[HTML][HTML] Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review
Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …
Ship Collision Risk Evaluation using AIS and weather data through fuzzy logic and deep learning
AK Korupoju, V Kapadia, AS Vilwathilakam… - Ocean …, 2025 - Elsevier
Abstract According to the European Maritime Safety Agency, marine casualties and
incidents are mainly caused by 'Human action'which highlights the need for more advanced …
incidents are mainly caused by 'Human action'which highlights the need for more advanced …
Risk Assessment and Traffic Behaviour Evaluation of Ships
JC Huang, ST Ung - Journal of Marine Science and Engineering, 2023 - mdpi.com
Recent advancements in information technology and ship equipment have led to massive
data collection on maritime traffic, particularly through automatic identification systems (AIS) …
data collection on maritime traffic, particularly through automatic identification systems (AIS) …
On Vessel Location Forecasting and the Effect of Federated Learning
The wide spread of Automatic Identification System (AIS) has motivated several maritime
analytics operations. Vessel Location Forecasting (VLF) is one of the most critical operations …
analytics operations. Vessel Location Forecasting (VLF) is one of the most critical operations …
Collision-Risk-Aware Ship Routing
PT Michalski, N Preuß, M Renz, A Tritsarolis… - Proceedings of the …, 2024 - dl.acm.org
This paper addresses short-term Collision-Risk-Aware ship route planning while utilizing a
deep learning-based Vessel Collision Risk Assessment and Forecasting (VCRA/F) …
deep learning-based Vessel Collision Risk Assessment and Forecasting (VCRA/F) …
VesselVision: Fleet Safety Awareness over Streaming Vessel Trajectories
The massive-scale data generation of positioning (tracking) messages, collected by various
surveillance means, has posed new challenges in the field of mobility data analytics in terms …
surveillance means, has posed new challenges in the field of mobility data analytics in terms …
Deep learning for risky encounter prediction: Leveraging LSTM networks and AIS data
The maritime industry relies heavily on large-capacity vessels, raising concerns regarding
the reliability, safety, and stability of maritime transportation. Predicting risky encounters is …
the reliability, safety, and stability of maritime transportation. Predicting risky encounters is …
[PDF][PDF] Towards understanding privacy-aware artificial intelligence
A Tritsarolis - 2022 - dspace.lib.ntua.gr
The vast spread of IoT-enabled devices, such as (bio-) sensors, smartwatches,
smartphones, and GPS trackers, has led to the production of vast amounts of medical …
smartphones, and GPS trackers, has led to the production of vast amounts of medical …
[PDF][PDF] Identification of Anomalies in Navigation Using a Machine Learning Algorithm Trained on Ais Data
The desire to improve the safety of navigation, especially in restricted and very busy areas
like the straits, leads researchers to evaluate possible uses of the Artificial Intelligence as an …
like the straits, leads researchers to evaluate possible uses of the Artificial Intelligence as an …