Results 11 to 20 of about 1,217,661 (351)
Mathematical Optimization of Treatment Schedules [PDF]
International Journal of Radiation Oncology*Biology*Physics, 2016 In the past decades mathematical optimization has found its way into radiation therapy and has made profound practice changing impact. Today, virtually all advanced treatment delivery methods, such as IMRT, VMAT, tomotherapy, LDR/HDR brachytherapy, proton therapy, are based on some form of optimization approach that changes the treatment variables ...
Bram L. Gorissen +2 more
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Journal of Environmental Engineering and Landscape Management, 2022 This paper describes how the multilayer perceptron neural network (MLPNN) trained by the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-newton back-propagation approach was used to estimate heavy metal concentrations: Aluminum (Al), Lead (Pb), Copper (Cu)
Rachid El Chaal +1 more
doaj +1 more source
Supervised classification and mathematical optimization [PDF]
Computers & Operations Research, 2013 Data Mining techniques often ask for the resolution of optimization problems. Supervised Classification, and, in particular, Support Vector Machines, can be seen as a paradigmatic instance. In this paper, some links between Mathematical Optimization methods and Supervised Classification are emphasized.
Carrizosa Priego, Emilio José +1 more
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Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Entry into the field of clinical medical physics is most commonly accomplished through the completion of a Commission on Accreditation of Medical Physics Educational Programs (CAMPEP)‐accredited graduate and residency program. To allow a mechanism to bring valuable expertise from other disciplines into clinical practice in medical physics, an “
Joann I. Prisciandaro +6 more
wiley +1 more source
Parametric Estimation of Diffusion Processes: A Review and Comparative Study
Mathematics, 2021 This paper provides an in-depth review about parametric estimation methods for stationary stochastic differential equations (SDEs) driven by Wiener noise with discrete time observations.
Alejandra López-Pérez +2 more
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Dynamic Shortest Paths Methods for the Time-Dependent TSP
Algorithms, 2021 The time-dependent traveling salesman problem (TDTSP) asks for a shortest Hamiltonian tour in a directed graph where (asymmetric) arc-costs depend on the time the arc is entered.
Christoph Hansknecht +2 more
doaj +1 more source
On the stabilization of a coupled fractional ordinary and partial differential equations† [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2020 We investigate the stabilization problem of a cascade of a fractional ordinary differential equation (FODE) and a fractional diffusion (FD) equation, where the interconnections are of Neumann type.
S. Amiri, M. Keyanpour
doaj +1 more source
Multiple sclerosis clinical decision support system based on projection to reference datasets
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022 Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch +13 more
wiley +1 more source
Optimized and Personalized Phlebotomy Schedules for Patients Suffering From Polycythemia Vera
Frontiers in Physiology, 2020 Polycythemia vera (PV) is a slow-growing type of blood cancer, where the production of red blood cells (RBCs) increase considerably. The principal treatment for targeting the symptoms of PV is bloodletting (phlebotomy) at regular intervals based on data ...
Patrick Lilienthal +4 more
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Discrete Dynamics in Nature and Society, 2020 In this paper, we consider a hybrid network model of delayed predator-prey Gompertz systems with impulsive diffusion between two patches, in which the patches represent nodes of the network such that the prey population interacts locally in each patch ...
Li Xiang +4 more
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