Modeling of Anthrax Disease via Efficient Computing Techniques
نویسندگان
چکیده
Computer methods have a significant role in the scientific literature. Nowadays, development computational for solving highly complex and nonlinear systems is hot issue different disciplines like engineering, physics, biology, many more. Anthrax primarily zoonotic disease herbivores caused by bacterium called Bacillus anthracis. Humans generally acquire directly or indirectly from infected animals, through occupational exposure to contaminated animal products. The outbreak of human anthrax reported Eastern Mediterranean regions Pakistan, Iran, Iraq, Afghanistan, Morocco, Sudan. Almost ninety-five percent chances are transmission bacteria forming spores World Health Organization (WHO). modeling an based on four compartments along with two humans (susceptible infected) others dead bodies sporing agents. mathematical analysis studied fundamental properties deterministic modeling. stability model equilibria rigorously. authentication analytical results examined well-known computer Euler, Runge Kutta, Non-standard finite difference (NSFD) feasible (positivity, boundedness, dynamical consistency) model. In end, comparison algorithms shows effectiveness methods.
منابع مشابه
Modeling Approximate Computing Techniques
The efficiency–accuracy trade-off of approximate computing spans a diverse array of techniques at both the hardware and software levels. While this diversity is key to the success of approximation research, it also entails considerable complexity in developing and validating new approximation techniques. Researchers must relate their ideas to a vast body of work on approximate computing and inv...
متن کاملEfficient Techniques for Distributed Computing
We discuss a set of novel techniques we are developing, which build on standard tools, t o make distributed computing for large-scale simulations across multiple machines (even scattered across different continents) a reality. With these techniques we demonstrate here that we are able t o scale a tightly coupled scientific application in metacomputing environments. Such research and development...
متن کاملComputing Optical Flow via Variational Techniques
Deened as the apparent motion in a sequence of images, the optical ow is very important in the Computer Vision community where its accurate estimation is strongly needed for many applications. It is one of the most studied problem in Computer Vision. In spite of this, not much theoretical analysis has been done. In this article, we rst present a review of existing variational methods. Then, we ...
متن کاملApplication of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters
The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight (m), and solution concentration (ppm). The main target of this work is to model and evaluate the process of pollutant adsorption from industrial wastewaters using the non-linear multivariate regression and intell...
متن کاملComputing Branchwidth Via Efficient Triangulations and Blocks
Minimal triangulations and potential maximal cliques are the main ingredients for a number of polynomial time algorithms on different graph classes computing the treewidth of a graph. Potential maximal cliques are also the main engine of the fastest so far exact (exponential) treewidth algorithm. Based on the recent results of Mazoit, we define the structures that can be regarded as minimal tri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Intelligent Automation and Soft Computing
سال: 2022
ISSN: ['2326-005X', '1079-8587']
DOI: https://doi.org/10.32604/iasc.2022.022643