نتایج جستجو برای: industrial clustering
تعداد نتایج: 248675 فیلتر نتایج به سال:
Digital image processing is the fastest growing computer-based technology. It plays a vital role in computer vision and image processing tasks and is generally used for various purposes like medical diagnosis, robotics, remote sensing, industrial inspection etc... Some major operations performed on an image to extract some useful information that corresponds to the key stages in the digital ima...
A problem that the software industry frequently faces is the maintenance and improvement of legacy software systems. Though most legacy software systems are still working well, their structure is often no longer understood. When one wants to migrate a legacy software system to a new operating system or different programming language, or to add to its functionality, it is essential to recover th...
clustering technique is one of the most important techniques of data mining and is the branch of multivariate statistical analysis and a method for grouping similar data in to same clusters. with the databases getting bigger, the researchers try to find efficient and effective clustering methods so that they can make fast and real decisions. thus, in this paper, we proposed an improved ant syst...
In recent years, the tremendous and increasing growth of spatial trajectory data and the necessity of processing and extraction of useful information and meaningful patterns have led to the fact that many researchers have been attracted to the field of spatio-temporal trajectory clustering. The process and analysis of these trajectories have resulted in the extraction of useful information whic...
Supervoxels have a widespread application of instance segmentation on account the merit providing highly approximate representation with fewer data. However, low accuracy, mainly caused by point cloud adhesion in localization industrial robots, is crucial issue. An improved bottom-up clustering method based supervoxels was proposed for better accuracy. Firstly, data were preprocessed to elimina...
Assigning a set of objects to groups such that objects in one group or cluster are more similar to each other than the other clusters’ objects is the main task of clustering analysis. SSPCO optimization algorithm is anew optimization algorithm that is inspired by the behavior of a type of bird called see-see partridge. One of the things that smart algorithms are applied to solve is the problem ...
of high-quality vegetable and industrial oil. 9 RAPD primers, 6 AFLP primer combinations and 12 agro-morphological traits were used to assess the genetic diversity of 20 accessions of saf flower representing global germplasm variability. Jacquards’ similarity coef ficient were used to understanding the genetic relationships among ccessions, for AFLP and RAPD markers and Euclidian similarity coe...
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