Forecasting tanker market using artificial neural networks DV Lyridis, P Zacharioudakis, P Mitrou, A Mylonas Maritime Economics & Logistics 6, 93-108, 2004 | 105 | 2004 |
An improved ant colony optimization algorithm for unmanned surface vehicle local path planning with multi-modality constraints DV Lyridis Ocean Engineering 241, 109890, 2021 | 80 | 2021 |
Optimizing shipping company operations using business process modelling DV Lyridis, T Fyrvik, GN Kapetanis, N Ventikos, P Anaxagorou, E Uthaug, ... Maritime Policy & Management 32 (4), 403-420, 2005 | 58 | 2005 |
Liner shipping cycle cost modelling, fleet deployment optimization and what-if analysis PG Zacharioudakis, S Iordanis, DV Lyridis, HN Psaraftis Maritime Economics & Logistics 13, 278-297, 2011 | 34 | 2011 |
A comparative study on ant colony optimization algorithm approaches for solving multi-objective path planning problems in case of unmanned surface vehicles C Ntakolia, DV Lyridis Ocean Engineering 255, 111418, 2022 | 33 | 2022 |
Liquid bulk shipping DV Lyridis, P Zacharioudakis The Blackwell Companion to Maritime Economics, 205-229, 2012 | 31 | 2012 |
Financial risk assessment in shipping: a holistic machine learning based methodology M Clintworth, D Lyridis, E Boulougouris Maritime Economics & Logistics 25 (1), 90-121, 2023 | 17 | 2023 |
A swarm intelligence graph-based pathfinding algorithm based on fuzzy logic (sigpaf): A case study on unmanned surface vehicle multi-objective path planning C Ntakolia, DV Lyridis Journal of Marine Science and Engineering 9 (11), 1243, 2021 | 17 | 2021 |
Ship to shore electric interconnection: From adolescence to maturity J Prousalidis, D Lyridis, S Dallas, Z Soghomonian, V Georgiou, D Spathis, ... 2017 IEEE Electric Ship Technologies Symposium (ESTS), 200-206, 2017 | 17 | 2017 |
A reference architecture for cloud–edge meta-operating systems enabling cross-domain, data-intensive, ML-assisted applications: Architectural overview and key concepts P Trakadas, X Masip-Bruin, FM Facca, ST Spantideas, AE Giannopoulos, ... Sensors 22 (22), 9003, 2022 | 16 | 2022 |
A framework for modelling and benchmarking maritime clusters: An application to the maritime cluster of Piraeus VK Zagkas, DV Lyridis Advances in maritime logistics and supply chain systems, 131-156, 2011 | 15 | 2011 |
Protectionist vs liberalised maritime cabotage policies: a review ACP Casaca, DV Lyridis Maritime Business Review 3 (3), 210-242, 2018 | 13 | 2018 |
The ports as smart micro-grids: development perspectives J Prousalidis, DV Lyridis, S Dallas, C Papaleonidas, P Mitrou, E Vergetis, ... Proceedings of ΗΑΕΕ, 12-16, 2017 | 13 | 2017 |
Cost-benefit analysis for ship automation retrofit: the case of icebreaker Frej DV Lyridis, HN Psaraftis, N Ventikos, P Zacharioudakis, K Dilzas Marine technology and SNAME news 42 (02), 113-124, 2005 | 13 | 2005 |
A n − D ant colony optimization with fuzzy logic for air traffic flow management C Ntakolia, DV Lyridis Operational Research 22 (5), 5035-5053, 2022 | 12 | 2022 |
The economics of ships HN Psaraftis, DV Lyridis, CA Kontovas The Blackwell Companion to Maritime Economics, 371-391, 2012 | 12 | 2012 |
Radio frequency identification (RFID) technology in ocean container transport PS Tsilingiris, HN Psaraftis, DV Lyridis International Association of Maritime Economists Conference,, July, 4-6, 2007 | 12 | 2007 |
LNG vs. MDO in marine fuel emissions tracking S Livaniou, G Chatzistelios, DV Lyridis, E Bellos Sustainability 14 (7), 3860, 2022 | 11 | 2022 |
Modeling the dry bulk shipping market using macroeconomic factors in addition to shipping market parameters via artificial neural networks DV Lyridis, ND Manos, PG Zacharioudakis International Journal of Transport Economics 41 (2), 231-253, 2014 | 11 | 2014 |
Freight-forward agreement time series modelling based on artificial neural network models/Modeliranje casovnih vrst terminskih pogodb na prevozne stroske z uporabo umetnih … D Lyridis, P Zacharioudakis, S Iordanis, S Daleziou Strojniski Vestnik-Journal of Mechanical Engineering 59 (9), 511-518, 2013 | 11 | 2013 |