In this article, we consider the problem of reshaping a deformable linear object (DLO) like wires, cables, ropes, and surgical sutures. The solution to would be useful for many fields, especially industrial manufacturing, where DLO manipulation is still frequently carried out by human workers. work, new model-based technique addressed employing sequence grasping releasing primitives performed s...

Abstract In this study, the unsteady squeezing flow between circular parallel plates (USF-CPP) is investigated through intelligent computing paradigm of Levenberg–Marquard backpropagation neural networks (LMBNN). Similarity transformation introduces fluidic system governing partial differential equations into nonlinear ordinary equations. A dataset generated based on fluid USF-CPP for LMBNN Run...

Traditionally, music was considered an analog signal that had to be made by hand. In recent decades, has been highlighted technology can autonomously compose a suite of without any human interaction. To achieve this goal, article suggests autonomous composition technique based on long short-term memory recurrent neural networks. Firstly, the collection is split into sequences unit time, and Mei...

In this research, considering the importance of the topic and the gap in previous researches, a model for predicting tax evasion of guilds based on data mining technique is presented. The analyzed data includes the review of 5600 tax files of all trades with tax codes in Qazvin province during the years 2013-2018. The tax file related to guilds is in five tax groups, including the guild group o...