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Prediction of Accident Severity Using Artificial Neural Network: A Comparison of Analytical Capabilities between Python and R
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作者 Imran Chowdhury Dipto Md Ashiqur Rahman +1 位作者 Tanzila Islam H M Mostafizur Rahman 《Journal of Data Analysis and Information Processing》 2020年第3期134-157,共24页
Large amount of data has been generated by Organizations. Different Analytical Tools are being used to handle such kind of data by Data Scientists. There are many tools available for Data processing, Visualisations, P... Large amount of data has been generated by Organizations. Different Analytical Tools are being used to handle such kind of data by Data Scientists. There are many tools available for Data processing, Visualisations, Predictive Analytics and so on. It is important to select a suitable Analytic Tool or Programming Language to carry out the tasks. In this research, two of the most commonly used Programming Languages have been compared and contrasted which are Python and R. To carry out the experiment two data sets have been collected from Kaggle and combined into a single Dataset. This study visualizes the data to generate some useful insights and prepare data for training on Artificial Neural Network by using Python and R language. The scope of this paper is to compare the analytical capabilities of Python and R. An Artificial Neural Network with Multilayer Perceptron has been implemented to predict the severity of accidents. Furthermore, the results have been used to compare and tried to point out which programming language is better for data visualization, data processing, Predictive Analytics, etc. 展开更多
关键词 Artificial Neural Network Accident Severity Machine Learning PYTHON R
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Photonic Crystal Fiber Based Sensor for Detecting Binary Liquid Mixture
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作者 Md. Faizul Huq Arif Md. Jaminul Haque Biddut +5 位作者 Md. Shaiful Islam Babu H M Mostafizur Rahman Md. Mahbubur Rahman Busrat Jahan Moshrefa Sultana Chaity Shah Mostafa Khaled 《Optics and Photonics Journal》 2017年第11期221-234,共14页
Detection of liquid mixture of different volume ratio is very important in industrial purposes. The paper reports a sensing mechanism of binary liquid mixture for different volume fraction, based on the measurement of... Detection of liquid mixture of different volume ratio is very important in industrial purposes. The paper reports a sensing mechanism of binary liquid mixture for different volume fraction, based on the measurement of refractive index of the mixture. Here, a highly sensitive liquid filled core Photonic Crystal Fiber structure has been proposed to detect liquid mixture solution. Numerical investigation of the proposed structure is carried out by employing full vectorial Finite Element Method (FEM). 展开更多
关键词 BINARY Liquid MIXTURE PHOTONIC Crystal Fiber Refractive Index Sensitivity CONFINEMENT LOSS
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