Dr. Amirhosein Mosavi, PhD.
Pracovné zaradenie:
Vedecko-výskumný pracovník
Oddelenie:
Oddelenie informatizácie a riadenia procesov (OIaRP)
Miestnosť:
NB 647
eMail:
amirhosein.mosavi@stuba.sk
Webová stránka:
https://www.researchgate.net/profile/Amir-Mosavi-3
Telefón:
+421 259 325 349
ORCID iD:
0000-0003-4842-0613
WoS ResearcherID:
I-7440-2018
Vedecká činnosť:
Statistical machine learning, explainable, ethical and robust AI, scalable
inference, probabilistic programming, and building an automatic
statistician. https://scholar.google.com/citations?hl=en&user=aGvspKAAAAAJ&view_op=list_works&sortby=pubdate
Dostupnosť:
Vybrané publikácie
Článok v časopise
S. M. Akhtar – M. Nazir – K. Saleem – R. Z. Ahmad – A. R. Javed – S. Band – A. Mosavi: A Multi-Agent Formalism Based on Contextual Defeasible Logic for Healthcare Systems . Frontiers in Public Health , zv. 10 , 2022.
A. AMANLOU – A. A. SURATGAR – J. TAVOOSI – A. MOHAMMADZADEH – A. Mosavi: Single-Image Reflection Removal Using Deep Learning: A Systematic Review . IEEE Access , zv. 11 , 2022.
S. Ardabili – L. Abdolalizadeh – C. Mako – B. Torok – A. Mosavi: Systematic Review of Deep Learning and Machine Learning for Building Energy . Frontiers in Energy Research , zv. 10 , 2022. arXiv
S. Band – S. Addabili – A. Mosavi – A. Yarahmadi – B. Pahlevanzadeh – A. K. Kiani – H. Allnejad-Rokny – I. Dehzangi – A. Chang – A. Beheshti – M. Moslehpour: A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis . Frontiers in Public Health , zv. 10 , 2022.
S. Band – H. Karani – Y. Jeong – M. Moslemzadeh – S. Farzin – K. Chau – S. M. Bateni – A. Mosavi: Evaluation of Time Series Models in Simulating Different Monthly Scales of Drought Index for Improving Their Forecast Accuracy . Frontiers in Earth Science , zv. 10 , 2022.
W. Chen – D. Sharifrazi – G. Liang – S. S. Band – K. W. Chau – A. Mosavi: Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit . Engineering Applications of Computational Fluid Mechanics , č. 1, zv. 16 , 2022.
G. Chun Wang – Q. Zhang – S. Band – A. Mosavi: Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models . Engineering Applications of Computational Fluid Mechanics , č. 1, zv. 16 , 2022.
S. D. Farahani – A. H. Rabiee – A. M. Zakinia – A. Mosavi: A comparison of the pulsating and steady jets on flow-induced vibrations and thermal behavior of a sprung cylinder inside an isothermal channel . Case Studies in Thermal Engineering , zv. 30 , 2022.
J. Hassannataj Joloudari – S. Mojrian – I. Nodehi – A. Mashmool – Z. Kiani Zadegan – S. Khanjani Shirkharkolaie – R. Alizadehsani – T. Tamadon – S. Khosravi – M. Akbari Kohnehshari – E. Hassannatajjeloudari – D. Sharifrazi – A. Mosavi – H. Wen Loh – R. Tan – U. R. Acharya: Application of artificial intelligence techniques for automated detection of myocardial infarction: a review . Physiological Measurement , č. 8, zv. 43 , 2022.
F. Hejazi – H. Karim – H. Kazemi – S. Shahbazpanahi – A. Mosavi: Fracture mechanics modeling of reinforced concrete joints strengthened by CFRP sheets . Case Studies in Construction Materials , č. 11, zv. 6 , 2022.
H. Karami – Y. DadrasAjirlou – C. Jun – S. M. Bateni – S. S. Band – A. Mosavi – M. Moslehpour – K. Chau: A Novel Approach for Estimation of Sediment Load in Dam Reservoir With Hybrid Intelligent Algorithms . Frontiers in Environmental Science , zv. 10 , 2022.
H. Kazemi – R. H. Faraj – W. Abdullah – S. Shahbazpanahi – A. Mosavi: Effect of Medium-Density Fiberboard wastes ash on calcium silicate hydrate crystal of concrete . Journal of the Air & Waste Management Association , zv. 7 , 2022.
M. S. I. Khan – A. Rahman – T. Debnath – M. R. Karim – M. Kamal Nasir – S. S. Band – A. Mosavi – I. Dehzangi: Accurate brain tumor detection using deep convolutional neural network . Computational and Structural Biotechnology Journal , zv. 20 , 2022.
H. Lin – A. Gharehbaghi – Q. Zhang – S. S. Band – H. T. Pai – K. Chau – A. Mosavi: Time series-based groundwater level forecasting using gated recurrent unit deep neural networks . Engineering Applications of Computational Fluid Mechanics , č. 1, zv. 16 , 2022.
S. Liu – D. Bahrami – R. Kalbasi – M. Jahangiri – Y. Lu – X. Yang – S. S. Band – K. Chau – A. Mosavi: Efficacy of applying discontinuous boundary condition on the heat transfer and entropy generation through a slip microchannel equipped with nanofluid . Engineering Applications of Computational Fluid Mechanics , č. 1, zv. 16 , 2022.
S. Mahjoub – M. Golsorkhtabaramiri – S. S. Salehi Amiri – M. Hosseinzadeh – A. Mosavi: A New Combination Method for Improving Parallelism in Two- and Three-level Perfect Nested Loops . IEEE ACCESS , 2022.
S. Mahmoodi – M. Heydari – K. Ahmadi – N. R. Khwarahm – O. Karami – K. Almasieh – B. Naderi – P. Bernard – A. Mosavi: The current and future potential geographical distribution of Nepeta crispa Willd., an endemic, rare and threatened aromatic plant of Iran: Implications for ecological conservation and restoration . Ecological Indicators , zv. 137 , str. 108752, 2022.
M. R. Mahmoudi – A. Mosavi: Cyclocopula Technique to Study the Relationship between two Cyclostationary time Series with Fractional Brownian Motion Errors . Fractals , 2022.
M. Maleki – M. Reza Mahmoudi – H. Bidram – A. Mosavi: Skewed Auto-Regressive Process with Exogenous Input Variables: An Application in the Administered Vaccine Doses on Covid-19 Spread . Fractals , 2022.
A. Mosavi – A. Mohamadzadeh – S. Rathinasamy – C. Zhang – U. Reuter – K. Levente – H. Adeli: Deep learning fuzzy immersion and invariance control for type-I diabetes . Computers in Biology and Medicine , zv. 149 , 2022.
M. Mousavi – M. Dehghan Manshadi – M. Soltani – F. M. Kashkooli – A. Rahmim – A. Mosavi – M. Kvasnica – P. M. Atkinson – L. Kovács – A. Koltay – N. Kiss – H. Adeli: Modeling the efficacy of different anti-angiogenic drugs on treatment of solid tumors using 3D computational modeling and machine learning . Computers in Biology and Medicine , zv. 146 , 2022.
A. H. Rabiee – F. Rafieian – A. Mosavi: Active vibration control of tandem square cylinders for three different phenomena: Vortex-induced vibration, galloping, and wake-induced vibration . Alexandria Engineering Journal , č. 12, zv. 61 , 2022.
A. M. Rahmani – S. Ali – M. H. Malik – E. Yousefpoor – M. S. Yousefpoor – A. Mosavi – F. khan – M. Hosseinzadeh: An energy‑aware and Q‑learning‑based area coverage for oil pipeline monitoring systems using sensors and Internet of Things . Scientific Reports , 2022.
S. S. Band – S. Addabili – A. S. Danesh – Z. Mansor – I. AlShourbaji – A. Mosavi: Colonial competitive evolutionary Rao algorithm for optimal engineering design . Alexandria Engineering Journal , č. 12, zv. 61 , 2022.
S. S. Band – S. Ardabili – M. SOOKHAK – A. T. CHRONOPOULOS – S. ELNAFFAR – M. MOSLEHPOUR – M. CSABA – B. TOROK – H. PAI – A. Mosavi: When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review . IEEE ACCESS , 2022.
G. Shahgholi – S. Ardabili – A. Shayei – I. Felde – A. Mosavi: Computational Analysis of the Effect of Balancer on the Vibration Performance of the Engine: Experimental and Simulation . Acta Polytechnica Hungarica , č. 4, zv. 19 , 2022.
H. Vo Thanh – M. Safaei-Farouji – N. Wei – S. S. Band – A. Mosavi: Knowledge-based rigorous machine learning techniques to predict the deliverability of underground natural gas storage sites for contributing to sustainable development goals . Energy Reports , zv. 8 , 2022.
K. Wanga – S. S. Band – R. Ameri – M. Biyari – T. Hai – C. Hsu – M. Hadjouni – H. Elmannai – K. Chau – A. Mosavi: Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow . Engineering Applications of Computational Fluid Mechanics , č. 1, zv. 16 , 2022.
M. Yaseliani – A. Zeinal Hamadani – A. Ijadi Maghsoodi – A. Mosavi: Pneumonia Detection Proposing a Hybrid Deep Convolutional Neural Network Based on Two Parallel Visual Geometry Group Architectures and Machine Learning Classifiers . IEEE ACCESS , č. 8, zv. 11 , 2022.
E. Yousefi – M. Barzegar Shiri – M. A. Rezaei – S. Rezaei – A. Mosavi: A novel long-term water absorption and thickness swelling deep learning forecast method for corn husk fiber-polypropylene composite . Case Studies in Construction Materials , č. 2, zv. 8 , 2022.
G. Zhang – S. Band – S. Ardabili – K. Chau – A. Mosavi: Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature . Engineering Applications of Computational Fluid Mechanics , č. 1, zv. 16 , str. 713–723, 2022.
G. Zhang – S. M. Bateni – C. Jun – H. Khoshkam – B. S. Shahab – A. Mosavi: Feasibility of Random Forest and Multivariate Adaptive Regression Splines for Predicting Long-Term Mean Monthly Dew Point Temperature . Frontiers in Environmental Science , zv. 10 , 2022.
G. Zhang – S. Davoodi – S. Band – H. Ghorbani – A. Mosavi – M. Moslehpour: A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques . Energy , č. 201, str. 2233–2247, 2022.
X. Zhang – X. Liu – X. Wang – S. S. Band – S. A. Bagherzadeh – S. Taherifar – A. Abdollahi – M. Bahrami – A. Karimipour – K. Chau – A. Mosavi: Energetic thermo-physical analysis of MLP-RBF feed-forward neural network compared with RLS Fuzzy to predict CuO/liquid paraffin mixture properties . Engineering Applications of Computational Fluid Mechanics , č. 1, zv. 16 , 2022.