0 Project completed
I am a Master of Electronic Engineering at Hakim Sabzevari University, and now with about 10 years of research and teaching experience in Electronic. I have some patents, more than 5 Papers, and some International and National Awards. I am a professional in Electronics, robotics with good experience in ARM/AVR Microcontroller experience added Python and C# Programing. Most of my activities are around Design Electronic Boards, Artificial Intelligence, Automation, and Control systems.
0 Project completed
Thesis: Flexible Capacitive Tactile sensors, Design and Implementation.
Thesis: Disabled Robot.
Energy comparison of MPPT techniques for PV Systems under different atmospheric Conditions HKMF com. Global Scientific Journals 7 (8), 1216.
Diagnose the Size of Left Atrial Appendage for Watchman Device. HKMF com Biomedical Sciences 5 (No. 4), 38-44,
"Flexible Capacitive Sensorsbased on paper sheets." (2016) Fatahi, Masoome, Mojtaba Farzaneh, and SeyedJavad Azimfar.
Accelerate the Face Recognition Technique Optimization with Spatial context model and discrete cosine transform (DCT).” Mojtaba Farzaneh, Toktam Ebrahim zade, Masoome Fatahi “
“Simulation of Wind Generator with Fixed Wind” M. Motahari, M. Farzaneh, A. Parsian Nejad.
Turbine under Matlab-Simulink”. World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering Vol: 1, No: 12, 2014.
Accelerate the Face Detection Optimization with Edge Detection and the Discrete Cosine Transform (DCT)”, International Journal of Computer Applications 82 (2), 12-14. November 2013. DOI: 10.5120/14086-1197 J. Haddadnia, M. Farzaneh, A. ParsianNejad. “
"A Novel Methodfor Optimum Electrical Energy Harvesting from Wind Turbines: A Space-Time Modelfor Wind Farm by Neuro-Fuzzy Strategy." Journal of Control 6.3 (2012). Shojaedini, Seyed Vahab, Armin Parsian'nejad, and Mojtaba Farzaneh.
ANN-Based Diagnosis Method for Skin Cancers Using Dermoscopic Images.
Number Plate Recognition.
In This System we give Picture of Skin and then after some of calculation, segmentation and processing result is about detect Melanoma or naevus.
These processes utilize images that were taken by echocardiography (Echo) from the heart of patients and analyzes at high speed with precision, and used the standard table provided by the manufacturer (WATCHMAN) and Neural Network (NN) to determine the accuracy and the appropriate size of LAA for left atrial appendage closure (LAAC).
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia