The project SuperPower 2.0 developed thanks to I-NERGY second open call has developed super-resolution algorithms to increment the pixels in a thermal image using Convolutional Neural Networks. The datasets included consists of two subserts of original t...
The project SuperPower 2.0 developed thanks to I-NERGY second open call has developed super-resolution algorithms to increment the pixels in a thermal image using Convolutional Neural Networks. The datasets included consists of two subserts of original ...
Datasets used to train a Deep Learning model for estimating the day-ahead wind speed at hourly basis. Developed by AMIGO s.r.l. for the ARIA project, part of the I-NERGY 2nd Open Call.
This data broker can load open datasets from https://www.rebase.energy/datasets. This will enable access to all upcoming open datasets in the Rebase Platform. The goal of this broker is to make it easy for anyone on the AIOD platform to access additional ...
This asset is the open dataset used for the experiment and for develop the proof of concept. It is an open dataset of SCADA data for Energy Management Systems.
The asset presents a datasets related to the hourly and daily electricity consumption of buildings located in Helsinki and weather-related indicators from the nearest meteorological station
A collection of 250 images taken in a vineyard in Ribera de Duero, annotated using bounding boxes, to train and validate object detection models.
Docker container providing access to the repository storing the Cardio-Vascular Disease dataset.
Keyphrase prediction is a significant task in natural language processing that aims to generate concise phrases summarizing a document. Researchers have conducted extensive studies using statistical and deep learning methods, as well as incorporating exte...