There have been several techniques proposed for improving the performance of main-memory spatial indexes, but there has not been a comparative study of their performance. In this paper we compare the performance of six main-memory R-tree variants: R-tree, R*-tree, Hilbert R-tree, CR-tree, CR*tree, and Hilbert CR-tree. CR*-trees and Hilbert CR-trees are respectively a natural extension of R*-tre...

RECENT TRANSDISCIPLINARY DEEP LEARNING RESEARCH HAS INCREASED INTEREST IN USING THE AGRICULTURAL INDUSTRY. WEED MANAGEMENT AND CONTROL ARE SOME OF MOST CRUCIAL TASKS AGRICULTURE TO MAINTAIN OPTIMUM CROP PRODUCTIVITY. CORRECTLY IDENTIFYING UNDESIRABLE PLANTS MUST COME BEFORE PRESENTING A PRACTICAL PLAN ORDER MANAGE WEEDS. IMAGES COMPLEX CONTAIN ELEMENTS LIKE SIMILAR COLOR TEXTURE, THEREFORE WE N...

Control charts are powerful tools to monitor quality characteristics of services or production processes. However, in some processes, the performance of process or product cannot be controlled by monitoring a characteristic; instead, they require to be controlled by a function that usually refers as a profile. This study suggests employing exponentially weighted moving average (EWMA) and range ...

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The last decade has seen the emergence of a variety of cognitive architectures. This is good news, in general, for cognitive modeling, because architectures provide a readymade set of tools and theoretical constraints that can— according to architectural research methodology—assist the cognitive modeling enterprise by constraining the possible models of a set of phenomena or even making the “ri...

In many “smart city” applications, congestion arises in part due to the nature of signals received by individuals from a central authority. In the model of Mareček et al. [Int. J. Control 88(10), 2015], each agent uses one out of multiple resources at each time instant. The per-use cost of a resource depends on the number of concurrent users. A central authority has up-to-date knowledge of the ...

Simultaneously monitoring two or more quality characteristics depends on the development of more specific statistical tools to detect, identify and analyze the major causes of variability that affect the behavior of the production process. The multivariate control charts represent one of these emerging statistical techniques successfully used to monitor simultaneously several correlated charact...

CCC-r chart extended approach of CCC charts, is a technique applied when nonconforming items are rarely observed. However, it is usually assumed that the inspection process is perfect in the implementation control charts imperfect inspections may have a significant impact on the performance of the control chart and setting the control limits. This paper first investigates the ...

The cumulative count of a conforming (CCC) control chart is used for high quality processes.The CCC − r chart is an improvement of the CCC chart that is based on the cumulative number of items inspected until observing r non-conforming ones. This paper aims to propose a new approach for manufacturer’s decision making according to the criteria among the available options. The o...