Abstract This research article examines the correctness of two new analytical methods for solving internal solitary waves shallow seas. To get computational solutions to positive (2 + 1)-dimensional Gardner–Kadomtsev–Petviashvili model, extended simplest equation and modified Kudryashov are used. Numerous traveling wave in various forms developed order assess starting conditions required variat...

Although brute-force simulations of Maxwell’s equations, such as FDTD methods, have enjoyed wide success in modeling photonic-crystal systems, they are not ideally suited for the study of weak perturbations, such as surface roughness or gradual waveguide transitions, where a high resolution and/or large computational cells are required. Instead, we suggest that these important problems are idea...

A parallel program should be evaluated to determine its efficiency, accuracy and benefits. This paper defines how parallel programs differ by sequential programs. A brief discussion on the effect of increasing number of processors on execution time is given. Some of the important measurement units which are used for the purpose of measuring performance of a parallel program are discussed. Vario...

Meta-learning involves the construction of a classifier that predicts the performance of another classifier. Previously proposed approaches do this by making a single prediction (such as the expected accuracy) for a complete data set. We suggest modifying this framework so that the meta-classifier predicts for each data point in the data set whether a particular base-classifier will classify it...

Statistical data for agricultural policy analysis has certain unique features: a multitude of sources of very different nature; a variety of dimensional granularity; different end user requirements. The utilization of Data Warehouse technology would be valuable for overcoming the above data issues. Ιn this paper, we describe the technologies involved and the data modeling requirements, making a...

Résumé. Aujourd’hui de plus en plus de données sont disponibles pour une analyse décisionnelle et reposent sur des indicateurs décisionnels. Bien que différentes technologies décisionnelles aient été développées, nous constatons le manque d’un cadre conceptuel pour la définition et l’implémentation de ces indicateurs. Dans ce papier, nous présentons une première classification de ces indicateur...

The emerging concept of multidimensional process mining adopts the ideas of data cubes and OLAP to analyze processes from multiple views. Analysts can split the event log into a set of homogenous sublogs according to its case and event attributes. Process mining techniques are used to create an individual process model for each sublog representing variants of the process. These models can be co...