MotivationRecently, I have had more opportunities to handle time-series data, such as equipment logs. Because this type of ...

Reforming the data architecture in semiconductor processes is yielding certain results through the implementation of ...

Objectives The additional impact of coexisting Sjögren’s syndrome (SS) on cardiac involvement in patients with systemic lupus ...

Preparing complex, high-dimensional functions represents a significant challenge for quantum computers, and researchers are actively seeking methods to overcome limitations in scalability and accuracy ...

We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that dynamically narrows the ...

ABSTRACT: The carbon emissions trading markets are strongly linked to the green bond and green stock markets. To gain a deeper understanding of the complex relationships among these three markets, we ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Abstract: Existing performance analysis of wireless systems based on reconfigurable intelligent surfaces (RIS) over fading channels has primarily focused on providing statistical insights into the sum ...

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