3 Papers
20 Citations
M. Qasemi is an academic researcher from Shahid Rajaee Teacher Training University. The author has contributed to research in topics: Computer science & Support vector machine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Experimental evaluation, modeling and sensitivity analysis of temperature and cutting force in bone micro-milling using support vector regression and EFAST methods
TL;DR: In this paper , a machine learning technique known as support vector regression (SVR) is used to model and predict the force and temperature in the machining procedure, and a big dataset is prepared, and by utilizing the extended Fourier amplitude sensitivity test (EFAST), the effectiveness of the output variables on the input parameters was determined.
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Modeling and Experiment of a Flexible Module Actuated by Shape Memory Alloy Wire
Alireza Hadi,M. Qasemi,Mohammad Elahinia,Narges Shayesteh Moghaddam +3 more
- 08 Sep 2014
TL;DR: In this article, a simple flexible module is presented for use in an endoscopy system, which includes a compressive spring which could be bent to the sides, providing an almost large displacement and orientation change between the end planes of module.
20
An effect of osteon orientation in end milling operation of cortical bone based on FEM and experiment
TL;DR: In this paper , numerical simulation of bone milling process has been used for acquiring process cutting force and temperature and comparison with already reported experimental data, which revealed good agreement between numerical and experimental results, as errors were below 4 % and 8 % for prediction of temperature and cutting force respectively.
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