This study is aimed at improving a formula that enables easy, correct, and fast estimation of an Early-Stage Cost Buildings (ESCE). formula, enabling ESCE, was developed by the authors based on artificial neural networks gene expression programming. A quantity survey conducted for hundred construction projects, data set created. analysed with many Artificial Neural Networks to determine variabl...

One of the most crucial aspects 3D facial models is reconstruction. However, it unclear if face shape distortion caused by identity or expression when morphable model (3DMM) fitted into largely expressive faces. In order to overcome problem, we introduce neural networks reconstruct stable and precise faces in time. The reconstruction network extracts 3DMM parameters from video sequences represe...

Gene co-expression is of great importance to scientists studying biology and molecular biology. To make sense of expression datasets, we present a tool, CORNEA, to create and visualize large co-expression networks. These networks allows end users to explore gene co-expression relationsships for large datasets with many genes. CORNEA is implemented as a web service at Lotus Base and the tool is ...

MOTIVATION Interpretation of high-throughput gene expression profiling requires a knowledge of the design principles underlying the networks that sustain cellular machinery. Recently a novel approach based on the study of network topologies has been proposed. This methodology has proven to be useful for the analysis of a variety of biological systems, including metabolic networks, networks of p...

The use of blasting cost (BC) prediction to achieve optimal fragmentation is necessary in order to control the adverse consequences of blasting such as fly rock, ground vibration, and air blast in open-pit mines. In this research work, BC is predicted through collecting 146 blasting data from six limestone mines in Iran using the artificial neural networks (ANNs), gene expression programming (G...