Artificial Intelligence

The historical dataset of the meteorological variables was recorded by the Mexican National Water Council (Comisión Nacional del Agua, CONAGUA) ground station located at the city of Mérida, Yucatán, Mexico; the following variables were found: temperature (T), vapor pressure (P), and relative humidity (H). The range dates of the records were from January 1, 2000 to September 30, 2018, where there is a daily record of temperatures with minimum, maximum, and average units, resulting in nine readings provided for each day.

Table Detection is a fundamental task for visually rich document understanding. However, popular public datasets widely used in related studies have inherent limitations, including noisy and inconsistent samples, limited training samples and limited data sources.

The advancements in the field of telecommunications have resulted in an increasing demand for robust, high-speed, and secure connections between User Equipment (UE) instances and the Data Network (DN). The implementation of the newly defined 3rd Generation Partnership Project 3GPP (3GPP) network architecture in the 5G Core (5GC) represents a significant leap towards fulfilling these demands. This architecture promises faster connectivity, low latency, higher data transfer rates, and improved network reliability.

There is a growing trend towards combining mathematics and computer science education. Although there are surely synergies between the two disciplines, has sufficient thought been given to the benefit of fostering independently the unique skillsets they offer in order to best harness these synergies?

In our dataset Traffic forecast data, Traffic data contains Traffic flow data and Traffic speed data.

where Traffic flow data contains the data we want to forecast and Traffic speed data is the external information we introduce The forecast range is *min.

The forecast range is *min These four folders contain Adjacency matrix + multiorder matrix and Adjacency matrix + multiorder matrix + global matrix for different forecast durations, respectively.

Horticulture recomendation system

Three exemplary knee bone models derived from ultrasound imaging and their respective magnetic resonance imaging reference.

Apart from the ground truth, a partial scan as accessable by ultrasound imaging as well as full bone model computed by a statistical shape model is provided.

This is an image illustrating the work of the proposed visual SLAM algorithm.

This is an image illustrating the work of the proposed visual SLAM algorithm.

The Extended Moulouya Bird Detection Dataset (E-Moulouya BDD) is a comprehensive collection of annotated images proposed for bird detection. The dataset is a combination of three datasets, namely the XMBA dataset, the Rest Birds Dataset, and the D-Birds Dataset, which were merged and cleaned up to provide a consistent and unified labeling format. The E-Moulouya BDD comprises 13,000 annotated images, labeled with a standardized format to ensure consistency across the dataset. The dataset is publicly available on IEEE DATAPORT, making it an ideal resource for use by the scientific community.