Buch, Englisch, 336 Seiten, Format (B × H): 155 mm x 235 mm
Select Proceedings of ICOE 2025
Buch, Englisch, 336 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Civil Engineering
ISBN: 978-981-9233-31-1
Verlag: Springer
This volume presents selected contributions from the 7th International Conference on Ocean Engineering (ICOE 2025), hosted by the Indian Institute of Technology Madras, India. The book brings together recent developments in ocean engineering and highlights their relevance to the emerging blue economy, with emphasis on sustainable use of ocean resources, resilient infrastructure, and technology-driven marine solutions.
The chapters cover a broad range of themes, including offshore renewable energy, coastal and offshore structures, marine hydrodynamics, ocean energy systems, offshore geotechnics, subsea engineering, marine transportation, and climate-resilient coastal development. Several contributions also explore the growing role of computational methods, data-driven approaches, and artificial intelligence in addressing complex ocean engineering problems.
The book reflects both academic research and industry-oriented applications, presenting experimental investigations, numerical modelling, field studies, and design methodologies relevant to present-day marine challenges. It also discusses technologies and engineering practices that support the sustainable development of marine resources while addressing environmental and operational considerations.
Intended for researchers, practicing engineers, policymakers, and graduate students, this volume provides current perspectives and practical insights into advances shaping the future of ocean engineering and the blue economy.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Bauingenieurwesen Gebäudebrandschutz
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Kontinuumsmechanik
- Geowissenschaften Geologie Marine Geologie, Ozeanographie (Meereskunde)
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Meerestechnik, ablandige Plattformen
Weitere Infos & Material
Performance Study of Bio-inspired Propeller Design for the Efficient and Silent Flight of Swarm Drones.- Early Detection of Harmful Algal Blooms by Integrating Machine Learning Models.- Fault Detection in Ball Bearings applying physics informed Frequency- features using Deep Learning.- Eutrophication in Temperate Lakes: AI-Driven Mitigation Strategies.- Artificial Intelligence Algorithms for SWARM-Based AUV Control.- NeuroQAE: Enhancing Fish Species Classification through Reinforcement Learning Driven Autoencoders.- AI-Driven Wave Dynamics Analysis: Investigating Wind-Wave Interactions in a Controlled Environment.- A comparative study on the Machine Learning and Deep Learning algorithms in the prediction of wave parameters.- Prediction of Inland Water Bodies(IWB) from Multi-Spectral Images and Comparative analysis using Deep Learning Models.- Trajectory tracking control of Unmanned surface vehicles with thruster fault accommodation in the presence of environmental disturbances using adaptive sliding mode control.- Implementation of ship energy meter onboard vessel to address the GHG emission problems.- Numerical investigation of the effect of air lubrication system on a medium Froude number displacement vessel.- Estimating Hydrodynamic Parameters of Marine Propellers: A Study on Composite Materials.- Enhancing Ship Performance Through Stern Flap Optimisation: Insights from Experiments, Simulations, and Machine Learning.- Improving Safer Navigation Buoy Handling Operations with System Interface Approach.- Numerical Investigation of the slamming load on wedge shaped bodies using IITM-RANS3D.




