Engineering Applications of Artificial Intelligence

RA experimental data

The provided dataset includes 11430 URLs with 87 extracted features. The dataset are designed to be used as a a benchmark for machine learning based phishing detection systems. Features are from three different classes: 56 extracted from the structure and syntax of URLs, 24 extracted from the content of their correspondent pages and 7 are extracetd by querying external services. The datatset is balanced, it containes exactly 50% phishing and 50% legitimate URLs. Associated to the dataset, we provide Python scripts used for the extraction of the features for potential replication or extension. Datasets are constructed on May 2020. dataset_A: contains a list a URLs together with their DOM tree objects that can be used for replication and experimenting new URL and content-based features overtaking short-time living of phishing web pages. dataset_B: containes the extracted feature values that can be used directly as inupt to classifiers for examination. Note that the data in this dataset are indexed with URLs so that one need to remove the index before experimentation.

wti crude oil price GSVI data economic data

Academic spaces are an environment that promotes student performance not only because of the quality of its equipment, but also because of its ambient comfort conditions, which can be controlled by means of actuators that receive data from sensors. Something similar can be said about other environments, such as home, business, or industry environment. However, sensor devices can cause faults or inaccurate readings in a timely manner, affecting control mechanisms. The mutual relationship between ambient variables can be a source of knowledge to predict a variable in case a sensor fails. Moreover, the relationship between these variables and the occupation of spaces by students over time also contains an adequate knowledge of the context for prediction. This dataset provides sensor readings from sensors over time in different academic rooms. The data are supplied in a file in Excel format .xlsx. It containts several sheets corresponding with the different smart spaces (laboratories and classrooms). Each dataset is a matrix where the rows are the time dates of the readings, and there are three columns for the sensor readings of temperature, CO2 and humidity.

CubeSat Training and Test Dataset used for the training, validation and testing of ultralight CubeSatNet CNN model designed for 1U CubeSat

Training and Testing data for the 6 PSS parallel robot

The attached file includes our input parameters in the computational results.

Complete datasets corresponding to the robots used for the experiments.

source data for the paper "A population-based iterated greedy algorithm for no-wait job shop scheduling with total flow time criterion"

36 daily time series data of stock markets and commodities.