Search alternatives:
location algorithm » selection algorithm (Expand Search), encryption algorithm (Expand Search), correction algorithm (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
source location » resource allocation (Expand Search), source localization (Expand Search), source pollution (Expand Search)
primary data » primary care (Expand Search)
data source » data sources (Expand Search)
binary wave » binary image (Expand Search)
wave model » naive model (Expand Search), game model (Expand Search), base model (Expand Search)
location algorithm » selection algorithm (Expand Search), encryption algorithm (Expand Search), correction algorithm (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
source location » resource allocation (Expand Search), source localization (Expand Search), source pollution (Expand Search)
primary data » primary care (Expand Search)
data source » data sources (Expand Search)
binary wave » binary image (Expand Search)
wave model » naive model (Expand Search), game model (Expand Search), base model (Expand Search)
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S1 Data -
Published 2024“…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …”
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Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf
Published 2024“…A support vector machine (SVM) is attractive because binary classification can be represented as an optimization problem, in particular as a Quadratic Unconstrained Binary Optimization (QUBO) model, which, in turn, maps naturally to an Ising model, thereby making annealing—classical, quantum, and hybrid—an attractive approach to explore. …”
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