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Titlebook: Reliability and Risk Analysis in Engineering and Medicine; Chandrasekhar Putcha,Subhrajit Dutta,Sanjay K. Gup Textbook 2021 The Editor(s)

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樓主: INFER
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發(fā)表于 2025-3-23 11:32:02 | 只看該作者
Chandrasekhar Putcha,Subhrajit Dutta,Sanjay K. Guptatoxantrone bound ferrofluids (FF-MTX), while focusing an external magnetic field (1.7 Tesla) onto the tumor for 60 minutes. Complete tumor remissions could be achieved in these animals in a dose related manner (20% and 50% of the systemic dose of mitoxantrone), without any negative side effects, lik
12#
發(fā)表于 2025-3-23 14:26:59 | 只看該作者
needed relations is often cumbersome and would exceed the frame of this presentation..The following problems shortly are discussed: the equation of energy conservation accounting for new adiabatic effects and dissipation due to internal rotation, the thermomagnetic and magnetosolutal instabilities,
13#
發(fā)表于 2025-3-23 18:30:08 | 只看該作者
14#
發(fā)表于 2025-3-23 23:47:51 | 只看該作者
Chandrasekhar Putcha,Subhrajit Dutta,Sanjay K. Gupta
15#
發(fā)表于 2025-3-24 02:23:13 | 只看該作者
16#
發(fā)表于 2025-3-24 07:46:25 | 只看該作者
17#
發(fā)表于 2025-3-24 10:46:51 | 只看該作者
Reliability and Risk Analysis in Engineering and Medicine
18#
發(fā)表于 2025-3-24 15:27:45 | 只看該作者
Probability and Density Functions,n, exponential distribution and Weibull distribution. Each distribution is identified with certain parameters. In order to make use of probability theory for a set of experimental data, data analysis is done to start with. It is described below. Illustrative examples are solved for each of the proba
19#
發(fā)表于 2025-3-24 22:41:05 | 只看該作者
System Reliability,In this case, if k components out of the total n components work, the system is considered successful. To start finding, the system reliability, one has to draw RBD (Reliability Block Diagram) depicting the way the components are connected in the actual physical system. Each of the cases is discusse
20#
發(fā)表于 2025-3-25 01:26:55 | 只看該作者
Regression Analysis,ls. To this end, a much-appreciated low-cost surrogate models or metamodels, which approximates the original model mathematically by reducing the computation cost for a desired accuracy level in an optimization solution is well accepted. During training, the surrogate model requires a minimum number
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