Requirements traceability is becoming increasingly significant element in software engineering. It provides critical function in the development and maintenance of a software system. From the software evolution point ...
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We present the results of a data mining research on the use of GPS positions and speed of travel of vehicles in urban areas to determine optimal travel routes for emergency vehicles. A new approach using predictive pr...
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ISBN:
(纸本)9781424448784
We present the results of a data mining research on the use of GPS positions and speed of travel of vehicles in urban areas to determine optimal travel routes for emergency vehicles. A new approach using predictive programming is presented. The approach focuses on using data mining of existing data as the key factor in the application logic where various decisions are to be made. The main appeal of such an approach is that the application logic evolves over time according to the application data. As the data changes the decisions soon follow. This gives the impression of intelligent behavior of the application. Copy;2009 IEEE.
The lungs are one of the organs of the body that are responsible for the human respiratory process and are very susceptible to dangerous diseases. For this reason, early detection and diagnosis of lung organs is neede...
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The Google Play platform boasts a total of 2,597,819 applications. A pivotal gauge of an application's success rests on its practical utility in daily life, coupled with its demonstrated strong performance metrics...
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It is well known that surface-relief dielectric gratings with rectangular profile can be treated by uniform approximation of equivalent permittivity when the periodicity is very small compared with a wavelength. In op...
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It is well known that surface-relief dielectric gratings with rectangular profile can be treated by uniform approximation of equivalent permittivity when the periodicity is very small compared with a wavelength. In optics, this phenomenon is the equivalent anisotropic effects or the form birefringence. When the periodicity is very small, the equivalent anisotropic effects will be shown in index modulated gratings. In this paper, the uniform approximation is described for electromagnetic scattering problem by index modulated gratings. Scattering properties by dielectric slabs are calculated by transmission-line theory and the equivalent permittivity obtained from our proposed formulation of uniform approximation. Scattering by index modulated gratings are analyzed rigorously by the matrix eigenvalue calculations by using Fourier expansion method and the spatial harmonics expansions. When the periodicity is small, both results are in good agreement. By investigating the difference between the equivalent permittivity and the numerical values corresponding to the permittivity of index modulated gratings, the applicable condition of the uniform approximation is shown. And the equivalent anisotropic effects of various permittivity profiles are compared.
The peer-reviewed articles and textual data are main source of data in biology. Text mining is solution to extract information from textual data sources that are usually in bulky quantities, messy and disorganized. De...
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Learning analytics is an emerging technique of analysing student par-ticipation and *** recent COVID-19 pandemic has significantly increased the role of learning management systems(LMSs).LMSs previously only complement...
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Learning analytics is an emerging technique of analysing student par-ticipation and *** recent COVID-19 pandemic has significantly increased the role of learning management systems(LMSs).LMSs previously only complemented face-to-face teaching,something which has not been possible between 2019 to *** date,the existing body of literature on LMSs has not analysed learning in the context of the pandemic,where an LMS serves as the only interface between students and ***,productive results will remain elusive if the key factors that contribute towards engaging students in learning are notfirst identifi***,this study aimed to perform an exten-sive literature review with which to design and develop a student engagement model for holistic involvement in an *** required data was collected from an LMS that is currently utilised by a local Malaysian *** model was validated by a panel of experts as well as discussions with *** is our hope that the result of this study will help other institutions of higher learning determine factors of low engagement in their respective LMSs.
In this paper,we combine decision fusion methods with four metaheuristic algorithms(Particle Swarm Optimization(PSO)algorithm,Cuckoo search algorithm,modification of Cuckoo Search(CS McCulloch)algorithm and Genetic al...
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In this paper,we combine decision fusion methods with four metaheuristic algorithms(Particle Swarm Optimization(PSO)algorithm,Cuckoo search algorithm,modification of Cuckoo Search(CS McCulloch)algorithm and Genetic algorithm)in order to improve the image *** proposed technique based on fusing the data from Particle Swarm Optimization(PSO),Cuckoo search,modification of Cuckoo Search(CS McCulloch)and Genetic algorithms are obtained for improving magnetic resonance images(MRIs)*** algorithms are used to compute the accuracy of each method while the outputs are passed to fusion *** order to obtain parts of the points that determine similar membership values,we apply the different rules of incorporation for these *** proposed approach is applied to challenging applications:MRI images,gray matter/white matter of brain segmentations and original black/white images Behavior of the proposed algorithm is provided by applying to different medical *** is shown that the proposed method gives accurate results;due to the decision fusion produces the greatest improvement in classification accuracy.
Machine learning (ML) methods are used to extract new knowledge from existing datasets. Ensemble methods (EM) were introduced to improve the ML performance. While EM's offer performance improvements, they limit th...
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ISBN:
(纸本)1601322178
Machine learning (ML) methods are used to extract new knowledge from existing datasets. Ensemble methods (EM) were introduced to improve the ML performance. While EM's offer performance improvements, they limit the amount of control and general understanding of how the final result was achieved. We are researching the possibility to verify ML results with formalization of research results accessible in natural language. We propose to use the extracted information from scientific papers for the verification of ML results. In order to be able to extract the information, relevant to the ML results, an approach to extract specific information rich segments from scientific papers is needed. We present an approach to automated selection of relevant segments from large repositories.
Charities face a difficult funding environment, mainly because charities are not highly transparent. Day over day It became more difficult to know whether donations are reaching the right place, or taking another cour...
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