Results 201 to 210 of about 3,493,044 (354)
Optimal Stopping of Two-Parameter Processes on Nonstandard Probability Spaces [PDF]
Robert C. Dalang
openalex +1 more source
Monte Carlo modeling of radiation dose from radiation therapy with superficial x‐rays
Abstract Introduction Superficial x‐rays (50–100 kVp) are used for treating non‐melanoma skin cancer and intraoperative radiation therapy (IORT). At these energies, the photoelectric effect significantly increases absorbed dose to bone compared to soft tissue.
Reham Barghash+3 more
wiley +1 more source
Abstract Purpose The aim of this study was to investigate the influence of the simultaneous multislice acceleration (SMS) technique as well as two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within the parametric maps of cervical cancer, which were computed by intravoxel incoherent motion (IVIM) and ...
Shuangquan Ai+6 more
wiley +1 more source
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Using a mixed-effect model with a parameter-space of heterogenous dimension to evaluate whether accountable care organizations are associated with greater uniformity across constituent practices. [PDF]
Chen G+3 more
europepmc +1 more source
Optimal space-time signal processing and parameter estimation with emphasis on its application to direction finding [PDF]
Donald Gene Mueller
openalex
Abstract Purpose The study evaluates rapid linear accelerator (Linac) single isocenter stereotactic radiosurgery (SRS) with Hyperarc for large target numbers. We compared to Gamma Knife (GK), which suffers from long treatment times and investigated causes of differences. Methods Linac SRS and GK treatment plans for patients receiving 18 Gy to the gross
Abram Abdou+4 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Compactifications and measures for rational maps [PDF]
We study extensions of the measure of maximal entropy to suitable compactifications of the parameter space and the moduli space of rational maps acting on the Riemann sphere. For parameter space, we consider a space which resolves the discontinuity of the iterate map.
arxiv
Nonlinear Multi parameter Problems in Banach Space [PDF]
Muhammad Amer, B. Ahemed
openalex +1 more source