Nowadays hybrid hardware architecture (HHA) becomes increasingly popular in embedded systems (ES). In this paper HHA is presented for low bit depth motion estimation (ME) algorithm. Intellectual ...
A new formulation is proposed for the problem of parameter estimation of dynamic systems with both process and measurement noise. The formulation gives estimates that are maximum likelihood ...
A threshold autoregressive (TAR) model is an important class of nonlinear time series models that possess many desirable features such as asymmetric limit cycles and amplitude-dependent frequencies.
In the process of loan pricing, stress testing, capital allocation, modeling of probability of default (PD) term structure and International Financial Reporting Standard 9 expected credit loss ...
The OCV-SOC relationship for most battery chemistries often provides a good estimate for SOC. However, for the lithium-ion iron phosphate (LiFePO4) variation of the lithium-ion cell chemistry, the OCV ...
Two algorithms available on a noncontact specular microscope were capable of accurately assessing corneal endothelial cell density after cataract surgery, a German study found. Greater variability was ...
Difference in Immunogenic Responses to COVID-19 Vaccines in Patients With Cancer Receiving Chemotherapy Versus Nonchemotherapy Treatment We developed two algorithms to identify patients with stomach, ...
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