Titlebook: Applications in Reliability and Statistical Computing; Hoang Pham Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

helper-T-cells

A Staff Scheduling Problem of Customers with Reservations in Consideration with Expected Wait Time ization of the expected wait time of the first CN is considered in this research. Taboo search method is adopted for the optimization of the evaluation function to assign each reservation to each staff and to minimize the waiting time of the first CN.

炸坏

https://doi.org/10.1007/3-7985-1539-5cells with the effects of the levels of vitamin D and probiotics supplement. It also can help to predict when the infected cells and virus particles free state can ever be reached as time progresses with and without considering the vitamin D and probiotic supplements.

模范

并排上下

Presbyopia

https://doi.org/10.1007/3-7985-1539-5onal travel restrictions, social distancing, reduced staff, and limited maintenance funding, the need for smarter ways of doing maintenance is obvious. In this regard smart technology has an important role to play. For instance, IoT data generates the capacity for predictive aircraft maintenance, AI

Cerumen

https://doi.org/10.1007/3-7985-1539-5s of preference with experts to weight the main risk factors of interest, the obtained priorities will be used as a part of the body of input data required for a further MCDM application. This application will use the ELimination Et Choix Traduisant la REalité (ELECTRE) I method as a structured way

RECUR

Awning

https://doi.org/10.1007/3-7985-1539-5r, and Pandas. To rank SRGMs employed in the DSS, we used Entropy & Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) ranking methodology. The implemented schema provides highly accurate performance indexes for the SRGMs required for efficient ranking, emphasizing the signif

音乐戏剧

Smart Maintenance and Human Factor Modeling for Aircraft Safety,onal travel restrictions, social distancing, reduced staff, and limited maintenance funding, the need for smarter ways of doing maintenance is obvious. In this regard smart technology has an important role to play. For instance, IoT data generates the capacity for predictive aircraft maintenance, AI

Temporal-Lobe