Now showing items 1-6 of 6
Illegal Logging Detection Based on Acoustic Surveillance of Forest
In this article, we present a framework for automatic detection of logging activity in forests using audio recordings. The framework was evaluated in terms of logging detection classification performance and various widely ...
Iterative Robust Semi-Supervised Missing Data Imputation
In many real-world applications scientists are often confronted with the problem of incomplete datasets due to several reasons. The direct analysis of datasets with missing values in attributes inevitably results in ...
Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors
A data-driven methodology to improve the energy disaggregation accuracy during Non-Intrusive Load Monitoring is proposed. In detail, the method uses a two-stage classification scheme, with the first stage consisting of ...
Evaluation of Features in Detection of Dislike Responses to Audio–Visual Stimuli from EEG Signals
There is a strong correlation between the like/dislike responses to audio–visual stimuli and the emotional arousal and valence reactions of a person. In the present work, our attention is focused on the automated detection ...
Robust energy disaggregation using appliance-specific temporal contextual information
An extension of the baseline non-intrusive load monitoring approach for energy disaggregation using temporal contextual information is presented in this paper. In detail, the proposed approach uses a two-stage disaggregation ...
Energy Disaggregation Using Elastic Matching Algorithms
In this article an energy disaggregation architecture using elastic matching algorithms is presented. The architecture uses a database of reference energy consumption signatures and compares them with incoming energy ...