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 ...

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 ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.

A breast scan for detecting cancer takes less than a minute using an experimental system that combines photoacoustic and ultrasound imaging, according to a study in IEEE Transactions on Medical ...