Department: Department of Information Engineering and Process Control (DIEPC)
Room: NB 647
Phone: +421 259 325 349
Research activities: Statistical machine learning, explainable, ethical and robust AI, scalable
inference, probabilistic programming, and building an automatic
Article in journal
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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 10, 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, vol. 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, no. 8, vol. 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, no. 11, vol. 6, 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, no. 1, vol. 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, no. 1, vol. 16, 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, vol. 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, vol. 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, vol. 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, no. 1, vol. 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, no. 1, vol. 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, vol. 137, pp. 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, vol. 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, vol. 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, no. 12, vol. 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, no. 12, vol. 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, no. 4, vol. 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, vol. 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, no. 1, vol. 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, no. 8, vol. 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, no. 2, vol. 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, no. 1, vol. 16, pp. 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, vol. 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, no. 201, pp. 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, no. 1, vol. 16, 2022.