Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
This approach combined: (1) supervised machine learning for text classification, (2) comparative topic modeling with both theory-driven and data-driven Latent Dirichlet Allocation (LDA) to identify ...
Abstract: Accurate segmentation of pulmonary infection regions is critical for diagnosing respiratory diseases such as COVID-19 and pneumonia. Although recent deep learning approaches have achieved ...
Abstract: Molecular communication (MC) represents a novel approach to communication that employs nanoengineering and bioengineering technology to establish transient communication links in challenging ...
On March 27, the Islamic Revolution Guards Corps announced the launch of the 83rd wave of Operation True Promise 4 - targeting, according to an IRGC public relations statement carried by Press TV and ...
A US Navy Landing Craft, Air Cushion (LCAC) “leaves the well deck of amphibious transport dock USS Portland (LPD 27), transporting Marines and equipment with the 11th Marine Expeditionary Unit (MEU)” ...
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