Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

ZH Munim, M Dushenko, VJ Jimenez… - Maritime Policy & …, 2020 - Taylor & Francis
This study provides a bibliometric review of 279 studies on the applications of big data and
artificial intelligence (AI) in the maritime industry, published in 214 academic outlets …

Tackling climate change with machine learning

D Rolnick, PL Donti, LH Kaack, K Kochanski… - ACM Computing …, 2022 - dl.acm.org
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

[HTML][HTML] Deep learning-based ship speed prediction for intelligent maritime traffic management

S El Mekkaoui, L Benabbou, S Caron… - Journal of marine science …, 2023 - mdpi.com
Improving maritime operations planning and scheduling can play an important role in
enhancing the sector's performance and competitiveness. In this context, accurate ship …

[PDF][PDF] New migration data: Challenges and opportunities

F Rampazzo, M Rango, I Weber - Handbook of computational …, 2023 - library.oapen.org
Migration is hard to measure due to the complexity of the phenomenon and the limitations of
traditional data sources. The Digital Revolution has brought opportunities in terms of new …

[BUKU][B] Tracking trade from space: An application to pacific island countries

MS Arslanalp, MR Koepke, J Verschuur - 2021 - books.google.com
This paper proposes an easy-to-follow approach to track merchandise trade using vessel
data and applies it to Pacific island countries. Pacific islands rely heavily on imports and …

From plague to coronavirus: vessel trajectory data from ship automatic identification systems for epidemic modeling

KE Hoffmann Pham… - Journal of Travel Medicine, 2020 - academic.oup.com
In addition to moving people and goods, ships can spread disease. Vessel trajectory data
from ship Automatic Identification Systems (AIS) is available online and can be extracted …

Datenmanagement für dezentrale maritime Forschungs-und Entwicklungsdaten im Testfeldkontext

CJ Möller - 2023 - oops.uni-oldenburg.de
In den letzten Jahren wurden zahlreiche neue Ansätze für maritime Assistenzsysteme
entwickelt, die immer datenintensivere Verfahren nutzen, etwa um Trajektorien zu …

МЕТОДИКА РОЗРОБКИ КАСКАДНОЇ МОДЕЛІ РОЗРАХУНКУ КООРДИНАТ СУДНА НА ОСНОВІ ГЛИБОКОГО НАВЧАННЯ

ЛЛ Пліта, ІВ Трофименко, ВМ Федунов… - ВОДНИЙ …, 2024 - vt.duit.in.ua
Анотація Метою статті є дослідження методики розробки каскадної моделі розрахунку
координат судна на основі глибокого навчання, здатної прогнозувати відносну …