Nabinjyoti Behera

@nafvna.com

Department Of Neuroscience, HOD
NAFVNA DOMINION

Founder Of NAFVNA Dominion

RESEARCH, TEACHING, or OTHER INTERESTS

Biochemistry, Cell Biology, Clinical Biochemistry, Molecular Medicine
514

Scholar Citations

12

Scholar h-index

14

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Advancement in forecasting rainfall-runoff process: application of a novel hybrid FMD-SVR-ABC modeling technique
    R Ghasemlounia, A Gharehbaghi, F Ahmadi
    Acta Geophysica 74 (3), 149 , 2026
    2026
  • Application of Hybrid Meta-Heuristic-Based Data‑Driven Models to Forecast Streamflow Drought Index
    R Ghasemlounia, A Gharehbaghi, F Ahmadi
    Water Resources Management 40 (7), 293 , 2026
    2026
  • Application of Novel Hybrid SVMD–NARX–ACO Model for Precise Predicting Monthly Pan Evaporation
    A Foroudi, S Daneshvar, R Ghasemlounia, A Gharehbaghi, AH Haghiabi, ...
    Arabian Journal for Science and Engineering, 1-19 , 2026
    2026
  • Design and Analysis of a Double Composite Truss Girder for Long Span Bridges Using Perfobond Leiste
    JJ Saleem, R Ghasemlounia, HH Muteb
    Engineering, Technology & Applied Science Research 15 (4), 24370-24381 , 2025
    2025
  • A Comparative Study on Novel Hybrid Approaches Based on CEEMDAN, Random Forest, Deep Learning Methods for Predicting Daily Wind Speed
    A Gharehbaghi, R Ghasemlounia, F Ahmadi, R Mirabbasi, ...
    Earth Systems and Environment, 1-16 , 2025
    2025
    Citations: 2
  • Correction: Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow
    A Gharehbaghi, R Ghasemlounia, F Ahmadi, R Mirabbasi, ...
    Scientific Reports 15 (1), 25751 , 2025
    2025
  • Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow
    A Gharehbaghi, R Ghasemlounia, S Daneshvar, F Ahmadi
    Applied Water Science 15 (7), 174 , 2025
    2025
    Citations: 3
  • Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow
    A Gharehbaghi, R Ghasemlounia, F Ahmadi, R Mirabbasi, ...
    Scientific Reports 15 (1), 19436 , 2025
    2025
    Citations: 6
  • Analyzing traffic accident trends and correlations in Iraq: An investigative statistical approach
    DK Hassooni, R Ghasemlounia, MM Hilal, ZH Al-Saffar, GT Mohammed
    AIP Conference Proceedings 3303 (1), 040002 , 2025
    2025
    Citations: 1
  • Emergency action plan for Haditha dam failure scenario, Al-Anbar, Iraq
    Y Hamid, R Ghasemlounia, T Mohammed, A Al-Ansi
    Future Technology 4 (2), 1-10 , 2025
    2025
  • Assessment of water quality in Kirkuk city: Using geographic information systems and multi-linear regression analysis
    SK Noori, IJ Naser, R Ghasemlounia, MO Ibrahim, AM Raheem, ...
    2025
  • Development of deep learning approaches for drought forecasting: a comparative study in a cold and semi-arid region
    A Gharehbaghi, R Ghasemlounia, B Vaheddoost, F Ahmadi
    Earth Science Informatics 18 (1), 78 , 2025
    2025
    Citations: 13
  • Developing a novel hybrid model based on deep neural networks and discrete wavelet transform algorithm for prediction of daily air temperature
    R Ghasemlounia, A Gharehbaghi, F Ahmadi, M Albaji
    Air Quality, Atmosphere & Health 17 (11), 2723-2737 , 2024
    2024
    Citations: 9
  • Novel hybrid intelligence predictive model based on successive variational mode decomposition algorithm for monthly runoff series
    A Parsaie, R Ghasemlounia, A Gharehbaghi, AH Haghiabi, AA Chadee, ...
    Journal of Hydrology 634, 131041 , 2024
    2024
    Citations: 49
  • Machine learning approaches coupled with variational mode decomposition: a novel method for forecasting monthly reservoir inflows
    F Ahmadi, R Ghasemlounia, A Gharehbaghi
    Earth Science Informatics 17 (1), 745-760 , 2024
    2024
    Citations: 10
  • Studying the Effect of Water Resources Management on the Floods and Droughts in Lower and Middle Shabelle Regions, Somalia
    AA Abdullahi, B Vaheddoost, R Ghasemlounia
    2024
  • Developing a fuzzy inference model for construction project risk management in Iraq
    GH Al-Momen, R Ghasemlounia
    Journal of Techniques 5 (3), 1-14 , 2023
    2023
    Citations: 4
  • Closure to “Application of AI Approaches to Estimate Discharge Coefficient of Novel Kind of Sharp-Crested V-Notch Weirs”
    A Gharehbaghi, R Ghasemlounia
    Journal of Irrigation and Drainage Engineering 149 (7), 07023014 , 2023
    2023
  • A comparison of artificial intelligence approaches in predicting discharge coefficient of streamlined weirs
    A Gharehbaghi, R Ghasemlounia, E Afaridegan, AH Haghiabi, V Mandala, ...
    Journal of Hydroinformatics 25 (4), 1513-1530 , 2023
    2023
    Citations: 43
  • Site suitability in water harvesting management using remote sensing data and GIS techniques: A case study of Sulaymaniyah Province, Iraq
    S Noori, R Ghasemlounia, AM Noori
    Climate change, agriculture and society: Approaches toward sustainability … , 2023
    2023
    Citations: 14

MOST CITED SCHOLAR PUBLICATIONS

  • Groundwater level prediction with meteorologically sensitive Gated Recurrent Unit (GRU) neural networks
    A Gharehbaghi, R Ghasemlounia, F Ahmadi, M Albaji
    Journal of Hydrology 612, 128262 , 2022
    2022
    Citations: 95
  • Developing a novel framework for forecasting groundwater level fluctuations using Bi-directional Long Short-Term Memory (BiLSTM) deep neural network
    R Ghasemlounia, A Gharehbaghi, F Ahmadi, ...
    Computers and Electronics in Agriculture 191, 106568 , 2021
    2021
    Citations: 83
  • Flood prioritization of basins based on geomorphometric properties using principal component analysis, morphometric analysis and Redvan’s priority methods: A case study of …
    R Ghasemlounia, M Utlu
    Journal of Hydrology 603, 127061 , 2021
    2021
    Citations: 57
  • Novel hybrid intelligence predictive model based on successive variational mode decomposition algorithm for monthly runoff series
    A Parsaie, R Ghasemlounia, A Gharehbaghi, AH Haghiabi, AA Chadee, ...
    Journal of Hydrology 634, 131041 , 2024
    2024
    Citations: 49
  • A comparison of artificial intelligence approaches in predicting discharge coefficient of streamlined weirs
    A Gharehbaghi, R Ghasemlounia, E Afaridegan, AH Haghiabi, V Mandala, ...
    Journal of Hydroinformatics 25 (4), 1513-1530 , 2023
    2023
    Citations: 43
  • Study on groundwater quality using geographic information system (GIS), case study: Ardabil, Iran
    R Ghasemlounia, NS Herfeh
    Civil Eng J 3 (9), 779-93 , 2017
    2017
    Citations: 21
  • Flood prioritization watersheds of the Aras River, based on geomorphometric properties: Case study Iğdır Province
    M Utlu, R Ghasemlouni̇a
    Jeomorfolojik Araştırmalar Dergisi, 21-40 , 2021
    2021
    Citations: 20
  • Application of AI approaches to estimate discharge coefficient of novel kind of sharp-crested V-notch weirs
    A Gharehbaghi, R Ghasemlounia
    Journal of Irrigation and Drainage Engineering 148 (3), 04022001 , 2022
    2022
    Citations: 19
  • Site suitability in water harvesting management using remote sensing data and GIS techniques: A case study of Sulaymaniyah Province, Iraq
    S Noori, R Ghasemlounia, AM Noori
    Climate change, agriculture and society: Approaches toward sustainability … , 2023
    2023
    Citations: 14
  • Development of deep learning approaches for drought forecasting: a comparative study in a cold and semi-arid region
    A Gharehbaghi, R Ghasemlounia, B Vaheddoost, F Ahmadi
    Earth Science Informatics 18 (1), 78 , 2025
    2025
    Citations: 13
  • Effects of construction materials to achieve sustainable buildings
    MI Altuma, R Ghasemlounia
    Available at SSRN 3781422 , 2021
    2021
    Citations: 13
  • Total quality management benefits and barriers in construction industry
    RAA Salihi, R Ghasemlounia
    Available at SSRN 3799849 , 2021
    2021
    Citations: 12
  • Machine learning approaches coupled with variational mode decomposition: a novel method for forecasting monthly reservoir inflows
    F Ahmadi, R Ghasemlounia, A Gharehbaghi
    Earth Science Informatics 17 (1), 745-760 , 2024
    2024
    Citations: 10
  • Flood prioritization watersheds of the Aras River, based on geomorphometric properties: Case study Iğdır province. Jeomorfolojik Araştırmalar Dergisi (6), 21-40
    M Utlu, R Ghasemlounia
    2021
    Citations: 10
  • Developing a novel hybrid model based on deep neural networks and discrete wavelet transform algorithm for prediction of daily air temperature
    R Ghasemlounia, A Gharehbaghi, F Ahmadi, M Albaji
    Air Quality, Atmosphere & Health 17 (11), 2723-2737 , 2024
    2024
    Citations: 9
  • Application of data-driven models to predict the dimensions of flow separation zone
    A Gharehbaghi, R Ghasemlounia, SD Latif, AH Haghiabi, A Parsaie
    Environmental Science and Pollution Research 30 (24), 65572-65586 , 2023
    2023
    Citations: 9
  • Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow
    A Gharehbaghi, R Ghasemlounia, F Ahmadi, R Mirabbasi, ...
    Scientific Reports 15 (1), 19436 , 2025
    2025
    Citations: 6
  • Reasons for delaying the constriction projects in Iraq
    AA Alsaadi, R Ghasemlounia
    International Journal of Engineering and Management Research 11 , 2021
    2021
    Citations: 5
  • Developing a fuzzy inference model for construction project risk management in Iraq
    GH Al-Momen, R Ghasemlounia
    Journal of Techniques 5 (3), 1-14 , 2023
    2023
    Citations: 4
  • Uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways
    R Ghasemlounia, SM Saghebian
    Water Supply 21 (5), 2333-2346 , 2021
    2021
    Citations: 4