نتایج جستجو برای: processing dynamic

تعداد نتایج: 877194  

Convolutional neural network is one of the effective methods for classifying images that performs learning using convolutional, pooling and fully-connected layers. All kinds of noise disrupt the operation of this network. Noise images reduce classification accuracy and increase convolutional neural network training time. Noise is an unwanted signal that destroys the original signal. Noise chang...

B. Mosadeg, A. Vajd, M. Shaban Ghazani,

The aim of the present study is the prediction of critical conditions (including critical strain and flow stress) for the initiation of dynamic recrystallization during thermo-mechanical processing of plain carbon steels. For this propose, torsion tests were conducted at different temperature (1050, 1100 and 1150˚C) and strain rates (0.002, 0.02 and 0.2/s). All flow curves showed a peak st...

A Najafizadeh R Ebrahimi,

Processing map for hot working of Ti-IF steel has been developed in the temperature range of 750 to 1100 °C and strain rate of 0.01 to 100 s-1. This map in the austenite region exhibits a single domain with a peak efficiency of 45% occurring at 1025 °C and strain rate of 0.02 s-1. The domain extends over the temperature range of 1000 to 1100 °C and strain rate range of 0.01 to 1 s-1. The true s...

Journal: :IEEE Journal of Selected Topics in Quantum Electronics 1998

Journal: :فیزیک زمین و فضا 0
فهیمه محمدی کارشناس ارشد اقلیم شناسی- دانشگاه فردوسی مشهد- ایران آذر زرین استادیار اقلیم شناسی- دانشگاه فردوسی مشهد- ایران ایمان باباییان عضو هیئت علمی پژوهشکدۀ اقلیم شناسی مشهد- ایران

due to climate changes, precipitation forecast average in time scale is one of the most important challenges for specialists in the recent years. the purpose of this research is to investigate the capabilities of the dynamic model regcm4 in precipitation forecast in cold period of fars province. in this study, september to february or 6 month is considered as the cold period. several variable s...

Journal: :The Journal of The Institute of Image Information and Television Engineers 2012

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