Abstract: In this paper, we present a memory-efficient ECG based heartbeat classification for wearable devices enabled by multi-feature fusion and compressed bidirectional long short term memory ...
Short-term air conditioning load forecasting in industrial buildings plays a key role in energy management and carbon neutrality efforts. Yet internal disturbances, latent heat variations, and ...
ABSTRACT: In today’s data-driven business environment, small and medium-sized enterprises (SMEs) struggle to implement effective knowledge management (KM) due to limited financial, technical, and ...
In this paper, we propose a novel deep learning based technique for automatically identifying inappropriate query suggestions. We propose a novel deep learning architecture called “Convolutional ...
When a radiologist reviewed Deirdre Hall’s mammogram images last summer, everything seemed fine. There were no shadows or lumps or irregular patches that could signal cancer. Subscribe to read this ...
The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
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