Abstract: This letter proposes a hierarchical multistate optimization (HMO) method for the microstrip reconfigurable bandpass filter (RBPF). HMO algorithm nests the inner global optimization algorithm ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.
Abstract: As electronic systems increasingly take on safety-critical tasks, establishing strong and dependable communication becomes crucial for their correct operation. Any malfunction, potentially ...
Department of Intelligent Energy and Industry, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea Department of Intelligent Energy and Industry, Chung-Ang University, 84 ...
ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
At last week’s Leti Innovation Days (LID) 2025 event in Grenoble, power consumption was on everyone’s mind. Lèquepeys also pointed to upcoming applications of Bayesian algorithms and neuromorphic ...
ABSTRACT: The rapid prediction of aerodynamic performance is critical in the conceptual and preliminary design of hypersonic vehicles. This study focused on axisymmetric body configurations commonly ...
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