Abstract: The Kleinman iteration is a policy iteration method for solving Riccati equations and forms the basis of many reinforcement learning (RL) algorithms. However, its direct application to ...
Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...
Morning Overview on MSN
Is AI making streaming worse? How algorithms can flatten great TV
Streaming platforms promise to learn what viewers love and serve it back to them, but a growing body of peer-reviewed research suggests the same recommendation engines designed to keep audiences ...
A joint research team between the Center for Quantum Information and Quantum Biology (QIQB) at The University of Osaka and Fixstars Corporation has demonstrated one of the world's largest classical ...
Abstract: The sidelobe suppression performance of existing iterative adaptive filtering methods severely deteriorates in the presence of range-Doppler-straddling targets. To resolve this issue, a ...
ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...
ABSTRACT: To overcome the problem of calculation errors in the Born approximation when the forward accumulation effect is strong in VTI media, this article combines the De Wolf approximation method ...
The early stage pathogens of plant diseases have the characteristic of low concentration and difficult detection, which exacerbates the difficulty of tracing the disease, leading to rapid spread and ...
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