Automating detection and localization of myocardial infarction using shallow and end-to-end deep neural networks

Autor: Mohammadsadegh Mobin, Kamal Jafarian, Vahab Vahdat, Seyedmohammad Salehi

Publikováno v: Jafarian, K, Vahdat, V, Salehi, S & Mobin, M 2020, ' Automating detection and localization of myocardial infarction using shallow and end-to-end deep neural networks ', Applied Soft Computing Journal, vol. 93, 106383 . https://doi.org/10.1016/j.asoc.2020.106383

Myocardial infarction (MI), also known as a heart attack, is one of the common cardiac disorders caused by prolonged myocardial ischemia. For MI patients, specifying the exact location of a heart muscle suffering from blood shortage or stoppage is of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2fb3a20f6e9dc60924bd7773a5b5da5
https://vbn.aau.dk/da/publications/23101996-ac9e-4ba0-a226-98cd41434edc

Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring

Autor: Mohammadsadegh Mobin, Ruholla Jafari-Marandi, Elaheh Rabiei, Kamal Jafarian

Publikováno v: Measurement. 128:527-536

Fault diagnosis of the rotary machines is investigated through different kinds of signals. However, the literature shows that the vibration signal analysis is the most commonly used and effective approach. This research investigates the engine faults

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c09b728e359e14dd82d0e471abee3b04
https://doi.org/10.1016/j.measurement.2018.04.062

A Multiobjective Approach for Multistage Reliability Growth Planning by Considering the Timing of New Technologies Introduction

Autor: Mohammadsadegh Mobin, Zhaojun Li, Ghorbanmohammad Komaki

Publikováno v: IEEE Transactions on Reliability. 66:97-110

This paper proposes a new multiobjective multiple stage reliability growth planning (MO-MS-RGP) model. The model is based on multiobjective consideration of developing a new product, including the cost, time, and product reliability. The number of te

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fb347e41439f3f5d4be4f45f32964148
https://doi.org/10.1109/tr.2016.2638124

Multi-scenario and multi-criteria approach to evaluate prediction techniques used to recognise failure patterns

Autor: Mohammadsadegh Mobin, Jean-Pierre Kenné, Mahdi Mohammadi Tehrani, Yvan Beauregard, Michel Rioux

Publikováno v: International Journal of Applied Decision Sciences. 14:361

Predicting the next failure of a specific component in a machine results in higher performance of the equipment in terms of its reliability. This study examines the five most applicable prediction methods used to predict HVAC filter blockage. Conside

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https://doi.org/10.1504/ijads.2021.115994

Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS

Autor: Ehsan Teymourian, Mohammadsadegh Mobin, Mohammad Komaki, Madjid Tavana, Zhaojun Li

Publikováno v: Expert Systems with Applications. 50:17-39

We use NSGA-III and MOPSO algorithms to solve a multi-objective X-bar control chart design problem.NSGA-III and MOPSO are modified to handle a constrained multi-objective problem with discrete and continuous variables.Four DEA models are proposed to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::14515beaeae7932ef0807808828d134b
https://doi.org/10.1016/j.eswa.2015.11.007