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Sixty years of frequency-domain monaural speech enhancement: From traditional to deep learning methods
Frequency-domain monaural speech enhancement has been extensively studied for over
60 years, and a great number of methods have been proposed and applied to many …
60 years, and a great number of methods have been proposed and applied to many …
Modelling approaches for studying the microbiome
Advances in metagenome sequencing of the human microbiome have provided a plethora
of new insights and revealed a close association of this complex ecosystem with a range of …
of new insights and revealed a close association of this complex ecosystem with a range of …
Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision …
Personalized interventions are deemed vital given the intricate characteristics,
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
Background Cardiovascular diseases kill approximately 17 million people globally every
year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) …
year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) …
Drug–target affinity prediction using graph neural network and contact maps
Computer-aided drug design uses high-performance computers to simulate the tasks in drug
design, which is a promising research area. Drug–target affinity (DTA) prediction is the most …
design, which is a promising research area. Drug–target affinity (DTA) prediction is the most …
Spatial transcriptomics prediction from histology jointly through transformer and graph neural networks
The rapid development of spatial transcriptomics allows the measurement of RNA
abundance at a high spatial resolution, making it possible to simultaneously profile gene …
abundance at a high spatial resolution, making it possible to simultaneously profile gene …
From cloud to edge: a first look at public edge platforms
Public edge platforms have drawn increasing attention from both academia and industry. In
this study, we perform a first-of-its-kind measurement study on a leading public edge …
this study, we perform a first-of-its-kind measurement study on a leading public edge …
Combining conflicting evidence based on Pearson correlation coefficient and weighted graph
Dempster–Shafer evidence theory (evidence theory) has been widely used as an efficient
method for dealing with uncertainty. In evidence theory, Dempster's rule is the most well …
method for dealing with uncertainty. In evidence theory, Dempster's rule is the most well …
An open-source and wearable system for measuring 3D human motion in real-time
Objective: Analyzing human motion is essential for diagnosing movement disorders and
guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease …
guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease …
Mechanistic data-driven prediction of as-built mechanical properties in metal additive manufacturing
Metal additive manufacturing provides remarkable flexibility in geometry and component
design, but localized heating/cooling heterogeneity leads to spatial variations of as-built …
design, but localized heating/cooling heterogeneity leads to spatial variations of as-built …