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Probabilistic autoencoder-based bridge damage assessment using train-induced responses
(Peer reviewed; Journal article, 2024)Structural health monitoring (SHM) systems have been increasingly employed to continually assess the current state of bridges. However, the vast amounts of sensor data generated by SHM systems, along with constantly changing ... -
A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning
(Peer reviewed; Journal article, 2020)Multi-instance (MI) learning is a branch of machine learning, where each object (bag) consists of multiple feature vectors (instances)—for example, an image consisting of multiple patches and their corresponding feature ... -
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
(Peer reviewed; Journal article, 2021)Data-driven forecasts of air quality have recently achieved more accurate short-term predictions. However, despite their success, most of the current data-driven solutions lack proper quantifications of model uncertainty ... -
Probabilistic Design of Sustainable Reinforced Concrete Infrastructure Repairs Using SIPmath
(Peer reviewed; Journal article, 2020)The design, construction, and operation of civil infrastructure that is more environmentally, socially, and economically responsible over its life cycle from extraction of raw materials to end of life is increasingly ... -
Probabilistic Economic Assessment of an Offshore Energy Hub Supplying Electrical Power to a Floating Production Storage and Offloading Unit
(Journal article, 2023)This paper analyzes the viability of an offshore energy hub consisting of wind turbines, batteries, fuel cells and electrolyzers connected to, and powering, an oil producing floating production storage and offloading unit. ... -
Probabilistic Economic Assessment of an Offshore Energy Hub Supplying Electrical Power to a Floating Production Storage and Offloading Unit
(Chapter, 2023)This paper analyzes the viability of an offshore energy hub consisting of wind turbines, batteries, fuel cells and electrolyzers connected to, and powering, an oil producing floating production storage and offloading unit. ... -
Probabilistic estimates of permissive areas for undiscovered seafloor massive sulfide deposits on an Arctic Mid-Ocean Ridge
(Journal article; Peer reviewed, 2018)Norway explores its seabed mining potential including exploration studies on seafloor massive sulfides (SMS) at the outermost parts of its continental shelf, the Mohn’s Ridge. Owing to the significant development potential ... -
Probabilistic fatigue model for design and life extension of mooring chains, including mean load and corrosion effects
(Peer reviewed; Journal article, 2022)A probabilistic model for mooring chain fatigue damage is developed based on the S–N approach. The effects of mean load and corrosion condition on the fatigue capacity of the chains are included by adopting a parameterized ... -
Probabilistic finite element analysis of failures in concrete dams with large asperities in the rock–concrete interface
(Peer reviewed; Journal article, 2023)Common analytical assessment methods for concrete dams are unlikely to predict material fracture in the dam body because of the assumption of rigid body behavior and uniform- or linear stress distribution along a predetermined ... -
A Probabilistic Framework for the Fatigue Damage Assessment of Ships Navigating through Level Ice Fields
(Journal article, 2021)For ships navigating in ice-covered waters, fatigue damage due to ice loads is an important issue. The purpose of this paper is to provide ship researchers and engineers with a simulation-based procedure for a probabilistic ... -
A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest
(Peer reviewed; Journal article, 2020)Cardiopulmonary resuscitation quality (CPRQ) parameters can be derived from electric signals obtained during resuscitation. We propose to model a probabilistic relationship between CPRQ parameters and the physiological ... -
Probabilistic inference in psychosis and autism
(Lecture, 2017) -
Probabilistic Load Forecasting Using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine
(Journal article; Peer reviewed, 2018)Competitive transactions resulting from recent restructuring of the electricity market, have made achieving a precise and reliable load forecasting, especially probabilistic load forecasting, an important topic. Hence, ... -
Probabilistic Localization and Mapping of Flexible Underwater Structures using Octomap
(Chapter, 2018)This paper addresses localization and mapping of flexible ocean structures. The methodology is based on a network of low cost acoustic transmitters on the structure and receivers stationed in the vicinity of the structure. ... -
A probabilistic long-term framework for site-specific erosionanalysis of wind turbine blades: A case study of 31 Dutch sites
(Peer reviewed; Journal article, 2021)Rain-induced leading-edge erosion (LEE) of wind turbine blades (WTBs) is associated with high repair and maintenance costs. The effects of LEE can be triggered in less than 1 to 2 years for some wind turbine sites, whereas ... -
A Probabilistic Method for Fractured Cultural Relics Automatic Reassembly
(Peer reviewed; Journal article, 2021)Masses of fragile cultural relics are dug out in fragments due to long-standing burying and their fragility, which must be reassembled to play a role in cultural heritage study. However, it is very challenging to automatically ... -
Probabilistic methods for estimation of the extreme value statistics of ship ice loads
(Journal article; Peer reviewed, 2017)It is well known that when a ship sails in ice-covered regions, the ship-ice interaction process is complex and the associated ice loads on the hull is a stochastic process. Therefore, statistical models and methods should ... -
A probabilistic model of coastal bluff-top erosion in high latitudes due to thermoabrasion: A case study from Baydaratskaya Bay in the Kara Sea
(Peer reviewed; Journal article, 2020)Arctic coastal erosion demands more attention as the global climate continues to change. Unlike those along low-latitude and mid-latitude, sediments along Arctic coastlines are often frozen, even during summer. Thermal and ... -
Probabilistic modelling of building stock properties for urban mining
(Chapter, 2024) -
Probabilistic Models with Deep Neural Networks
(Peer reviewed; Journal article, 2021)Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate ...