نتایج جستجو برای: machine tool optimization

تعداد نتایج: 896673  

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...

Iman Sahraei Dehmajnoonie Keivan Borna vahid Hajihashemi Zeinab Hassani,

Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...

Journal: :Journal of the Institution of Production Engineers 1936

Journal: :Design of machines and structures 2021

The 3D printing, as a modern manufacturing method, is becoming more widespread and overrides the usual industry conventions. While it was mainly known in production of plastic parts, nowadays metal-based versions are also widespread. Reputable machine tool manufacturers such DMG Mori or GE compete with each other to create equipment for this technology industry, where there growing market machi...

Journal: :international journal of advanced design and manufacturing technology 0
m. vahdati a.r. vahdati

recently, incremental sheet metal forming (ismf) process as one of the new methods in rapid prototyping collection has been considered by researchers. this process is based on a defined path in cnc controller and applies a spherical-head tool that supplies the required pressure for sheet metal forming. despite affirmation of process ability in forming symmetric geometries, some of its aspects s...

Journal: :Transactions of the Japan Society of Mechanical Engineers 1957

Journal: :MM Science Journal 2009

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