CN-waterfall: a deep convolutional neural network for multimodal physiological affect detection
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06516-3
Abstract: Affective computing solutions, in the literature, mainly rely on machine learning methods designed to accurately detect human affective states. Nevertheless, many of the proposed methods are based on handcrafted features, requiring sufficient expert knowledge in… read more here.
Keywords: neural network; affect detection; deep convolutional; convolutional neural ... See more keywords
Affect Detection From Wearables in the “Real” Wild: Fact, Fantasy, or Somewhere In between?
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2022.3221854
Abstract: Affect detection from wearables in the “real” wild—where people go about their daily routines in heterogeneous contexts—is a different problem than affect detection in the lab or in the “quasi” wild (e.g., curated or restricted… read more here.
Keywords: detection wearables; wearables real; real wild; detection ... See more keywords
Identification of Hotspot Mutations in the N Gene of SARS-CoV-2 in Russian Clinical Samples That May Affect the Detection by Reverse Transcription-PCR
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12010147
Abstract: Sensitive and reliable diagnostic test systems based on real-time PCR are of great importance in the fight against the ongoing SARS-CoV-2 pandemic. The genetic variability of the SARS-CoV-2 virus leads to the accumulation of mutations,… read more here.
Keywords: pcr; mutations gene; gene; sars cov ... See more keywords