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Using neural networks to predict road roughness

When a vehicle travels on a road, different parts of vehicle vibrate because of road roughness. This paper proposes a method to predict road roughness based on vertical acceleration using neural networks. To this end, first, the suspension system and road roughness are expressed mathematically. Then, the suspension system model will identified using neural networks. The results of this step sho...

Developing a fuzzy expert system to predict technology commercialization success

A majority of efforts in terms of technology commercialization have failed; however, the issue of commercialization and its high importance are agreed upon by policymakers, entrepreneurs, and researchers. This shows the high complexity of the commercialization process. One of the main solutions to overcome the commercialization problems is to predict the success of technology commercialization ...

Using Machine Learning ARIMA to Predict the Price of Cryptocurrencies

The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. This study presented in this paper applied a classic Autoregressive Integrated Moving Average(ARIMA) model ...

Predict psychological well-being of women with breast cancer based on styles

The purpose of this study was to predict the dimensions of psychological well-being of women with breast cancer based on coping styles. The statistical population included all women with breast cancer referring to Omid Hospital in Mashhad in 1394, in which 108 were selected by objective sampling and were selected through the initial interview and were asked for questionnaires "Folkman and Lazar...