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(1) Hartono Hartono (Universitas Potensi Utama, Indonesia) (2) Erianto Ongko (Akademi Teknologi Industri Immanuel, Indonesia) (3) Dahlan Abdullah (Universitas Malikussaleh, Indonesia)
Pág. 345 - 356
Class Imbalance problems often occur in the classification process, the existence of these problems is characterized by the tendency of a class to have instances that are much larger than other classes. This problem certainly causes a tendency towards lo...
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Antonino A. Feitosa Neto, Anne M. P. Canuto and João C. Xavier-Junior
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Rencheng Liu, Saqib Ali, Syed Fakhar Bilal, Zareen Sakhawat, Azhar Imran, Abdullah Almuhaimeed, Abdulkareem Alzahrani and Guangmin Sun
Nowadays, customer churn has been reflected as one of the main concerns in the processes of the telecom sector, as it affects the revenue directly. Telecom companies are looking to design novel methods to identify the potential customer to churn. Hence, ...
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Maya Hilda Lestari Louk and Bayu Adhi Tama
As a system capable of monitoring and evaluating illegitimate network access, an intrusion detection system (IDS) profoundly impacts information security research. Since machine learning techniques constitute the backbone of IDS, it has been challenging ...
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Shixuan Zhang and Zhaoxia Pu
The feasibility of a hurricane initialization framework based on the Gridpoint Statistical Interpolation (GSI)-based four-dimensional ensemble-variational (GSI-4DEnVar) hybrid data assimilation system for the Hurricane Weather Research and Forecasting mo...
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Fulvio Babich,Francesca Vatta
Pág. 202 - 212
In this paper we propose a model for the generation of error patterns at the output of a turbo decoder. One of the advantages of this model is that it can be used to generate the error sequence with little effort. Thus, it provides a basis for designing ...
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Hossein Moayedi, Dieu Tien Bui and Phuong Thao Thi Ngo
The prediction aptitude of an artificial neural network (ANN) is improved by incorporating two novel metaheuristic techniques, namely, the shuffled frog leaping algorithm (SFLA) and wind-driven optimization (WDO), for the purpose of soil shear strength (...
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Zhan Zhang, Mingjing Tong, Jason A. Sippel, Avichal Mehra, Banglin Zhang, Keqin Wu, Bin Liu, Jili Dong, Zaizhong Ma, Henry Winterbottom, Weiguo Wang, Lin Zhu, Qingfu Liu, Hyun-Sook Kim, Biju Thomas, Dmitry Sheinin, Li Bi and Vijay Tallapragada
The National Oceanic and Atmospheric Administration?s (NOAA) cloud-permitting high-resolution operational Hurricane Weather and Research Forecasting (HWRF) model includes the sophisticated hybrid grid-point statistical interpolation (GSI) and Ensemble Ka...
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Yonggwan Shin, Youngsaeng Lee and Jeong-Soo Park
A model weighting scheme is important in multi-model climate ensembles for projecting future changes. The climate model output typically needs to be bias corrected before it can be used. When a bias-correction (BC) is applied, equal model weights are usu...
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Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
Traders and investors are interested in accurately predicting cryptocurrency prices to increase returns and minimize risk. However, due to their uncertainty, volatility, and dynamism, forecasting crypto prices is a challenging time series analysis task. ...
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