Training of dendritic neuron model artificial neural networks is generally achieved by using
nonlinear least square methods. The distribution of random error terms is ignored in training …

Bidding is the process in which a contractor submits a tender to the owner of a construction
project to undertake its execution. This enables companies to properly employ required …

The construction of metropolises in smart cities is the trend of developed countries.
However, it may cause damages to the surrounding structures. For this reason, the …

For the production of complex products, this study investigates a flexible production system
with a variable production rate as an alternative method to overcome the stock-out risk …

This paper presents the analysis of contractor selection (CS) models from the perspective of
critical review. A comprehensive analysis of contemporary CS models is conducted in the …

The construction industry is considered as one of the most dangerous industries in terms of
occupational safety and has a high rate of occupational incidents and risks compared to …

Prime contractors play a vital role in the successful delivery of construction projects.
However, the success of the prime contractors depends on the performance of the …

Sustainable development of any country to some extent depends on successful
accomplishment of construction projects, particularly infrastructures. Contractors have a key …

Artificial neural network (ANN) is modeled to predict and classify problems. However, in the
training phase of ANNs discovering faultless values of the weights of a network is extremely …

Purpose The emergence of massive modern technology construction projects is seen to be
a real occurrence in Pakistan's construction industry, which in turn demands a better and …