Search
Now showing items 1-10 of 15
Persistent homology for prediction of protein folding
Year: 2019
Abstract:
Topological data analysis in an approach to use topological techniques for analysis of datasets. Persistent homology is one of the main tools of topological data analysis used for reducing the dimension and
complexity ...
Persistent homology for protein folding analysis
Year: 2019
Abstract:
Persistent homology is a concept in topological data analysis used to reduce the dimensionality and
complexity of the data sets, and also to determine topological features and delete noises. In this talk,
unfolding ...
A transformation approach to modelling multi modal diffusions
Publisher: Elsevier Science
Year: 2014
Will this car change the lane? — Turn signal recognition in the frequency domain
Publisher: IEEE
Year: 2014
Service configuration knowledge representation, acquisition and reasoning
Publisher: IEEE
Year: 2014
Overhead-aware temporal partitioning on multicore processors
Publisher: IEEE
Year: 2014
Cluster based V2V communications for enhanced QoS of SVC video streaming over vehicular networks
Publisher: IEEE
Year: 2014
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition
Publisher: IEEE
Year: 2014
A User Interface Stereotype to Build Web Portals
Publisher: IEEE
Year: 2014
Twofold classification of motor imagery using common spatial pattern
Publisher: IEEE
Year: 2014