Bu çalışmanın amacı, Makine Öğrenmesi algoritmalarıyla Covid-19 tanılı hastaların mortalite riskinin hesaplanmasıdır. çalışmada, web üzerinde açık erişimli olarak yayınlanan Atlanta, Georgia’da tanısı alarak sağlık tesisine yatan demografik ve klinik verileri kullanılmıştır. veriler üzerinden Karar Ağacı, Rastsal Orman Adaptive Boost adlandırılan algoritmaları kullanılarak riski hesaplanmıştır....

As photovoltaic energy increasingly penetrates in power systems, transmission system operators have started to request its participation providing ancillary services. One of the demanded services is ramp-rate control (PRRC), which attempts limit ramps produced by intermittent irradiance conditions. In order achieve desired objective, solutions based on storage systems or modifying maximum point...

Abstract The existing LOng RAnge Naviating System stations are mostly used by marine users and situated at offshore, low‐altitude locations. As a result, the impact of height on system's positioning accuracy is usually ignored. However, direct transplantation calculation methods to high‐altitude areas will bring errors in results due lack elevation consideration. In order improve new enhanced L...

Purpose: The dosimetric accuracy of the recently released Acuros XB advanced dose calculation algorithm (Varian Medical Systems, Palo Alto, CA) is investigated for single radiation fields incident on homogeneous and heterogeneous geometries, as well as for two arc (VMAT) cases and compared against the analytical anisotropic algorithm (AAA), the collapsed cone convolution superposition algorithm...

In clinical research, parameters required for sample size calculation are usually unknown. A typical approach is to use estimates from some pilot studies as the true parameters in the calculation. This approach, however, does not take into consideration sampling error. Thus, the resulting sample size could be misleading if the sampling error is substantial. As an alternative, we suggest a Bayes...