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Nazeeh Ghatasheh, Hossam Faris, Ismail AlTaharwa, Yousra Harb and Ayman Harb
This study attempts to mitigate the effects of highly imbalanced data in realizing an enhanced cost-sensitive prediction model. The model intends to enable telemarketing decision makers in the banking industry to have more insights on their marketing eff...
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Alessandro Massaro, Sergio Selicato and Angelo Galiano
This paper is focused on the design and development of a smart and compact electronic control unit (ECU) for the monitoring of a bus fleet. The ECU system is able to extract all vehicle data by the on-board diagnostics-(ODB)-II and SAE J1939 standards. T...
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Der-Chang Lo, Chih-Chiang Wei and En-Ping Tsai
This paper presents artificial neural network (ANN)-based models for forecasting precipitation, in which the training parameters are adjusted using a parameter automatic calibration (PAC) approach. A classical ANN-based model, the multilayer perceptron (...
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A. L. Labajo,J. L. Labajo
A forecasting model for the mean monthly maximum temperatures (TMaxMean) using an artificial neuronal network (ANN) of the multilayer perceptron type (Multilayer Perceptron, MLP) has been developed. This model forecast the TMaxMean variable one month ahe...
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