In this paper, a delayed predator-prey model has been developed. Here, on the basis of infectious disease, the prey population has been divided into two sub-populations such as (i) susceptible prey and (ii) infected p...
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Measles is still one of the deadly diseases that terrify the world. Making accurate decisions is necessary in organizing an effective fight against the disease. Forecasting is a very important tool for planning future...
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Measles is still one of the deadly diseases that terrify the world. Making accurate decisions is necessary in organizing an effective fight against the disease. Forecasting is a very important tool for planning future needs of the health services including the vaccine stocks. Forecasting methods will help to watch over the critical stock levels of the medication as well as their expiration dates and perhaps take the necessary action to ensure a health stock flow. Governments and health institutions estimate the measles vaccine requirements using certain equations generally based on the size of the target population and the past consumption records. There are several studies that have examined the measles forecasting and conducted a vaccine requirement assessment. In this study genetic algorithm (GA) based trained recurrent fuzzy neural network (RFNN) and Adaptive neuro-fuzzy inference system (ANFIS) used to forecast the monthly measles cases in Ethiopia. The Ethiopia measles data was extracted from the World Health Organization Measles and Rubella Surveillance Data, which covers the period from January 2011 to December 2017. Out of total monthly measles cases, 80% were used for training, and 20% were chosen for testing. GA based trained RFNN shows better performance compared to ANFIS results.
Deep learning (DL) is deployed in Deep Neural Networks (DNNs), Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), Deep Stacked Networks (DSNs), Deep Belief Networks (DBNs), and Deep Boltzmann Mach...
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作者:
McBride, ConorProgramming Group
Department of Computer and Information Sciences University of Strathclyde Glasgow United Kingdom
The key to any nameless representation of syntax is how it indicates the variables we choose to use and thus, implicitly, those we discard. Standard de Bruijn representations delay discarding maximally till the leaves...
The problem of data entry in mobile devices is considered. The shortcomings of virtual projected keyboards are analyzed. The new input technology called VKF (Virtual Keyboard and Fingers) is offered. It is shown that ...
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ISBN:
(数字)9781728125640
ISBN:
(纸本)9781728125657
The problem of data entry in mobile devices is considered. The shortcomings of virtual projected keyboards are analyzed. The new input technology called VKF (Virtual Keyboard and Fingers) is offered. It is shown that VKF is more convenient not only in comparison with projected virtual keyboards, but also with data entry methods including use of on-screen keyboards.
MSC Codes 90C05, 90C10, 90C11, 90C30, 90C90, 65Y05The SCIP Optimization Suite provides a collection of software packages for mathematical optimization, centered around the constraint integer programming (CIP) framewor...
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this paper proposes a new collaborative filtering method with the calculation of unknown similarity coefficients between users via the application of production rules, which aims to improve the work quality of recomme...
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ISBN:
(数字)9781728137780
ISBN:
(纸本)9781728137797
this paper proposes a new collaborative filtering method with the calculation of unknown similarity coefficients between users via the application of production rules, which aims to improve the work quality of recommendation systems, to develop of production rules for the developed system. The methods used are: graph theory, the theory of algorithms, mathematical statistics, object-oriented programming, and fuzzy logic. The developed systems are new collaborative filtering method with the definition of unknown similarity coefficients between users through the application of production rules was developed, software for the implementation and testing of this method was developed, experiments on the developed software was conducted. The production rules to determine unknown similarity coefficients in recommendation systems was proposed. The new method of collaborative filtering with the application of production rules has been developed to find unknown similarity coefficients between users that may be possibly used to improve the work quality of the recommendation system. The conducted experiments showed that the developed method enhances the quality indicators of the recommendation system, such as item space coverage and the total number of predicted preferences of users.
The online tool travis can synthesize a k-bounded Petri net model from a reachability graph and unfold a k-bounded Petri net to its reachability graph. Synthesis is built on the theory of regions, but where travis and...
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This paper presents a new approach to predict the quality of polypropylene in petrochemical plants. The proposed approach constructs four different models, based on a large number of data collected from a renowned pet...
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In this paper, bipolar fuzzy planar graph is defined and studied several properties. The bipolar fuzzy planar graph is defined in a very interesting way. The parameter "degree of planarity" measures the plan...
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