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THRUST-AID: Clearing Object Detection Model
THRUST-AID YOLOv8-based Clearing Object Detection model will help investigate the surroundings of the powerline based on RGB aerial data and indicate potential threats
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THRUST-AID YOLOv8-based Clearing Object Detection model will help investigate the surroundings of the powerline based on RGB aerial data and indicate potential threats
The Machine Learning (ML) models used to predict both energy needs and future environmental parameters of the some retail stores in Italy
The AI4CNC experiment is designed to develop a Federated Learning System Platform for CNC machines to estimate tool wear through AI models and secure data sharing. The main objective is to use data from TEKNOPAR's CNC machines and sensors to estimate tool...
OPTIMAL for cOPernicus irrigaTION mAnagement tooLkit is a combination of state-of-the-art Machine Learning techniques that is designed to forecast environmental parameters which enable the delivery of irrigation needs intelligence. The model presented ...
This AI model developed in the EO4NOWCAST project allows to estimate a current Soil Moisture Map starting from two inputs: - The most recent NDMI map available from Copernicus - The cumulative rainfall map
ATransCribe is a speech-to-text service. It uses Whisper model for transcription. Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech ...
Descriptions of the implementation of the Vessel Traffic Flow Forecasting (VTFF) model that forecasts the vessel traffic flow within a given region.
An improved version of the core parts of the code that implements the Vessel Location Forecasting (VLF) and Vessel Route Forecasting (VRF) methods.
Novel framework for Playable Video Generation that is trained in a self-supervised manner on a large dataset of unlabelled videos. We employ an encoder-decoder architecture where the predicted action labels act as bottleneck. The network is constrained to...