Search Results - "Abdullahi,Jazuli"

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  1. 1

    Impact of climate change on hydro-climatological parameters in North Cyprus: application of artificial intelligence-based statistical downscaling models by Elkiran, Gozen, Nourani, Vahid, Elvis, Ogodor, Abdullahi, Jazuli

    Published in Journal of hydroinformatics (01-11-2021)
    “…There are many environmental challenges in water-limited places in the 21st century, particularly in dry and semi-arid regions, due to the threat of climate…”
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    Journal Article
  2. 2

    Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration by Abba, S.I., Linh, Nguyen Thi Thuy, Abdullahi, Jazuli, Ali, Shaban Ismael Albrka, Pham, Quoc Bao, Abdulkadir, Rabiu Aliyu, Costache, Romulus, Van Nam, Thai, Anh, Duong Tran

    Published in IEEE access (01-01-2020)
    “…The reliable prediction of dissolved oxygen concentration (DO) is significantly crucial for protecting the health of the aquatic ecosystem. The current…”
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    Journal Article
  3. 3

    Assessment of Climate Change Impact on Precipitation Using Machine Learning Based Statistical Downscaling Method by Abdullahi, Jazuli, Tahsin, Ala, Yesilnacar, Mehmet Irfan, Karabulut, Abdullah İzzeddin, Daramola, Oluwatoyin

    Published in E3S web of conferences (01-01-2024)
    “…Future predictions of precipitation are highly important for effective water resources management. The Global circulation models (GCMs) are commonly used to…”
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    Journal Article
  4. 4

    Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements by Nourani, Vahid, Elkiran, Gozen, Abdullahi, Jazuli

    Published in Journal of hydrology (Amsterdam) (01-10-2019)
    “…•AI based and well-known empirical models applied for ET0 estimation.•Data from 10 stations were used to evaluate climate effects on results.•To enhance…”
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    Journal Article
  5. 5

    Multi-step ahead modeling of reference evapotranspiration using a multi-model approach by Nourani, Vahid, Elkiran, Gozen, Abdullahi, Jazuli

    Published in Journal of hydrology (Amsterdam) (01-02-2020)
    “…•AI models used for single and multi-step ahead predictions of ET0.•3 ensemble methods applied on the outputs of AI.•Data from ten stations from several…”
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    Journal Article
  6. 6

    Multi-region machine learning-based novel ensemble approaches for predicting COVID-19 pandemic in Africa by Ibrahim, Zurki, Tulay, Pinar, Abdullahi, Jazuli

    “…Coronavirus disease 2019 (COVID-19) has produced a global pandemic, which has devastating effects on health, economy and social interactions. Despite the less…”
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    Journal Article
  7. 7

    Multi-region Modeling of Daily Global Solar Radiation with Artificial Intelligence Ensemble by Nourani, Vahid, Elkiran, Gozen, Abdullahi, Jazuli, Tahsin, Ala

    “…Solar radiation data are crucial for the design and evaluation of solar energy systems, climatic studies, water resources management, estimating crop…”
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    Journal Article
  8. 8

    Reference Evapotranspiration Modeling Using Heuristic Computing Model in Distinct Climate Stations by Ala Tahsin, Jazuli Abdullahi

    “…Reference evapotranspiration (ET0) plays important roles in environmental, hydrological and agricultural studies and its accurate prediction is significant in…”
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    Journal Article
  9. 9

    Data-Driven Techniques for Monthly Pan Evaporation Modeling in Iraq by Jazuli Abdullahi, Ala Tahsin

    “…Evaporation plays significant roles in agricultural production, climate change and water resources management. Hence, its accurate prediction is of paramount…”
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    Journal Article
  10. 10

    Linear and non-linear ensemble concepts for pan evaporation modeling by Abdullahi, Jazuli, Elkiran, Gözen, Aslanova, Fidan, Orhon, Derin

    Published in Desalination and water treatment (01-05-2023)
    “…Modeling of pan evaporation (Ep) is of paramount importance in the evaluation of drinking water supplies, planning of regional water resources and reservoir…”
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    Journal Article
  11. 11

    New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia by Manzar, Mohammad Saood, Benaafi, Mohammed, Costache, Romulus, Alagha, Omar, Mu'azu, Nuhu Dalhat, Zubair, Mukarram, Abdullahi, Jazuli, Abba, S.I.

    Published in Ecological informatics (01-09-2022)
    “…Ensuring availability in terms of quality and quantity and sustainable management of safe, affordable drinking water is one of the integral parts of…”
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    Journal Article
  12. 12

    A novel approach for precipitation modeling using artificial intelligence-based ensemble models by Abdullahi, Jazuli, Rufai, Imran, Rimtip, Nanna Nanven, Orhon, Derin, Aslanova, Fidan, Elkiran, Gozen

    Published in Desalination and water treatment (01-01-2024)
    “…Precipitation is the primary component of the hydrologic water cycle and its accurate prediction plays a significant role for the planning, management and…”
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    Journal Article
  13. 13
  14. 14

    Application of modified drastic model for oil spills pollution affecting water quality system in part of Niger delta region of Nigeria by Aminu Umar, Hafiz, Faisal Abdul Khanan, Mohd, Sanusi Shiru, Mohammed, Shehu Ahmed, Murtala, Abdullahi, Jazuli, Ajeni Obute, Michael, Ahmad, Anuar

    Published in Journal of hydrology (Amsterdam) (01-06-2024)
    “…•Geographic information system has been used to Prepare a groundwater vulnerability map of the study area using DRASTIC Model.•The impact of pipeline…”
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    Journal Article
  15. 15

    Application of artificial intelligence based and multiple regression techniques for monthly precipitation modeling in coastal and inland stations by Abdullahi, Jazuli, Iravanian, Anoosheh, Nourani, Vahid, Elkiran, Gozen

    Published in Desalination and water treatment (01-02-2020)
    “…The aim of this study was to apply artificial intelligence (AI) based and linear conventional techniques for monthly precipitation modeling in Famagusta (a…”
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    Journal Article
  16. 16

    Spatiotemporal prediction of reference evapotranspiration in Araban Region, Türkiye: A machine learning based approach by Tahsin,Ala, Abdullahi,Jazuli, Karabulut,Abdullah İzzeddin, Yeşilnacar,Mehmet İrfan

    Published in Advanced Remote Sensing Journal (ARSEJ) (01-06-2023)
    “…Accurate prediction of reference evapotranspiration (ET0) is crucial for climate change mitigation, water resources management, and agricultural activities…”
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    Journal Article
  17. 17

    Multi-state comparison of machine learning techniques in modelling reference evapotranspiration: A case study of Northeastern Nigeria by Tahsin, Ala, Abdullahi, Jazuli, Rotimi, Abdulazeez, Anwar, Faiz Habib, Malami, Salim Idris, Abba, S.I.

    “…Monthly reference evapotranspiration (ET 0 ) was predicted for Bauchi and Maiduguri stations located in the northeastern semiarid region of Nigeria. The data…”
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    Conference Proceeding
  18. 18
  19. 19

    Compatibility of Hybrid Neuro-Fuzzy Model to Predict Reference Evapotranspiration in Distinct Climate Stations by Abdullahi, Jazuli, Elkiran, Gozen, Malami, Salim Idris, Rotimi, Abdulazeez, Haruna, S. I., Abba, S. I.

    “…The aim of this study is to model Reference Evapotranspiration (ET0) in Nigeria and Cyprus with Maiduguri and Larnaca as a case study region. Adaptive Neuro…”
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    Conference Proceeding