Pentti Kujala mainly investigates Collision, Operations research, Bayesian network, Risk analysis and Meteorology. His Collision research is multidisciplinary, incorporating perspectives in Monte Carlo method, Transport engineering and Archipelago. His Operations research study combines topics in areas such as Ranking, Data point, Basis and Near miss.
His Bayesian network study which covers Variable that intersects with Constraint. His studies in Risk analysis integrate themes in fields like Collision risk and Risk assessment. As part of one scientific family, Pentti Kujala deals mainly with the area of Meteorology, narrowing it down to issues related to the Navigation system, and often Lead, Hindcast and Sea ice.
Marine engineering, Collision, Hull, Operations research and Baltic sea are his primary areas of study. Pentti Kujala interconnects Sea ice, Ice thickness, Arctic and Full scale in the investigation of issues within Marine engineering. Collision is often connected to Monte Carlo method in his work.
His studies deal with areas such as Structural engineering and Meteorology as well as Hull. Pentti Kujala combines subjects such as Risk analysis, Bayesian network and Risk assessment with his study of Operations research. His work on Bayesian network is being expanded to include thematically relevant topics such as Probabilistic logic.
The scientist’s investigation covers issues in Marine engineering, Collision, Arctic, Baltic sea and Risk analysis. The Marine engineering study which covers Full scale that intersects with Full scale test. The Collision study combines topics in areas such as Finite element method and Operations research.
He has included themes like Polar code, Probabilistic logic, Passage planning, Risk based design and Risk assessment in his Arctic study. His research investigates the connection with Baltic sea and areas like Sea ice which intersect with concerns in Petroleum engineering, Bayesian network and Crew. In general Risk analysis, his work in Risk analysis is often linked to Process analysis, Design phase and Maritime safety linking many areas of study.
Pentti Kujala focuses on Marine engineering, Collision, Risk analysis, Baltic sea and Finite element method. Pentti Kujala has researched Marine engineering in several fields, including Artificial neural network and Computational fluid dynamics. In his research, Identification is intimately related to Operations research, which falls under the overarching field of Collision.
In his study, which falls under the umbrella issue of Risk analysis, Development is strongly linked to Process. His research on Baltic sea also deals with topics like
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Analysis of the marine traffic safety in the Gulf of Finland
Pentti Kujala;Maria Hänninen;Tommi Arola;Jutta Ylitalo.
Traffic simulation based ship collision probability modeling
Floris Goerlandt;Pentti Kujala.
Probability modelling of vessel collisions
Jakub Montewka;Tomasz Hinz;Pentti Kujala;Jerzy Matusiak.
A framework for risk assessment for maritime transportation systems—A case study for open sea collisions involving RoPax vessels
Jakub Montewka;Sören Ehlers;Floris Goerlandt;Tomasz Hinz.
A method for detecting possible near miss ship collisions from AIS data
Weibin Zhang;Floris Goerlandt;Jakub Montewka;Jakub Montewka;Pentti Kujala.
Towards the assessment of potential impact of unmanned vessels on maritime transportation safety
Krzysztof Adam Wróbel;Jakub Montewka;Jakub Montewka;Pentti Kujala.
Influences of variables on ship collision probability in a Bayesian belief network model
Maria Hänninen;Pentti Kujala.
An Advanced Method For Detecting Possible Near Miss Ship Collisions From AIS Data
Weibin Zhang;Floris Goerlandt;Pentti Kujala;Yinhai Wang.
On the Reliability and Validity of Ship–Ship Collision Risk Analysis in Light of Different Perspectives on Risk
Floris Goerlandt;Pentti Kujala.
A Risk-Informed Ship Collision Alert System: Framework and Application
Floris Goerlandt;Jakub Montewka;Vladimir Kuzmin;Pentti Kujala.
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