Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Olivia Bluder"'
Autor:
Lukas A Holzer, Florian Sevelda, Georg Fraberger, Olivia Bluder, Wolfgang Kickinger, Gerold Holzer
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e92943 (2014)
BACKGROUND: Limb amputation is often an inevitable procedure in the advanced condition of various diseases and poses a dramatic impact on a patient's life. The aim of the present study is to analyze the impact of lower-limb amputations on aesthetic f
Externí odkaz:
https://doaj.org/article/171c7b3acb5c47509f4edb43d0627bf2
Publikováno v:
ICMLA
The semiconductor industry is currently leveraging to exploit machine learning techniques to improve and automate the manufacturing process. An essential step is the wafer test, where each single device is measured electrically, resulting in an image
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319929996
ICIAR
ICIAR
The importance of statistical lifetime models for the reliability assessment of semiconductors is increasing steadily, because resources and time are limited. The devices are tested under accelerated electrical and thermal conditions which causes deg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bad5c5c3b897b30636643fa1b480035
https://doi.org/10.1007/978-3-319-93000-8_55
https://doi.org/10.1007/978-3-319-93000-8_55
Publikováno v:
Risk Analysis. 35:1623-1639
In this article, Bayesian networks are used to model semiconductor lifetime data obtained from a cyclic stress test system. The data of interest are a mixture of log-normal distributions, representing two dominant physical failure mechanisms. Moreove
Publikováno v:
IPTA
In semiconductor industry it is of paramount importance to check whether a manufactured device fulfills all quality specifications and is therefore suitable for being sold to the customer. The occurrence of specific spatial patterns within the so-cal
Publikováno v:
PAMM. 17:775-776
Publikováno v:
Microelectronics Reliability. 51:1464-1468
Reliability prediction of semiconductor devices gains importance, since demand increases and resources, e.g. time, are restricted. Normally, methods focusing on technology aspects are applied. This work presents a more mathematical approach by using
Publikováno v:
Risk analysis : an official publication of the Society for Risk Analysis. 35(9)
In this article, Bayesian networks are used to model semiconductor lifetime data obtained from a cyclic stress test system. The data of interest are a mixture of log-normal distributions, representing two dominant physical failure mechanisms. Moreove
Publikováno v:
Proceedings of the Winter Simulation Conference 2014.
Publikováno v:
Proceedings of the Winter Simulation Conference 2014.