International Conference on Computer and Knowledge Engineering

Home / 11th International Conference on Computer and Knowledge Engineering

Islamic Geometric algorithms: A survey

Authors :

Elham Akbari¹ Azam Bastanfard²

1- Department of computer engineering, Islamic Azad university of Karaj, Iran 2- Department of computer engineering, Islamic Azad university Karaj, Iran

Keywords :

IGP, Islamic geometrical patterns, Islamic art, ornamental sketches

Abstract :

Hundreds of years ago, Muslim artisans began to decorate architectural surfaces with geometric designs, And they created great masterpieces. Unfortunately, there is not much documentation on calculating and designing these artifacts, but few studies have examined these patterns from an algorithmic perspective. This article reviews the existing studies in the field of algorithmic analysis of Islamic geometric patterns. Its main purpose was to provide a classification of algorithms for drawing and analyzing Islamic geometric patterns. Finally, the advantages and disadvantages of the most important algorithms in this field are described.

List of archived papers

Joint mobility-aware offloading and UAV position optimization in Blockchain-enabled 5G

Zeinab Rabbani - Zeinab Movahedi

A Deep CNN Model Based Ensemble Approach for Semantic and Instance Segmentation of Indoor Environment

Sajad Rezaei - Jafar Tanha - Zahra Jafari - SeyedEhsan Roshan - Mohammad-Amin Memar Kochebagh

A parallel CNN-BiGRU network for short-term load forecasting in demand-side management

Arghavan Irankhah - Sahar Rezazadeh Saatlou - Mohammad Hossein Yaghmaee - Sara Ershadi-Nasab - Mohammad Alishahi

SGFL: A Federated Learning Approach for Non-IID Data Using Semi-Supervised DCGAN

Alireza Rabiee - Abolfazl Ajdarloo - Mohsen Rahmani

Adaptive Channel Estimation for MIMO-OFDM Systems in Impulsive Noise Environments

Mojtaba Hajiabadi

Investigation of topological characteristics of Iranian railway network: A network science approach

Sina Firuzbakht - Mohammad Khansari

Leveraging the Power of Object Detection Models in Identifying Litter for a Significant Reduction in Environmental Pollution

Lim Zhen Xian - Ervin Gubin Moung - Jason Teo Tze Wi - Nordin Saad - Farashazillah Yahya - Tiong Lin Rui - Ali Farzamnia

Evaluating the Impact of Traveling on COVID-19 Prevalence and Predicting the New Confirmed Cases According to the Travel Rate Using Machine Learning: A Case Study in Iran

Anita Ghandehari - Soheil Shirvani - Hadi Moradi

Averting Mode Collapse for Generative Zero-Shot Learning

Shayan Ramazi - Setare Shabani

CSI-Based Human Activity Recognition using Convolutional Neural Networks

Parisa Fard Moshiri - Mohammad Nabati - Reza Shahbazian - Seyed Ali Ghorashi

more

Samin Hamayesh - Version 42.2.1