Rapid publication: accepted papers are immediately published online. Abstract Road traffic injuries are a serious concern in emerging economies. Road traffic injuries are a serious concern in emerging economies. Abstract The occurrence of the Gibbs phenomenon near irregular initial data points is a widely known fact in curve generation by interpolating subdivision schemes. In this article, we propose a family of 5-point nonlinear ternary interpolating subdivision schemes.
The occurrence of the Gibbs phenomenon near irregular initial data points is a widely known fact in curve generation by interpolating subdivision schemes. Since data transfer for sensor networks is wireless, as a result, attackers can easily eavesdrop deployed sensor nodes and the data sent between them or modify the content of eavesdropped data and inject false data into the sensor network. Abstract One of the most important biochemical reactions is catalyzed by enzymes. A numerical method to solve nonlinear equations of enzyme kinetics, known as the Michaelis and Menten equations, together with fuzzy initial values is introduced. One of the most important biochemical reactions is catalyzed by enzymes.
Kutta method, which is generalized for a fuzzy system of differential equations. The convergence and stability of the method are also presented. Abstract In this work, we prove that the integrating factors can be used as a reduction method. In this work, we prove that the integrating factors can be used as a reduction method. Some of these ODEs had no quadrature. We here derive several new solutions for these non-solvable ODEs. Abstract The quest for an efficient nature-inspired optimization technique has continued over the last few decades.
In this paper, a hybrid nature-inspired optimization technique has been proposed. The quest for an efficient nature-inspired optimization technique has continued over the last few decades. SCUC has gained remarkable attention from researchers in the field of electric power systems, aiming to determine the generation schedule in which the system operator maximizes the system security and minimizes the generation costs, while satisfying the system and units’ constraints. Growth in the area of opinion mining and sentiment analysis has been rapid and aims to explore the opinions or text present on different platforms of social media through machine-learning techniques with sentiment, subjectivity analysis or polarity calculations. Despite the use of various machine-learning techniques and tools for sentiment analysis during elections, there is a dire need for a state-of-the-art approach. However, the traditional restarted CMRH method, which completely ignores the history information in the previous cycles, presents a slow speed of convergence.
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