D. Konovessis

发表

Practical-Oriented Teaching in Naval Architecture via Blended and Project-based Learning

Z. Y. Tay, D. Konovessis, Roy Ong Chin Peng, 2020, 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE).

Filtering harbor craft vessels’ fuel data using statistical, decomposition, and predictive methodologies

Z. Y. Tay, D. Konovessis, J. Hadi, 2022, Maritime Transport Research.

Ship Navigation and Fuel Profiling based on Noon Report using Neural Network Generative Modeling

Z. Y. Tay, D. Konovessis, J. Hadi, 2022, Journal of Physics: Conference Series.

Achieving fuel efficiency of harbour craft vessel via combined time-series and classification machine learning model with operational data

Z. Y. Tay, D. Konovessis, J. Hadi, 2022, Maritime Transport Research.

Sustainable Hybrid Marine Power Systems for Power Management Optimisation: A Review

Z. Y. Tay, D. Konovessis, Sharul Baggio Roslan, 2022, Energies.

Big Data Analytics and Machine Learning of Harbour Craft Vessels to Achieve Fuel Efficiency: A Review

Z. Y. Tay, D. Konovessis, J. Hadi, 2021, Journal of Marine Science and Engineering.

Sustainable energy propulsion system for sea transport to achieve United Nations sustainable development goals: a review

Z. Y. Tay, D. Konovessis, 2023, Discover Sustainability.

Self-labelling of tugboat operation using unsupervised machine learning and intensity indicator

Z. Y. Tay, D. Konovessis, J. Hadi, 2023, Maritime Transport Research.

An Artificial Neural Network for fuel efficiency analysis for cargo vessel operation

Z. Y. Tay, D. Konovessis, M. Fam, 2022, Ocean Engineering.

Efficient Harbor Craft Monitoring System: Time-Series Data Analytics and Machine Learning Tools to Achieve Fuel Efficiency by Operational Scoring System

Z. Y. Tay, D. Konovessis, J. Hadi, 2021, Volume 6: Ocean Engineering.

An Artificial Neural Network Based Decision Support System for Cargo Vessel Operations

Z. Y. Tay, D. Konovessis, M. Fam, 2021, Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021).

A review of offshore decommissioning regulations in five countries – Strengths and weaknesses

M. L. Fam, L. S. Ong, Dimitrios Konovessis, 2018, Ocean Engineering.

A new ship safety management approach - learning from the past, managing future risks

Dracos Vassalos, Wenkui Cai, Dimitrios Konovessis, 2014 .

EEG-Based Mental Workload and Stress Monitoring of Crew Members in Maritime Virtual Simulator

Olga Sourina, Yisi Liu, Serene Hui Ping Liew, 2018, Trans. Comput. Sci..

Data learning and expert judgment in a Bayesian belief network for aiding human reliability assessment in offshore decommissioning risk assessment

Lin Seng Ong, Xuhong He, Dimitrios Konovessis, 2020 .

Influence of ship design and operational factors on human performance and evaluation of effects and sensitivity using risk models

Olga Sourina, Dimitrios Konovessis, Gopala Krishnan, 2019, Ocean Engineering.

EEG-based Cadets Training and Performance Assessment System in Maritime Virtual Simulator

Olga Sourina, Yisi Liu, Zirui Lan, 2018, 2018 International Conference on Cyberworlds (CW).

Using Dynamic Bayesian Belief Network for analysing well decommissioning failures and long-term monitoring of decommissioned wells

Lin Seng Ong, Xuhong He, Dimitrios Konovessis, 2020, Reliab. Eng. Syst. Saf..

Neuroscience Based Design: Fundamentals and Applications

Wei Tech Ang, Olga Sourina, Wolfgang Müller-Wittig, 2016, 2016 International Conference on Cyberworlds (CW).

Rule-Based Control Studies of LNG–Battery Hybrid Tugboat

Z. Y. Tay, J. H. Ang, Nirmal Vineeth Menon, 2023, Journal of Marine Science and Engineering.

Improvement of ship stability and safety in damaged condition through operational measures: Challenges and opportunities

Evangelos Boulougouris, Jakub Cichowicz, Andrzej Jasionowski, 2016 .

Risk analysis for RoPax vessels: A case of study for the Strait of Gibraltar

Nieves Endrina, Dimitrios Konovessis, Juan C. Rasero, 2018 .

Real-Time Instance Segmentation for Detection of Underwater Litter as a Plastic Source

Z. Y. Tay, D. Konovessis, Brendan Chongzhi Corrigan, 2023, Journal of Marine Science and Engineering.

EEG-based Mental Workload and Stress Recognition of Crew Members in Maritime Virtual Simulator: A Case Study

Olga Sourina, Yisi Liu, Serene Hui Ping Liew, 2017, 2017 International Conference on Cyberworlds (CW).

Psychophysiological evaluation of seafarers to improve training in maritime virtual simulator

Olga Sourina, Zirui Lan, Hock Eng Ang, 2020, Adv. Eng. Informatics.