Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/158264
Author(s): Zhenhua Yu
Ayesha Sohail
Maryam Jamil
O. A. Beg
João Manuel R. S. Tavares
Title: HYBRID ALGORITHM FOR THE CLASSIFICATION OF FRACTAL DESIGNS AND IMAGES
Issue Date: 2023-09
Abstract: The fractal patterns are recursive patterns and are self-similar in nature. The fractal geometry provides better understanding of natural patterns as compared to the Euclidean geometry. The fractal designs have been used extensively in the fields of applied sciences due to the systematic methods used for their generation. These methods provide benchmarks to analyze the roughness, narrow/broad vision of the objects. In the fields of architecture and design, computational methods for fractal generation can prove to be more reliable tools. The fractal patterns can be simulated and the architecture can be modeled, with several options, before implementing it practically. During this research, this strategy is opted to design novel fractal tile designs. Several designs are selected from a series of simulations, based on the final visionary evaluation, according to the requirement of the walls of different zones in modern buildings. Four fractal patterns are simulated with several orientations and final designs are documented with corresponding geometrical evaluation.
Subject: Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
DOI: 10.1142/s0218348x23400030
URI: https://hdl.handle.net/10216/158264
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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