1. Estimating Pier Scour Depth: Comparison of Empirical Formulations with ANNs, GMDH, MARS, and Kriging

M. Zarbazoo Siahkali; A.A. Ghaderi; Abdol H. Bahrpeyma; M. Rashki; N. Safaeian Hamzehkolaei

Volume 9, Issue 1 , Winter 2021, , Pages 109-128

http://dx.doi.org/10.22044/jadm.2020.10085.2147

Abstract
  Scouring, occurring when the water flow erodes the bed materials around the bridge pier structure, is a serious safety assessment problem for which there are many equations and models in the literature to estimate the approximate scour depth. This research is aimed to study how surrogate models estimate ...  Read More

2. Modeling Length of Hydraulic Jump on Sloping Rough Bed using Gene Expression Programming

I Pasandideh; A. Rajabi; F. Yosefvand; S. Shabanlou

Volume 8, Issue 4 , Autumn 2020, , Pages 535-544

http://dx.doi.org/10.22044/jadm.2020.7444.1886

Abstract
  Generally, length of hydraulic jump is one the most important parameters to design stilling basin. In this study, the length of hydraulic jump on sloping rough beds was predicted using Gene Expression Programming (GEP) for the first time. The Monte Carlo simulations were used to examine the ability of ...  Read More

C. Software/Software Engineering
3. Formal approach on modeling and predicting of software system security: Stochastic petri net

H. Motameni

Volume 3, Issue 1 , Winter 2015, , Pages 77-83

http://dx.doi.org/10.5829/idosi.JAIDM.2015.03.01.08

Abstract
  To evaluate and predict component-based software security, a two-dimensional model of software security is proposed by Stochastic Petri Net in this paper. In this approach, the software security is modeled by graphical presentation ability of Petri nets, and the quantitative prediction is provided by ...  Read More