Quarterly Publication
Original Article
Value engineering and its impact on construction projects using building information modeling

Hadi Faghihmaleki; Saman Rahimireskati; Mohamamd Darbandi

Volume 1, Issue 2 , June 2021, Pages 52-56


  Due to the fact that science is advancing and construction in our society is increasing, the engineering community is also obliged to introduce new approaches to the country and use them in this field. The traditional method (CAD) used to be used in this field and now the engineering community in most ...  Read More

Original Article
The role of environmental sustainability, foreign direct investment and trade openness in economic growth: with emphasis on the causal linkage

Hossein Ali Fakher

Volume 1, Issue 2 , June 2021, Pages 57-70


  Foreign direct investment (FDI) and environmental quality contributes very significantly to all parts of the world, especially developing countries. These two factors have been so important that are known as the engine of economic growth and progression. This paper aimed to examine the association between ...  Read More

Original Article
Improve crop production through wsn: an approach of smart agriculture

Agyan Panda; Seyed Ahmad Edalatpanah; Ramin Godarzi Karim

Volume 1, Issue 2 , June 2021, Pages 71-82


  The goal is to build and create an agricultural monitoring system that uses a wireless sensor network to boost farming production and quality without having to manually monitor it all of the time. In agriculture, temperature, humidity, and carbon dioxide levels are the most critical elements affecting ...  Read More

Original Article
A new neurodynamic model with Adam optimization method for solving generalized eigenvalue problem

Ebrahim Ganjalipour; Khadijeh Nemati; Amir Hosein Refahi Sheikhani; Hashem Saberi Najafi

Volume 1, Issue 2 , June 2021, Pages 83-95


  In this paper we proposed a new neurodynamic model with recurrent learning process for solving ill-condition Generalized eigenvalue problem (GEP) Ax = lambda Bx. our method is based on recurrent neural networks with customized energy function for finding smallest (largest) or all eigenpairs. We evaluate ...  Read More

Original Article
Rough sets theory and its extensions for attribute reduction: a review

Sadegh Eskandari

Volume 1, Issue 2 , June 2021, Pages 96-100


  The rough sets theory is a mathematical tool to express vagueness by means of boundary region of a set. The main advantage of this implementation of vagueness is that it requires no human input or domain knowledge other than the given data set. Several efforts have been made to make close the rough sets ...  Read More

Original Article
Managerial and natural disposability in two-stage network structure: a DEA-based approach

Mahnaz Maghbouli; Azam Pourhabib Yekta

Volume 1, Issue 2 , June 2021, Pages 101-110


  The traditional Data Envelopment Analysis (DEA) model on network-structured performance analysis normally considers desirable intermediate measures. In many real cases, the intermediate measures consist of both desirable and undesirable factors. The motivation of this paper is employing “Natural ...  Read More