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Unsupervised analysis applied to the detection cardiac arrhythmias
(Universidad UTE, 2017)
Theoretical models for the antitrypanosomal activity of thiosemicarbazone derivatives
(Wiley-BlackwellHoboken, 2013-08-02)
Thiosemicarbazones are cruzain inhibitors which have been identified as potential antitrypanosomal agents. In this work, several molecular properties were calculated at the density functional theory (DFT)/B3LYP/6-311G* ...
Human activity recognition using smartphone's sensors and machine learning
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2012-12-01)
In this thesis human activity recognition is performed from data gathered through the sensors of smartphones. Human activity recognition is an important task for ambient intelligence systems. Being able to recognize the ...
Human activity recognition data analysis: history, evolutions, and new trends
(Multidisciplinary Digital Publishing Institute (MDPI)Switzerland, 2022)
A chemometric study on the analgesic activity of cannabinoid compounds using SDA, KNN and SIMCA methods
(SPRINGER/PLENUM PUBLISHERS, 2009)
The supervised pattern recognition methods K-Nearest Neighbors (KNN), stepwise discriminant analysis (SDA), and soft independent modelling of class analogy (SIMCA) were employed in this work with the aim to investigate the ...
Unsupervised Human Activity Recognition Using the Clustering Approach: A Review
(Corporación Universidad de la Costa, 2020)
Quantitative methods of standardization in cluster analysis
(Bhabha Atomic Research Centre, 2020)
Sensor-based datasets for human activity recognition - a systematic review of literature
(Institute of Electrical and Electronics Engineers Inc., 2018)
Unsupervised learning models-based CRM anomaly detection using GPU
Deep learning models have improved several business intelligence tools like Customer relationship Management(CRM) systems. However, those models have increased the need for advanced computational capacity and infrastructure. ...