Discrete Element Method and Artificial Neural Network Method
(Peer reviewed; Journal article, 2023)In this paper, a data-driven model based on the Non-smooth Discrete Element Method (NDEM) and Artificial Neural Network Method (ANN) is proposed for the computation of the ice-breaking resistance of the structure. The idea ... -
Data-driven modeling of a CO2 refrigeration system
(Peer reviewed; Journal article, 2019)This paper describes a data-driven method for system identification of a CO 2 refrigeration system. Traditionally, the interaction between the measured variables is not utilized as they are highly dependent on the refrigeration ... -
Data-driven modeling of fatigue effects following repeated muscular contractions
(Chapter, 2022)We propose a novel dynamical model for describing muscular fatigue and cramping following repeated muscular contractions in the case of female Kegel exercising. The proposed compartmental model adds opportune parameters ...