Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...

This study provides valuable evidence regarding our expectations about task difficulty and how this might influence proactive attention. The findings suggest that anticipated demands enhance the ...

iq_cmae/ ├── data/ # Data loading and processing │ ├── ne_data_raw_dataset.py # Raw SIGMF dataset loader │ ├── italysig_raw_dataset.py # ITALYSIG dataset loader │ ├── transforms.py # Signal transforms ...

The European Association of Dermato-Oncology (EADO) classification system identified difficult-to-treat tumours in transplant patients with cutaneous squamous cell carcinoma (cSCC) on the basis of ...

Abstract: Automatic blind modulation classification (MC) is deployed, as the intermediate step between signal detection and demodulation, to identify modulation schemes automatically. Modulation ...

Abstract: We present an automatic signal modulation classification model using combinatorial deep learning technique. Our proposed deep learning model increase accuracy for low Signal-to-Noise Ratio ...

The results by Zhu et al provide valuable insights into the representation of border ownership in area V1. They used neuropixel recording to demonstrate the clustering of border ownership, and ...

For neural prosthetic devices, accurate classification of high dimensional electroencephalography (EEG) signals is significantly impaired by the existence of redundant and irrelevant features that ...