ERD

Bridging the Chasm between Science and Reality

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

VesselAI HPC Hw/Sw Requirements and Specifications

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

VesselAI Models, AI methods and Tools- v1.00

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Final VesselAI Methodology

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Specifications of the AI On-Demand platform extensions and research activities-V2.00

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Plan for Dissemination, Communication and Stakeholder Engagement

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Specifications of the AI On-Demand platform extensions and research activities

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

VesselAI Extreme-scale data processing, management services and semantics - v1.00

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

State-of-the-art analysis and data sources

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

VesselAI Validation and Evaluation Framework

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

ATSC-NEX: Automated Time Series Classification With Sequential Model-Based Optimization and Nested Cross-Validation

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Data-driven digital twins for the maritime domain

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

The Piraeus AIS dataset for large-scale maritime data analytics

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Optimizing complex event forecasting

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Methodology for Approval of Autonomous Ship Systems CONOPS

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

MaSEC: Discovering Anchorages and Co-movement Patterns on Streaming Vessel Trajectories

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

ST_VISIONS: A Python Library for Interactive Visualization of Spatio-temporal Data

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

MARVEL Workshop - DATAWEEK2022 - The challenges of the extreme-scale multi-modal analytics applications

Project: VesselAI

Updated at: 31-07-2023

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Project acronym VesselAI

Resources

Selected filters:

Bridging the Chasm between Science and Reality

Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison

VesselAI HPC Hw/Sw Requirements and Specifications

VesselAI Models, AI methods and Tools- v1.00

Final VesselAI Methodology

Specifications of the AI On-Demand platform extensions and research activities-V2.00

Plan for Dissemination, Communication and Stakeholder Engagement

Specifications of the AI On-Demand platform extensions and research activities

VesselAI Extreme-scale data processing, management services and semantics - v1.00

State-of-the-art analysis and data sources

VesselAI Validation and Evaluation Framework

ATSC-NEX: Automated Time Series Classification With Sequential Model-Based Optimization and Nested Cross-Validation

Data-driven digital twins for the maritime domain

The Piraeus AIS dataset for large-scale maritime data analytics

Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach

Optimizing complex event forecasting

Methodology for Approval of Autonomous Ship Systems CONOPS

MaSEC: Discovering Anchorages and Co-movement Patterns on Streaming Vessel Trajectories

ST_VISIONS: A Python Library for Interactive Visualization of Spatio-temporal Data

Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison

MARVEL Workshop - DATAWEEK2022 - The challenges of the extreme-scale multi-modal analytics applications