CSV
Video dataset of 102 participants for the paper "Learning deep representations for video-based intake gesture detection"
- Categories:
113 Views
Archival bundle of District Information System for Education (DISE) Delhi primary to upper-primary level schools in academic session 2012-2013. DISE is a school-level dataset consisting of government-recognized schools. It is a joint initiative of the Government of India, UNICEF and the National University of Education and Planning (NUPEA).
- Categories:
214 Views
Matlab Simulink was used to develop an emulator for the Viessmann Vitorond 200 Gas Fired Boiler VD2 Series 380 and a series of faults were modeled along with normal data across the expected range of operation to create a labelled dataset with approximately 27,500 cases for training and testing boiler fault classification models.
- Categories:
892 Views
Empirical line methods (ELM) are frequently used to correct images from aerial remote sensing. Remote sensing of aquatic environments captures only a small amount of energy because the water absorbs much of it. The small signal response of the water is proportionally smaller when compared to the other land surface targets.
This dataset presents some resources and results of a new approach to calibrate empirical lines combining reference calibration panels with water samples. We optimize the method using python algorithms until reaches the best result.
- Categories:
1255 Views
The dataset is used in the paper entitled "A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost" as fuzzy rules extracted by XGboost
- Categories:
284 Views
This in an artificial imbalanced data set.
- Categories:
102 Views
The dataset is used in machine learning method of the "A distributed Front-end Edge node assessment model by using Fuzzy and a learning-to-rank method" paper
- Categories:
157 Views
This dataset is related to the paper "A distributed Front-end Edge node assessment method by using a learning-to-rank method"
Normal
0
false
false
false
EN-US
JA
AR-SA
- Categories:
185 Views
This dataset contains heavy-machinery data from the Brazilian industrial sector. The data was collected in a poultry feed factory located in the state of Minas Gerais, Brazil. Its process can be summarized to creating pellets of ration for poultry from corn or soybeans and added nutrients. The factory produces at fullscale over the entire year, thus it has well-behaved usage patterns at any time. It operates from Mondays through Fridays (and occasionally on Saturdays, in case production is below the monthly target) on a daily three-turn shift from 10:00 PM to 05:00 PM.
- Categories:
7426 Views
High energy consumption is a challenging issue that an ever increasing number of mobile applications face today.
However, energy consumption is being tested in an ad hoc way, despite being an important non-functional requirement of an application.
Such limitation becomes particularly disconcerting during software testing: on the one hand, developers do not really know how to measure energy; on the other hand, there is no knowledge as to what is the energy overhead imposed by the testing framework.
- Categories:
154 Views