Dimitrios Lyridis
Dimitrios Lyridis
Assoc. Professor, NTUA
Verified email at - Homepage
Cited by
Cited by
Forecasting tanker market using artificial neural networks
DV Lyridis, P Zacharioudakis, P Mitrou, A Mylonas
Maritime Economics & Logistics 6, 93-108, 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
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
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
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
Liquid bulk shipping
DV Lyridis, P Zacharioudakis
The Blackwell Companion to Maritime Economics, 205-229, 2012
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
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
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
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
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
Protectionist vs liberalised maritime cabotage policies: a review
ACP Casaca, DV Lyridis
Maritime Business Review 3 (3), 210-242, 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
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
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
The economics of ships
HN Psaraftis, DV Lyridis, CA Kontovas
The Blackwell Companion to Maritime Economics, 371-391, 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
LNG vs. MDO in marine fuel emissions tracking
S Livaniou, G Chatzistelios, DV Lyridis, E Bellos
Sustainability 14 (7), 3860, 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
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
The system can't perform the operation now. Try again later.
Articles 1–20