Augmenting sensor performance with machine learning towards smart wearable sensing electronic systems
Wearable sensing electronic systems (WSES) are becoming a fundamental platform to
construct smart and intelligent networks for broad applications. Various physiological data …
construct smart and intelligent networks for broad applications. Various physiological data …
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space
Objective. This review paper provides an integrated perspective of Explainable Artificial
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …
KD-KLNMF: Identification of lncRNAs subcellular localization with multiple features and nonnegative matrix factorization
S Zhang, H Qiao - Analytical biochemistry, 2020 - Elsevier
Long non-coding RNAs (lncRNAs) refer to functional RNA molecules with a length more
than 200 nucleotides and have minimal or no function to encode proteins. In recent years …
than 200 nucleotides and have minimal or no function to encode proteins. In recent years …
Recognition of psychological emotion by EEG features
C Huang - Network Modeling Analysis in Health Informatics and …, 2021 - Springer
With the rapid development of emotion recognition technology, how to realize the
naturalization and intellectualization of human–computer interaction, so that the human …
naturalization and intellectualization of human–computer interaction, so that the human …
[HTML][HTML] Disulfidptosis-related gene SLC7A11 predicts prognosis and indicates tumor immune infiltration in lung adenocarcinoma
J Zhu, H Ge, Y Chen, S Zhang, J Wu… - Translational Cancer …, 2024 - pmc.ncbi.nlm.nih.gov
Background Lung adenocarcinoma (LUAD) is closely associated with factors such as
smoking and metabolic disorders. A unique form of cell death known as disulfidptosis, which …
smoking and metabolic disorders. A unique form of cell death known as disulfidptosis, which …
Joint Inversion and Unsupervised Learning Applied to NMR Data Processing that Eliminates the Need for Regularization
An accurate data processing algorithm is at the heart of successful Nuclear Magnetic
Resonance (NMR) log interpretation. The first step in the traditional inversion algorithm is …
Resonance (NMR) log interpretation. The first step in the traditional inversion algorithm is …