Electronic banking has been around for some time in the form of automatic teller machines and telephone transactions but with the advent of internet, more publicity has been witnessed. This issue of internet has equally given a new look to their transactions and mode of product delivery in banking services for the benefits of both the customers and the banks. The objective of this paper is to f...

Abstract: Using robot manipulators for high accuracy applications require precise value of the kinematics parameters. Since measurement of kinematics parameters are usually associated with errors and accurate measurement of them is an expensive task, automatic calibration of robot link parameters makes the task of kinematics parameters determination much easier. In this paper a simple and easy ...

the estimation of metallurgical parameters of flotation process from froth visual features is the ultimate goal of a machine vision based control system. in this study, a batch flotation system was operated under different process conditions and metallurgical parameters and froth image data were determined simultaneously. algorithms have been developed for measuring textural and physical froth ...

Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...

Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...

Building effective neural networks requires many design choices. These include the network topology, optimization procedure, regularization, stability methods, and choice of pre-trained parameters. This design is time consuming and requires expert input. Automatic Machine Learning aims automate this process using hyperparameter optimization. However, automatic model building frameworks optimize...