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Short-Term and Long-Term Effects of Sharia Supervision on Banks' Performance [PDF]
Today, in Islamic societies, the importance of a sharia-based evaluation of banking is recognized more than ever. As a result, many Islamic countries have formed sharia supervision committees and compiled the necessary regulations to determine the duties,
Azam Ahmadyan
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Leadership Development within SME’s: Solving the Organizational Conflict [PDF]
Within the theoretical and practical management and entrepreneurial fields a wide range of approaches tried to explain and present the conflict evolution and its impact over the organization’s performances. This article deals with a mechanism designed to
Marian NĂSTASE
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Knowledge, innovation and NTBF short- and long-term performance [PDF]
Q1
Antonia Mercedes García-Cabrera +2 more
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Universal portfolio analysis of Malaysia’s stocks for different durations [PDF]
In this research, four proposed finite order universal portfolios were used to study Malaysia’s stock market comprehensively and the constant rebalanced portfolio (CRP) was used as a benchmark for comparison.
Pang Sook Theng, Liew How Hui
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Spatial and long–short temporal attention correlation filters for visual tracking
Discriminative correlation filter is one of the quick and effective ways for studying visual tracking. However, discriminative correlation filter‐based methods still suffer from many challenging questions caused by environmental interferences, such as ...
Jianwei Zhao +3 more
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Streamflow forecasting is highly crucial in the domain of water resources. For this study, we coupled the Wavelet Transform (WT) and Artificial Neural Network (ANN) to forecast Gilgit streamflow at short-term (T0.33 and T0.66), intermediate-term (T1 ...
Zain Syed +7 more
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Short-term forecasting of electric energy consumption has become a critical issue for companies selling and buying electricity because of the fluctuating and rising trend of its price.
Daniel Fernández-Martínez +1 more
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ObjectiveThe predictive performances of CURB-65 and pneumonia severity index (PSI) were poor in patients with diabetes. This study aimed to develop a tool for predicting the short-term and long-term outcomes of CAP in patients with diabetes.MethodsA ...
Chun-Ming Ma +10 more
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Comparing LSTM and GRU Models to Predict the Condition of a Pulp Paper Press
The accuracy of a predictive system is critical for predictive maintenance and to support the right decisions at the right times. Statistical models, such as ARIMA and SARIMA, are unable to describe the stochastic nature of the data.
Balduíno César Mateus +4 more
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Deep learning-based reduced order models (DL-ROMs) have been recently proposed to overcome common limitations shared by conventional ROMs–built, e.g., through proper orthogonal decomposition (POD)–when applied to nonlinear time-dependent parametrized ...
Stefania Fresca +2 more
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