ردیف |
عنوان مقاله |
نام نشریه |
سال |
شماره مجله |
شماره صفحات |
1 |
Nonlinear model identification of dissimilar laser joining of S.S 304 and ABS using the Hammerstein–Wiener method |
OPTIK |
2021 |
225 |
1-9 |
2 |
Statistical estimation the thermal conductivity of MWCNTs-SiO2/Water-EG nanofluid using the ridge regression method |
Physica A: Statistical Mechanics and its Applications |
2020 |
537 |
1-6 |
3 |
Effects of nano-clay content, foaming temperature and foaming time on density and cell size of PVC matrix foam by presented Least Absolute Shrinkage a |
Physica A: Statistical Mechanics and its Applications |
2020 |
537 |
122637 |
4 |
Nonlinear aeroelastic modeling of aircraft using support vector machine method |
Aircraft Engineering and Aerospace Technology |
2020 |
92-3 |
502–518 |
5 |
The impact energy analysis by genetic algorithm and response surface methods to study the plastic composite, compatibilizer, and recycled poly effects |
Journal of Thermal Analysis and Calorimetry |
2020 |
141 |
421–433 |
6 |
Controlled elitist multi-objective genetic algorithm joined with neural network to study the effects of nano-clay percentage on cell size and polymer |
Journal of Thermal Analysis and Calorimetry |
2020 |
139 |
2801–2810 |
7 |
Compression ratio energy and exergy analysis of a developed Brayton-based power cycle employing CAES and ORC |
Journal of Thermal Analysis and Calorimetry |
2020 |
139 |
2781–2790 |
8 |
A novel sensitivity analysis model of EANN for F-MWCNTs–FeO/EG nanofluid thermal conductivity: Outputs predicted analytically instead of numerically t |
Physica A: Statistical Mechanics and its Applications |
2019 |
521 |
406-415 |
9 |
A novel nonlinear regression model of SVR as a substitute for ANN to predict conductivity of MWCNT-CuO/water hybrid nanofluid based on empirical data |
Physica A: Statistical Mechanics and its Applications |
2019 |
521 |
89-97 |
10 |
Develop24dissimilarANNsbysuitablearchitectures |
Physica A: Statistical Mechanics and its Applications |
2019 |
519 |
159-168 |
11 |
A novel comprehensive experimental study concerned graphene oxide nanoparticles dispersed in water: Synthesise, characterisation, thermal conductivity |
International Communications in Heat and Mass Transfer |
2019 |
109 |
1-16 |
12 |
Present a new multi objective optimization statistical Pareto frontier method composed of artificial neural network and multi objective genetic algori |
Physica A: Statistical Mechanics and its Applications |
2019 |
535 |
1-11 |
13 |
Minimize pressure drop and maximize heat transfer coefficient by the new proposed multi-objective optimization/statistical model composed of ANN Ge |
Physica A: Statistical Mechanics and its Applications |
2019 |
527 |
1-13 |
14 |
Propose a new approach of fuzzy lookup table method to predict Al2O3/deionized water nanofluid thermal conductivity based on achieved empirical data |
Physica A: Statistical Mechanics and its Applications |
2019 |
527 |
1-12 |
15 |
Rheological properties of SWCNT/EG mixture by a new developed optimization approach of LS-Support Vector Regression according to empirical data |
Physica A: Statistical Mechanics and its Applications |
2019 |
525 |
912-920 |
16 |
Robust Weighted Least Squares Support Vector Regression algorithm to estimate the nanofluid thermal properties of water/graphene Oxide–Silicon carbide |
Physica A: Statistical Mechanics and its Applications |
2019 |
525 |
1418-1428 |
17 |
Flight dynamics modeling of elastic aircraft using signal decomposition methods |
Proceedings of stitution of Mechanical Engineers, Part G: Journal of Aerospace Engineering |
2019 |
233 |
4380-4395 |
18 |
Effects of magnetic field on micro cross jet injection of dispersed nanoparticles in a microchannel |
International Journal of Numerical Methods for Heat |
2019 |
30-5 |
2683-2704 |
19 |
A new method of black-box fuzzy system identification optimized by genetic algorithm and its application to predict mixture thermal properties |
International Journal of Numerical Methods for Heat |
2019 |
30-5 |
2485-2499 |
20 |
Nonlinear function estimation fuzzy system (NFEFS) as a novel statistical approach to estimate nanofluids’ thermal conductivity according to empirical |
International Journal of Numerical Methods for Heat |
2019 |
30-6 |
3267-3281 |
21 |
Development and Validation of an Enhanced Semi-empirical Method for Estimation of Aerodynamic Characteristics of Light, Propeller-Driven Airplanes |
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING |
2018 |
232(4 |
638-648 |
22 |
An improved signal envelope estimation method for analysis of acoustic signals emitted by remotely piloted helicopters |
Applied Acoustics |
2018 |
135 |
8-21 |
23 |
Nonlinear aircraft system identification using artificial neural networks enhanced by empirical mode decomposition |
Aerospace Science and Technology |
2018 |
75 |
155-171 |
24 |
Nonlinear adaptive sliding mode tracking control of an airplane with wing damage |
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering |
2018 |
232-8 |
1405-1420 |
25 |
Electro- and thermophysical properties of water-based nanofluids containing copper ferrite nanoparticles coated with silica: Experimental data, modeli |
International Journal of Heat and Mass Transfer |
2018 |
127 |
925-935 |
26 |
Synthesized CuFe2O4/SiO2 nanocomposites added to water/EG: Evaluation of the thermophysical properties beside sensitivity analysis |
International Journal of Heat and Mass Transfer |
2018 |
127 |
1169-1179 |
27 |
Detection of the ice assertion on aircraft using empirical mode decomposition enhanced by multi-objective optimization |
Mechanical Systems and Signal Processing |
2017 |
88 |
9-24 |
28 |
A Local and Online Sifting Process for the Empirical Mode Decomposition and its Application in Aircraft Damage Detection |
Mechanical Systems and Signal Processing |
2015 |
54-55 |
68-83 |
29 |
Estimation of flight modes with Hilbert-Huang transform |
Aircraft Engineering and Aerospace Technology |
2015 |
87-5 |
402–417 |
30 |
Nonlinear Aerodynamic Model Identification Using Eempirical Mode Decomposition |
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING |
2014 |
229-9 |
1588-1605 |
31 |
تحليل عملکرد پروازي يک پرنده مهاجر به کمک معادلات مکانيک پرواز |
شريه علمي پژوهشي دانش و فناوري هوافضا |
1399 |
9-1 |
23-38 |
32 |
مطالعه تجربي و عددي برداشت انرژي از بارگذاري هارمونيک وارد بر بال ميکروپهپادهاي داراي نسبت منظري بالا |
فصلنامه مهندسي مکانيک مدرس |
1397 |
18-9 |
1-7 |
33 |
تخمين مودهاي پروازي هواپيما با استفاده از انتقال هيلبرت هوانگ |
نشريه علمي و پژوهشي دانش و فناوري هوافضا |
1393 |
3-2 |
35-53 |