An Efficient LSTM Neural Network-Based Framework for Vessel Location Forecasting
An improved version of the core parts of the code that implements the Vessel Location Forecasting (VLF) and Vessel Route Forecasting (VRF) methods.
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An improved version of the core parts of the code that implements the Vessel Location Forecasting (VLF) and Vessel Route Forecasting (VRF) methods.
The model developed called SLIDE for SateLlite Images prediction with Deep Learning is a combination of state-of-the-art AI techniques that is designed to forecast irradiance maps. It uses up to four satellite-derived irradiance maps in order to genera...
RF & OpenAIS Dashboard to allow users to quickly examine data without the need for custom software packages. This map compares AIS data with satellite-detected RF data.
Automatic detection of in-field weeds using super-resolved Sentinel-2 at 1m per pixel imagery and delineated field boundaries.
The main sources of potential pollution during armed conflicts are usually heavy industrial sites and critical infrastructure that, when damaged, could result in major chemical releases. Therefore, a useful starting point is to identify vulnerable locatio...
A Docker service to train segmentation models for Sentinel 2 patches.
North and Central Mali entail the country’s highest prevalence of vulnerable communes siting at the intersection of chronic vulnerability, food insecurity, and armed conflict. Humanitarian and development programs are faced with diverse challenges in the ...
Detection of physical objects in still images or videos
The dataset contains power data measured by smart meters in a residential building in 2022