IncepX-Ensemble: Performance Enhancement Based on Data Augmentation and Hybrid Learning for Recycling Transparent PET Bottles

Sorting Plastic Bottles for Recycling

Speech Enhancement using Adaptive Data-Based Dictionary Learning

In this paper, a speech enhancement method based on sparse representation of data frames has been presented. Speech enhancement is one of the most applicable areas in different signal processing fields. The objective of a speech enhancement system is improvement of either intelligibility or quality of the speech signals. This process is carried out using the speech signal processing techniques ...

A Hybrid model based on neural network and Data Envelopment Analysis model for Evaluation of unit Performance

Efficiency and evaluation is one of the main and most important demands of organizations, companies and institutions. As these organizations deal with a large amount of data, therefore, it is necessary to evaluate them on the basis of scientific methods to improve their efficiency. Data envelopment analysis is a suitable method for measuring the efficiency and performance of organizations. This...

Development of Chemical Recycling Process for Post- Consumer PET Bottles by Methanolysis in Supercritical Methanol

Post-consumer PET (polyethylene terephthalate) bottles have been recycled into fiber and sheet products ever since the Containers and Packing Recycling Law came into effect in 1997. There has been a growing need, however, for a chemical recycling process. In this process, post-consumer PET bottles are recycled into monomers that can be used as feed stocks for the recycled production of PET bott...

Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD

Classification plays a critical role in false positive reduction (FPR) in lung nodule computer aided detection (CAD). The difficulty of FPR lies in the variation of the appearances of the nodules, and the imbalance distribution between the nodule and non-nodule class. Moreover, the presence of inherent complex structures in data distribution, such as within-class imbalance and high-dimensionali...