Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...
Disseminated intravascular coagulation (DIC) is a critical condition encountered in the intensive care unit (ICU), characterized by multiple etiologies and variable outcomes. Distinguishing between ...
Abstract: Wireless Sensor Networks (WSNs) deployed in wilderness for natural disaster prevention face challenges due to the limited energy of sensor nodes, which restricts network performance and ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
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