LSTM Keras Neural Network to predict ship location using Danish AIS data
☆52Sep 4, 2018Updated 7 years ago
Alternatives and similar repositories for AIS-LSTM
Users that are interested in AIS-LSTM are comparing it to the libraries listed below
Sorting:
- A geometric-driven semi-supervised approach for fishing activity detection from AIS data.☆12Aug 24, 2022Updated 3 years ago
- This is an repository for the paper named 'a novel ship movement classification from AIS data based on convolutional neural network'.☆42Apr 17, 2020Updated 5 years ago
- Preprocessing data based on https://marinecadastre.gov/ais/☆33Dec 8, 2022Updated 3 years ago
- A Pandas-Based Computational Framework for the Detection of Ship Stop Points in AIS Data☆20Dec 9, 2024Updated last year
- Risk distribution of collision of ships along China's coast☆37Oct 15, 2020Updated 5 years ago
- A multi-task model for vessel monitoring using AIS data streams☆81Mar 26, 2020Updated 5 years ago
- Public filtered data sets of AIS Trajectories from Danish Waters. Data sets vary in ROI size, time period, included ship types ect. Some …☆13Oct 23, 2023Updated 2 years ago
- A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection☆159Dec 22, 2023Updated 2 years ago
- Pytorch implementation of TrAISformer---A generative transformer for AIS trajectory prediction (https://arxiv.org/abs/2109.03958).☆184Sep 12, 2023Updated 2 years ago
- ☆38Oct 5, 2020Updated 5 years ago
- lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.☆123Apr 20, 2021Updated 4 years ago
- Source code for the "Collision Risk Assessment and Forecasting on Maritime Data" paper☆13Oct 8, 2023Updated 2 years ago
- the calculation of dcpa ,tcpa,diatance and true bearing between ships☆11Nov 14, 2019Updated 6 years ago
- Vessel traffic data, or Automatic Identification System (AIS) data, are collected by the U.S. Coast Guard through an onboard navigation s…☆23Nov 3, 2019Updated 6 years ago
- An analysis of AIS ship tracks through clustering, network analysis, and time series analysis.☆10Dec 16, 2020Updated 5 years ago
- Code for trajectory mining, including three parts: 1) trajectory preprocessing, 2) OD points clustering for route patterns discovery, and…☆11Mar 13, 2019Updated 6 years ago
- ☆13Mar 8, 2023Updated 3 years ago
- Implement the Douglas-Peucker algorithm to compress trajectories.☆11Sep 10, 2015Updated 10 years ago
- Process automatic identification system (AIS) shipping data for various development purposes☆16Nov 30, 2021Updated 4 years ago
- Training data detecting fishing behaviour in vessel movement patterns☆41Sep 2, 2021Updated 4 years ago
- Python AIS Tools Environment☆26Nov 9, 2017Updated 8 years ago
- A python framework to predict trajectories of vessels with machine learning algorithms, such as lstm, seq2seq, etc.☆51Aug 31, 2021Updated 4 years ago
- ☆14Mar 5, 2025Updated last year
- In this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…☆28Jun 29, 2023Updated 2 years ago
- AIS data processing for statistics and maps☆27Sep 29, 2020Updated 5 years ago
- PyTorch implementation for Social-LSTM, which is built to predict multi-vessel trajectories.☆74Feb 25, 2022Updated 4 years ago
- Based on the first-order Nomoto model and an improved PID controller, the project realizes real-time tracking control and visualization o…☆15Sep 9, 2025Updated 6 months ago
- ☆36May 2, 2021Updated 4 years ago
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- A ship tracking website that can combine data from multiple sources☆31Feb 21, 2022Updated 4 years ago
- ☆10Dec 10, 2021Updated 4 years ago
- This project is an algorithm implementation and experimental platform focusing on the path planning of unmanned surface vessels (USVs). U…☆26Sep 9, 2025Updated 6 months ago
- Introductory course on Deep Learning for Ocean and Atmosphere Dynamics☆10Feb 25, 2026Updated last week
- a Federated Learning Framework adapted for resource-constrained environments, focusing on IoT devices☆10Oct 6, 2025Updated 5 months ago
- Tools for estimating emissions from commercial marine vessels.☆15Apr 27, 2022Updated 3 years ago
- Implementation of Dynamic Computation Offloading Control Logic in a Software-Defined Vehicle (SDV) System☆11Dec 19, 2024Updated last year
- Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example cou…☆39Aug 20, 2020Updated 5 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- My undergraduate final project - Modeling and control of a distillation column using neural networks and reinforcement learning.☆12Apr 28, 2020Updated 5 years ago