One of the biggest problems maritime industry is currently experiencing corrosion, resulting in short and long-term damages. Early prediction proper corrosion monitoring can reduce economic losses. Traditional approaches used detection are time-consuming challenging to execute inaccessible areas. Due these reasons, artificial intelligence-based algorithms have become most popular tools for rese...

The life of a concrete bridge exposed to deicing salt or seawater has often been limited by corrosion of the steel reinforcement. The service life of a concrete structure, degraded by corrosion, is considered to be the sum of the initiation and propagation periods. The initiation phase is the time required for sufficient accumulation of aggressive species at the rebar surface to initiate corros...

soil moisture retention curve (smrc) is an important soil property which expresses reaction between matric potential and moisture of soil. direct measurement of soil matric potential and moisture is labour- and time-consuming. in order to prevail this problem, indirect methods are used for smrc prediction. pedotransfer functions (ptfs) are one of these indirect methods. this study was carried o...

introduction: to date, many prognostic models have been proposed to predict the outcome of patients with traumatic brain injuries. external validation of these models in different populations is of great importance for their generalization. the present study was designed, aiming to determine the value of crash prognostic model in prediction of 14-day mortality (14-dm) and 6-month unfavorable ou...

In this paper we present a method for analyzing optical data with Kohonen's selforganizing feature map (SOM). Two applications are considered, the determination of presence and concentration of organic gases and solvants and the prediction of corrosion resistance of car body steels. Both applications use a similar method based on optical measurement. The goal is to extract correlations of the s...

A quantitative structure-activity relationship (QSAR) study was conducted for the prediction of inhibitory activity of 1-phenyl[2H]-tetrahydro-triazine-3-one analogues as inhibitors of 5-Lipoxygenase. The inhibitory activities of the 1-phenyl[2H]-tetrahydro-triazine-3-one analogues modeled as a function of molecular structures using chemometrics methods such as multiple linear regression (MLR) ...

Introduction: Rectal toxicity is a dose limiting issue in prostate cancer radiotherapy. Prediction of these effects may be used to tailor the therapy. The purpose of this work was to develop predictive radiomic models based on clinical, dosimetric and radiomic features extracted from rectal wall magnetic resonance image (MRI).   Materials and Methods: This st...

prediction of precipitation is very important. regarding to the non- linear relationships and uncertainty of models, there is no superior and persuasive model among various proposed models to simulate precise precipitation and its amount. wavelet is one of the novel and very effective methods in time series and signals analyzing, that has been considered in the field of hydrology in recent year...

Historically, a variety of NDI technologies have been successfully utilized for the detection of corrosion damage and cracks in a variety of products. Each technology leverages a sensing theory over a particular problem domain. Fusion of multiple NDI technologies has been proposed as a means to attack new domains or improve the probability of detection (POD) in existing domains. Research and ap...