Web Effort Estimation is a process of predicting the efforts and cost in terms of money, schedule and staff for any software project system. Many estimation models have been proposed over the last three decades and it is believed that it is a must for the purpose of: Budgeting, risk analysis, project planning and control, and project improvement investment analysis. In this paper, we investigat...

ii ACKNOWLEDGMENTS I thank Almighty god for providing the strength and knowledge to pursue the research work. I would like to express my sincere gratitude to Dr. Susan Mengel, the chairperson of my committee for guiding through the research. In spite of her busy schedule, she was very helpful in solving the problems and presented new insights. It was a pleasure to work alongside with her which ...

The prediction of accurate segmental durations remains a difficult problem when synthesising speech from text. Inaccurate durations are often perceptually prominent and detract from the naturalness of the quality of speech. For a concatenative system, a statistical approach is an excellent way of predicting segmental durations. More specifically a CART (Classification And Regression Tree) metho...

To realize the implementation of agent based B2B e-Commerce, we design the b-Cart based B2B agent framework. B-Cart implies a buyer’s shopping cart which a buyer carries to the seller’s sites. The prototype agent, named AgentB, is designed to provide an effective architecture for employee’s direct desktop purchasing from multiple external seller’s e-marketplaces. In this paper, we propose the t...

significant advantages of intermodal and containerized transport have increased the global interest to this mode of transportation. this growing interest is reflected in the annual volume of container cargo growth. however, the container transport inside iran does not have a proper place. comparing the count of containers entering and leaving ports with the statistics obtained from railway and ...

With the development of urbanization, hourly PM2.5 concentration in air is constantly changing. In order to improve accuracy prediction, a prediction model based on Classification and Regression Tree (CART) Broad Learning System (BLS) was constructed. Firstly, CART algorithm used segment dataset hierarchical way obtain subset with similar characteristics. Secondly, BLS trained by using data eac...

In certain research studies development of a reliable decision rule, which can be used to classify new observations into some predefined categories, plays an important role. The existing traditional statistical methods are inappropriate to use in certain specific situations, or of limited utility, in addressing these types of classification problems. There are a number of reasons for these diff...

The Neural Decision Tree (NDT) is a hybrid supervised machine-learning algorithm that combines the self-limiting property of decision tree (CART) with artificial neural network (ANN). We demonstrate use NDT for regression problem building prediction model plasmasphere electron density solar and geomagnetic measurements as inputs. Our work replicates by Zhelavskaya et al. reported in their 2017 ...