feature extraction, and classification of aggregated electrical loads, particularly with the architecture defined as deep neural network model for detection, feature extraction, and multilabel ...

Unlike existing models that rely on expensive or infrequently collected data, BloomSense uses a cost-effective sensor ...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis ... unFEAR could serve as a first step towards developing cluster-specific crisis prediction models ...

We aim to develop an intelligent waste classification system ... Inception Model, which is a type of deep learning model used for image recognition. Image Processing: The model performs image ...