The proposed TPVR interaction consists of the ability to directly control the virtual environment and objects by utilizing the hands. Abstract Recently, real-time human age estimation based on facial images has been applied in various areas. Recently, real-time human age estimation based on facial images has been applied in various areas. Underneath this phenomenon lies an awareness that age estimation plays an important role in applying big data to target marketing for age groups, product demand surveys, consumer trend analysis, etc. However, in a real-world environment, various optical and motion blurring effects can occur.
Abstract Quantitative analysis through image processing is a key step to gain information regarding the microstructure of materials. Quantitative analysis through image processing is a key step to gain information regarding the microstructure of materials. Our work makes three key contributions. Abstract Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools.
Mining process of big data is the ability to extract valuable information from these large datasets. Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools. Association rule mining is a type of data mining process, which is indented to determine interesting associations between items and to establish a set of association rules whose support is greater than a specific threshold. Abstract The aim of the study is to develop an original, methodical, and practical approach to the early stages of parametric design of roof shells formed by repetitive modules of Catalan surfaces.
The aim of the study is to develop an original, methodical, and practical approach to the early stages of parametric design of roof shells formed by repetitive modules of Catalan surfaces. It is presented on the example of designing the roof shells compound of four concrete elements. The designing process proposed by us consists in linking geometric shaping of roofs’ models with their structural analysis and optimization. To resolve this paradox, the spatial homeostasis hypothesis has been proposed. This paper presents a new algorithm for the resolution of over-constrained lumped process systems, where partial differential equations of a continuous time and space model of the system are reduced into ordinary differential equations with a finite number of parameters and where the model equations outnumber the unknown model variables.
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