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Junhao Wu and Zhaocai Wang
Clean water is an indispensable essential resource on which humans and other living beings depend. Therefore, the establishment of a water quality prediction model to predict future water quality conditions has a significant social and economic value. In...
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Alan Kanamatovich Karaev, Oksana S. Gorlova, Marina L. Sedova, Vadim V. Ponkratov, Nataliya S. Shmigol and Svetlana E. Demidova
Improving the accuracy of cash flow forecasting in the TSA is the key to fulfilling government payment obligations, minimizing the cost of maintaining the cash reserve, providing the absence of outstanding debt accumulation, and ensuring investment in va...
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Jittiphong Klomjit and Atthapol Ngaopitakkul
This research proposes a comparison study on different artificial intelligence (AI) methods for classifying faults in hybrid transmission line systems. The 115-kV hybrid transmission line in the Provincial Electricity Authority (PEA-Thailand) system, whi...
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Mohammad Zounemat-Kermani, Youngmin Seo, Sungwon Kim, Mohammad Ali Ghorbani, Saeed Samadianfard, Shabnam Naghshara, Nam Won Kim and Vijay P. Singh
This study evaluates standalone and hybrid soft computing models for predicting dissolved oxygen (DO) concentration by utilizing different water quality parameters. In the first stage, two standalone soft computing models, including multilayer perceptron...
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Mohammad Rafi Lone,Najeed- ud-Din
Pág. 24 - 29
For real-time applications, efficient VLSI implementation of DWT is desired. In this paper, DWT architecture based on retiming for pipelining and unfolding is presented. The architecture is based on lifting one-dimensional Cohen-Daubechies-Feauveau (CDF)...
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Woo-Hyuk Jung and Sang-Goog Lee
This study proposes electrocardiogram (ECG) identification based on non-fiducial feature extraction using window removal method, nearest neighbor (NN), support vector machine (SVM), and linear discriminant analysis (LDA). In the pre-processing stage, Dau...
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Calderbank, A. R. Daubechies, I.
Pág. 1721 - 1724
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Cohen, A. Daubechies, I. Guleryuz, O. G. Orchard, M. T.
Pág. 1895 - 1921
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Balan, R; Daubechies, I; Vaishampayan, V
Pág. 2491 - 2536
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Donoho, D L; Vetterli, M; DeVore, R A; Daubechies, I
Pág. 2435 - 2476
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