An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.3390/s150818613

https://doi.org/10.3390/s150818613

Scalable and Cost-Effective Assignment of Mobile Crowdsensing Tasks Based on Profiling Trends and Prediction: The ParticipAct Living Lab Experience

Cited by: 28
Author(s): Paolo Bellavista, Antonio Corradi, Luca Foschini, Raffaele Ianniello
Published: almost 10 years ago

Software Mentions 4

cran: dbscan
Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms
Papers that mentioned: 49
Very Likely Science (100)
cran: MCS
Model Confidence Set Procedure
Papers that mentioned: 323
Very Likely Science (75)
pypi: dbscan
Theoretically efficient and practical parallel DBSCAN
Papers that mentioned: 49
Very Likely Science (100)
pypi: Matador
Change management for Agresso systems
Papers that mentioned: 39
Very Likely Science (65)