The main contribution of the present work is to investigate the capability of exponential-type constitutive equationto model the warm deformation flow curves of a eutectoid steel in the temperature range of 620-770 °C andat the strain rates in the range of 0.01-10 s-1 conducted on a Gleeble-1500 thermomechanical simulator. Warmdeformation in this temperature range f...

Predicted electricity consumption is needed to perform energy management. Electricity prediction also very important in the development of intelligent power grids and advanced electrification network information. we implement a Support Vector Machine (SVM) predict electrical loads results compared measurable loads. Laboratory have their own characteristics when residential, commercial, or indus...

BACKGROUND The purpose of this study was to evaluate the American Society of Cataract and Refractive Surgery (ASCRS) intraocular lens (IOL) calculator for eyes with prior radial keratotomy and assess the accuracy of its methods in predicting IOL power in patients with previous radial keratotomy. METHODS This retrospective study included data from 15 eyes with previous radial keratotomy and su...

PURPOSE To assess the influence of the anatomical placement of a tri-axial accelerometer on the prediction of physical activity energy expenditure (PAEE) in traumatic lower-limb amputees during walking and to develop valid population-specific prediction algorithms. METHODS Thirty participants, consisting of unilateral (n = 10), and bilateral (n = 10) amputees, and non-injured controls (n = 10...

background: data mining (dm) is an approach used in extracting valuable information from environmental processes. this research depicts a dm approach used in extracting some information from influent and effluent wastewater characteristic data of a waste stabilization pond (wsp) in birjand, a city in eastern iran. methods: multiple regression (mr) and neural network (nn) models were examined us...

objective: cone beam computed tomography (cbct) is applied for the imaging of the maxillofacial and dental structures, particularly for surgical treatments and dental implants. the aim of this study was to assess the effect of slice thickness on the accuracy of cbct linear measurements. methods: in this diagnostic accuracy study, forty-two titanium pins with the same dimensions were inserted in...

     Drug design is generally achieved through trial and error methods, which is a time and resource consuming process and novel methods are needed to improve it. Mathematical modelling is one of the possible solutions to speed up this process. In this study, we have presented Box-Jenkins model, to predict the vasorelaxant activity (pEC50) of a set of benzopyrane compounds. We used t...

The measurement and prediction of dye concentration is important in the design, planning and management of wastewater treatment. Soft computing techniques can be used as a support tool for analyzing data and making prediction. In this study, Central Composite Design (CCD) and adaptive neuro-fuzzy inference system (ANFIS) are employed to identify and predict the output intensity ratio of light t...

The research aim of this paper is to investigate the effectiveness of a new Kriging model which uses Taylor expansion to predict wireless network connectivity. Wireless network connectivity is measured by the strength of emitted signal power from the tower to the point in question. The prediction results are compared with those from the literature where an Ordinary Kriging model and a neural ne...

Several ANN models were developed to prediction of monthly precipitation data in Mashhad synoptic station. From the total 636 monthly precipitation data (from 1958 to 2008), 580 data has been used for training networks and the rest selected randomly has been used for validation of the models. To extract the precipitation dynamic of this station by ANN, a new approach of three-layer feed-forward...