*.csv
The dataset is composed of digital signals obtained from a capacitive sensor electrodes that are immersed in water or in oil. Each signal, stored in one row, is composed of 10 consecutive intensity values and a label in the last column. The label is +1 for a water-immersed sensor electrode and -1 for an oil-immersed sensor electrode. This dataset should be used to train a classifier to infer the type of material in which an electrode is immersed in (water or oil), given a sample signal composed of 10 consecutive values.
- Categories:
2340 Views
This dataset contains the experimental materials for "Use and Perceptions of Multi-Monitor Workstations".
There are two files:
- survey.txt: the survey questions
- survey-results.csv: the answers obtained from the 101 respondents tot he survey
- Categories:
126 Views
Most text-simplification systems require an indicator of the complexity of the words. The prevalent approaches to word difficulty prediction are based on manual feature engineering. Using deep learning based models are largely left unexplored due to their comparatively poor performance. We have explored the use of one of such in predicting the difficulty of words. We have treated the problem as a binary classification problem. We have trained traditional machine learning models and evaluated their performance on the task.
- Categories:
2738 Views
The data uploaded here shall support the paper
Decision Tree Analysis of ...
which has been submitted to IEEE Transactions on Medical Imaging (2020, September 25) by the authors
Julian Mattes, Wolfgang Fenz, Stefan Thumfart, Gerhard Haitchi, Pierre Schmit, Franz A. Fellner
During review the data shall only be visible for the reviewers of this paper. Afterwards this abstract will be modified and complemented and a dataset image will be uploaded.
- Categories:
241 Views
Logs from running Monte Carlo simulation as serverless functions on Frankfurt, North Virginia, Tokyo regions of four FaaS systems (AWS, Google, IBM, Alibaba).
Each execution is repeated 5 times (all are warm start).
The conducted analysis is a part of a submitted manuscript to IEEE TSC.
- Categories:
630 Views
This dataset was extracted from Twitter using keywords related to Dilma Roussef and Aécio Neves, that were the candidates of the second round of the 2014 presidential election in Brazil. This dataset contains texts in Portuguese and the respective classification of sentiments resulting from the techniques described in the article published in the 2018 IEEE International Conference on Data Mining Workshops - ICDMW (https://ieeexplore.ieee.org/abstract/document/8637504).
- Categories:
238 Views
This Dataset includes the lsit of articles indexed by Google Scholar from 2003-2019, realted to: Edge Computing, Fog Computing, Multi-Access Edge Computing, Mobile Cloud Computing.
The data has been cleaned by removing duplicates, non-english articles, un-realted articles (i.e. computing edges in a picture is not about Edge Computing) and articles that weren't directly or easily accessable.
- Categories:
1231 Views
Complete results of the uni and bidimensional analyses related to the article: Maneuver Optimization for Simultaneous Airspeed
Calibration and Wind Estimation
- Categories:
111 Views
This paper presents a multi-wide band monopole antenna for automotive application in the Long-Term Evolution (LTE) and 5G systems that covers the frequency range from 617MHz to 5GHz with reasonable rejection on the L1/L2/L5 GNSS bands. The antenna is suitable for placement on a car roof within a shark-fin radome due to its physical dimensions and performance. The antenna is simulated using software and then fabricated and measured on a one-meter ground plane and on a vehicle roof.
- Categories:
433 Views
Measurements collected from pods M1, S1 and S2 and links L1, L2, L3 and L4.
- Categories:
373 Views