Research in microbiome science has increasingly highlighted the fundamental impact of the gut microbiota on human health, ...
Abstract: Parkinson's disease is a common mental disease in the world, especially in the middle-aged and elderly groups. Today, clinical diagnosis is the main diagnostic method of Parkinson's disease, ...
Researchers from the University of Sydney, working with IBM, have identified and quantified important factors limiting the ...
From facial recognition on smartphones to humanoid robots, computer vision technology, which serves as the eyes of artificial ...
Optimizing hyperparameters of deep learning models for specific tasks requires substantial domain expertise and computational resources, remaining challenging in automated deep learning. Existing ...
Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
Abstract: In this letter, we propose a hyperparameter optimization method for adaptive filtering based on deep unrolling, termed the deep unrolling affine projection (DAP) algorithm. The core idea is ...
In constructing the Support Vector Regression (SVR) model, the Radial Basis Function (RBF) kernel was selected. Due to the significant influence of the penalty factor C and the RBF kernel function ...
Structural topology optimization (TO) methods are computational techniques which optimize the distribution of a given material within a specified design space based on boundary and initial conditions, ...
Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...
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