In the present study, a comprehensive and systematic strategy was described to evaluate the performance of several three-way calibration methods on a bio-analytical problem. Parallel factor analysis (PARAFAC), alternating trilinear decomposition (ATLD), self-weighted alternating trilinear decomposition (SWATLD), alternating penalty trilinear decomposition (APTLD) and unfolded partial least squa...

a new structure learning approach for bayesian networks (bns) based on asexual reproduction optimization (aro) is proposed in this letter. aro can be essentially considered as an evolutionary based algorithm that mathematically models the budding mechanism of asexual reproduction. in aro, a parent produces a bud through a reproduction operator; thereafter the parent and its bud compete to survi...

Grid computing is a newly developed technology for complex systems with large-scale resource sharing and multi-institutional collaboration. The prominent feature of grid computing is the collaboration of multiple entities to perform collaborative tasks that rely on two fundamental functions: communication and resource sharing. Since the Internet is not security-oriented by design, there exist v...

Image mining is now a thriving and expanding field of computer science research. linked to the advancement data in image preparation. used extract hidden information other situations where photos do not clearly describe situation. combines machine learning, handling, application autonomy, preparation concepts. Semantic maps are visualize stored databases. We recommend using Multi-Child Maps bui...

this paper addresses the vehicle routing problem with delivery time cost. this problem aims to find a set of routes of minimal total costs including the travelling cost and delivery time cost, starting and ending at the depot, in such a way that each customer is visited by one vehicle given the capacity of the vehicle to satisfy a specific demand. in this research, a hybrid metaheuristic approa...

Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. One way to improve the performance and runtime of these algorithms is to use Dimensionality Reduction (DR) techniques. This paper evaluates the effect of thr...