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Last 20 inserted publications

  1. M. Mojto – K. Ľubušký – M. FikarR. Paulen: Data-based Design of Inferential Sensors for an Industrial Depropanizer Column with Data Pre-treatment Analysis. Editor(s): Mário Mihaľ, In 48th International Conference of the Slovak Society of Chemical Engineering SSCHE 2022 and Membrane Conference PERMEA 2022, Slovak Society of Chemical Engineering, Bratislava, SK, pp. 200, 2022.
  2. M. FikarM. KlaučoK. Kiš: A General Controller Tuning using Governors. 2022.
  3. M. Dehghan Manshadi – N. Alafchi – A. Tat – M. Mousavi – A. Mosavi: Comparative Analysis of Machine Learning and Numerical Modeling for Combined Heat Transfer in Polymethylmethacrylate. Polymers, 2022.
  4. K. Almutairi – S. Algarni – T. Alqahtani – H. Moayedi – A. Mosavi: A TLBO-Tuned Neural Processor for Predicting Heating Load in Residential Buildings. Sustainability, no. 10, vol. 14, 2022.
  5. T. Das – S. – M. Waseem Naikoo – S. Talukdar – A. Parvez – A. Rahman – S. Pal – M. S. Asgher – A. R. M. Towfiqul Islam – A. Mosavi: Analysing Process and Probability of Built-Up Expansion Using Machine Learning and Fuzzy Logic in English Bazar, West Bengal. Remote Sensing, no. 10, vol. 14, 2022.
  6. A. Rahman – S. Abbas – M. Gollapalli – R. Ahmed – S. Aftab – M. Ahmad – M. Adnan Khan – A. Mosavi: Rainfall Prediction System Using Machine Learning Fusion for Smart Cities. Sensors, no. 9, vol. 22, 2022.
  7. M. Mousavi – M. Dehghan Manshadi – M. Soltani – F. M. Kashkooli – A. Rahmim – A. MosaviM. 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.
  8. A. R. M. Towfiqul Islam – S. Talukdar – S. Akhter – K. U. Eibek, Md. – M. Rahman – S. Pal – M. W. Naikoo – A. Rahman – A. Mosavi: Assessing the Impact of the Farakka Barrage on Hydrological Alteration in the Padma River with Future Insight. Sustainability, no. 9, vol. 14, 2022.
  9. J. OravecM. Klaučo: Real-time tunable approximated explicit MPC. Automatica, pp. 110315, 2022.
  10. R. Abrar – S. K. Sarkar – K. T. Nishtha – S. Talukdar – S. – A. Rahman – A. R. M. Towfiqul Islam – A. Mosavi: Assessing the Spatial Mapping of Heat Vulnerability under Urban Heat Island (UHI) Effect in the Dhaka Metropolitan Area (in Danish). Sustainability, no. 9, vol. 14, 2022.
  11. 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.
  12. 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.
  13. 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.
  14. M. Safaei-Farouji – S. Band – A. Mosavi: Oil Family Typing Using a Hybrid Model of Self-Organizing Maps and Artificial Neural Networks. ACS Omega, vol. 11, 2022.
  15. S. K. Sarkar – S. Bin Ansar – K. M. Mohiuddin Ekram – M. H. Khan – S. Talukdar – M. W. Naikoo – A. R. T. Islam – A. Rahman – A. Mosavi: Developing Robust Flood Susceptibility Model with Small Numbers of Parameters in Highly Fertile Regions of Northwest Bangladesh for Sustainable Flood and Agriculture Management. Sustainability, no. 7, vol. 14, 2022.
  16. 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.
  17. 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.
  18. S. Jamil – W. Farooq – N. Ullah – A. Daud Khan – U. K. K. – A. Mosavi: Large electromagnetic field enhancement in plasmonic nanoellipse for tunable spaser based applications. PLoS ONE, no. 3, vol. 17, 2022.
  19. 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.
  20. N. H. Sor – T. K. Mohammed Ali – K. S. Vali – H. U. Ahmed – R. H. Faraj – N. Bheel – A. Mosavi: The behavior of sustainable self-compacting concrete reinforced with low-density waste Polyethylene fiber. Materials Research Express, vol. 9, 2022.
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