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The mankind has higher interest to find accurate tools for prediction especially at the financial sector. Many forecasting methods have been suggested through the history ranging from linear regression methods to nonlinear time series fitting approaches. Emerging countries market like security market in Sultanate of Oman has more importance in the international scenario according to its wide opportunities...
Efforts to map the distribution of debris flows, to assess the factors controlling their development, and to identify the areas susceptible to their occurrences are often hampered by the paucity of monitoring systems and historical databases in many parts of the world. In this paper, we develop and successfully apply methodologies that rely heavily on readily available remote-sensing datasets over...
Surface Electromyography (sEMG) activity of the biceps muscle was recorded from nine subjects. Data were recorded while subjects performed dynamic contraction until fatigue. The signals were initially segmented into two parts (Non-Fatigue and Transition-to-Fatigue) to enable the evolutionary process. A novel feature was evolved by selecting then using a combination of the eleven sEMG muscle fatigue...
This study presents the application of artificial neural networks for modeling the parameters of Lewis-Kostiakov infiltration under conventional tillage systems on a clay soil. The conventional tillage systems were moldboard, chisel and rotary plows. Water infiltration rate was defined experimentally by double ring infiltrometer. Artificial neural network estimation indicated strong correlations (R...
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