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.
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).
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.
Complete results of the uni and bidimensional analyses related to the article: Maneuver Optimization for Simultaneous Airspeed
Calibration and Wind Estimation
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.
Measurements collected from pods M1, S1 and S2 and links L1, L2, L3 and L4.
The data sets correlates with online banana purchase business process, where there are 12 activities in the process.
business-related data (can both be referenced or modified by business processes) and context data i.e., temperature (can only be referenced by business processes, for example, data from sensors) can be found in these data sets.
Data validation of the article "A framework for assessing, comparing and predicting the performance of autonomous RFID-based inventory robots for retail"
The Cross-sectional Diabetes Risk survey aims to assess the prevalence of diabetes and its risk factors at the same point in time and also provide a "snapshot" of diseases and risk factors simultaneously for individuals belonging to the western region of the Kingdom of Saudi Arabia (KSA).
A total of 10,003 images of product design submissions of Hardware Product Design Competitionwere collected to form the product design image database, which has 835 samples of awarded class (high aesthetic level), 4,990 samples of qualified class (middle aesthetic level) and 4,178 samples of eliminated class (low aesthetic level). The Product Design Aesthetic Database includes dataset of image features extracted by the optimal method VGG-19.
