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Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review
(Peer reviewed; Journal article, 2020)Data breaches in healthcare continue to grow exponentially, calling for a rethinking into better approaches of security measures towards mitigating the menace. Traditional approaches including technological measures, have ... -
A Data-Driven Approach for Determining Weights in Global Similarity Functions
(Peer reviewed; Journal article, 2019)This paper presents a method to discover initial global similarity weights while developing a case-based reasoning (CBR) system. The approach is based on multiple feature relevance scoring methods and the relevance of ... -
A data-driven approach for fault diagnosis of drivetrain system in a spar-type floating wind turbine based on the multi-point acceleration measurements
(Peer reviewed; Journal article, 2022)This paper deals with the condition monitoring of a floating wind turbine drivetrain using multi-point acceleration measurements. Single sensor data obtained from drivetrain system may provide insufficient information about ... -
Data-driven approach to design fatigue-resistant notched structures
(Peer reviewed; Journal article, 2022)Fatigue is the most common failure mode for engineering materials in various industrial applications. Generally, designing new products and components based on typical deterministic fatigue design approaches is slow and ... -
A Data-driven Approach to Learning Salience Models of Indoor Landmarks by Using Genetic Programming
(Journal article; Peer reviewed, 2020) -
Data-driven approaches for modelling of sub-critical coal-fired boiler
(Chapter, 2022)Due to increasing shares of renewable electricity sources in the grid, thermal power plants need to operate in a more flexible manner in the future. This will involve more frequent startups, shutdowns, and load changes. A ... -
Data-Driven Approaches to Diagnostics and State of Health Monitoring of Maritime Battery Systems
(Chapter, 2023)Battery systems are increasingly being used for powering ocean going ships, and the number of fully electric or hybrid ships relying on battery power for propulsion and maneuvering is growing. In order to ensure the safety ... -
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 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 ...