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Katayoon Kiany, Abolfazl Baghbani, Hossam Abuel-Naga, Hasan Baghbani, Mahyar Arabani and Mohammad Mahdi Shalchian
This study examines the potential of the soft computing technique, namely, multiple linear regression (MLR), genetic programming (GP), classification and regression trees (CART) and GA-ENN (genetic algorithm-emotional neuron network), to predict the ulti...
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Abhilash Pati, Manoranjan Parhi, Mohammad Alnabhan, Binod Kumar Pattanayak, Ahmad Khader Habboush and Mohammad K. Al Nawayseh
Recently, it has proven difficult to make an immediate remote diagnosis of any coronary illness, including heart disease, diabetes, etc. The drawbacks of cloud computing infrastructures, such as excessive latency, bandwidth, energy consumption, security,...
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Katherine Coronel-Pangol, Doménica Heras-Tigre, Jonnathan Jiménez Yumbla, Juan Aguirre Quezada and Pedro Mora
Microfinance has become one of the most important financing alternatives for business start-ups, especially for vulnerable groups in poor regions. Microfinance provides access to financial products, especially to people who have been excluded from the tr...
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Paolo Fosci and Giuseppe Psaila
The possibility offered by the current technology to collect and store data sets regarding public places located on the Earth globe is posing new challenges, as far as the integration of these data sets is concerned. Analysts usually need to perform such...
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Yingli LV, Qui-Thao Le, Hoang-Bac Bui, Xuan-Nam Bui, Hoang Nguyen, Trung Nguyen-Thoi, Jie Dou and Xuan Song
In this study, the ilmenite content in beach placer sand was estimated using seven soft computing techniques, namely random forest (RF), artificial neural network (ANN), k-nearest neighbors (kNN), cubist, support vector machine (SVM), stochastic gradient...
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