Search Results - "Malik, Anurag"

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  1. 1

    Spatio-temporal trend analysis of rainfall using parametric and non-parametric tests: case study in Uttarakhand, India by Malik, Anurag, Kumar, Anil

    Published in Theoretical and applied climatology (01-04-2020)
    “…This study investigates the spatial and temporal patterns of trends and magnitude of rainfall on monthly, seasonal and annual time scales of 13 districts of…”
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    Journal Article
  2. 2

    Meteorological drought prediction using heuristic approaches based on effective drought index: a case study in Uttarakhand by Malik, Anurag, Kumar, Anil

    Published in Arabian journal of geosciences (01-03-2020)
    “…Monitoring and prediction of drought using standardized metrics of rainfall are of great importance for sustainable planning and management of water resources…”
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    Journal Article
  3. 3

    Modeling long-term dynamics of crop evapotranspiration using deep learning in a semi-arid environment by Elbeltagi, Ahmed, Deng, Jinsong, Wang, Ke, Malik, Anurag, Maroufpoor, Saman

    Published in Agricultural water management (01-11-2020)
    “…[Display omitted] •Modeling long term evapotranspiration of wheat based on limited meteorological data.•Future ETc will increase by 11.31 % and 1.38 % in Kafr…”
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    Journal Article
  4. 4

    Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration by Tikhamarine, Yazid, Malik, Anurag, Souag-Gamane, Doudja, Kisi, Ozgur

    “…Accurate estimation of reference evapotranspiration (ET o ) is profoundly crucial in crop modeling, sustainable management, hydrological water simulation, and…”
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  5. 5

    Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches by Tikhamarine, Yazid, Malik, Anurag, Kumar, Anil, Souag-Gamane, Doudja, Kisi, Ozgur

    Published in Hydrological sciences journal (18-11-2019)
    “…In this research, five hybrid novel machine learning approaches, artificial neural network (ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer…”
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  6. 6

    Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction by Malik, Anurag, Tikhamarine, Yazid, Souag-Gamane, Doudja, Kisi, Ozgur, Pham, Quoc Bao

    “…Accurate and reliable prediction of streamflow is vital to the optimization of water resources management, reservoir flood operations, catchment, and urban…”
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  7. 7

    Monthly pan-evaporation estimation in Indian central Himalayas using different heuristic approaches and climate based models by Malik, Anurag, Kumar, Anil, Kisi, Ozgur

    Published in Computers and electronics in agriculture (01-12-2017)
    “…•MLPNN, CANFIS, RBNN and SOMNN are utilized to estimate pan-evaporation.•The combination of appropriate input variables was decided using Gamma test.•The…”
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  8. 8

    Application of standardized precipitation index for monitoring meteorological drought and wet conditions in Garhwal region (Uttarakhand) by Malik, Anurag, Kumar, Anil

    Published in Arabian journal of geosciences (01-05-2021)
    “…Drought is one of the most important environmental problems affecting the planet. The identification, characterization, and monitoring of droughts are of great…”
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    Journal Article
  9. 9

    Pan Evaporation Simulation Based on Daily Meteorological Data Using Soft Computing Techniques and Multiple Linear Regression by Malik, Anurag, Kumar, Anil

    Published in Water resources management (01-04-2015)
    “…Evaporation, a major component of hydrologic cycle, is an important parameter to many applications in water resource management, irrigation scheduling, and…”
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  10. 10

    Development of a new wavelet-based hybrid model to forecast multi-scalar SPEI drought index (case study: Zanjan city, Iran) by Karbasi, Masoud, Karbasi, Maryam, Jamei, Mehdi, Malik, Anurag, Azamathulla, Hazi Mohammad

    “…Drought forecasting plays a vital role in managing drought and reducing its effects on agricultural systems and water resources. In the present study, three…”
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  11. 11

    Support vector regression integrated with novel meta-heuristic algorithms for meteorological drought prediction by Malik, Anurag, Tikhamarine, Yazid, Souag-Gamane, Doudja, Rai, Priya, Sammen, Saad Shauket, Kisi, Ozgur

    Published in Meteorology and atmospheric physics (01-06-2021)
    “…Drought is a complex natural phenomenon, so, precise prediction of drought is an effective mitigation tool for measuring the negative consequences on…”
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  12. 12

    Analysis of dry and wet climate characteristics at Uttarakhand (India) using effective drought index by Malik, Anurag, Kumar, Anil, Kisi, Ozgur, Khan, Najeebullah, Salih, Sinan Q., Yaseen, Zaher Mundher

    Published in Natural hazards (Dordrecht) (2021)
    “…Drought is a complex natural disaster that adversely affects human life and the ecosystem. A variety of drought indexes are available for monitoring…”
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    Journal Article
  13. 13

    Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh by Jamei, Mehdi, Karbasi, Masoud, Malik, Anurag, Abualigah, Laith, Islam, Abu Reza Md Towfiqul, Yaseen, Zaher Mundher

    Published in Scientific reports (01-07-2022)
    “…The rising salinity trend in the country’s coastal groundwater has reached an alarming rate due to unplanned use of groundwater in agriculture and seawater…”
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  14. 14

    Monthly evapotranspiration estimation using optimal climatic parameters: efficacy of hybrid support vector regression integrated with whale optimization algorithm by Tikhamarine, Yazid, Malik, Anurag, Pandey, Kusum, Sammen, Saad Shauket, Souag-Gamane, Doudja, Heddam, Salim, Kisi, Ozgur

    Published in Environmental monitoring and assessment (01-11-2020)
    “…For effective planning of irrigation scheduling, water budgeting, crop simulation, and water resources management, the accurate estimation of reference…”
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  15. 15

    Drought index prediction using advanced fuzzy logic model: Regional case study over Kumaon in India by Malik, Anurag, Kumar, Anil, Salih, Sinan Q, Kim, Sungwon, Kim, Nam Won, Yaseen, Zaher Mundher, Singh, Vijay P

    Published in PloS one (21-05-2020)
    “…A new version of the fuzzy logic model, called the co-active neuro fuzzy inference system (CANFIS), is introduced for predicting standardized precipitation…”
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  16. 16

    Lake water level modeling using newly developed hybrid data intelligence model by Yaseen, Zaher Mundher, Naghshara, Shabnam, Salih, Sinan Q., Kim, Sungwon, Malik, Anurag, Ghorbani, Mohammad Ali

    Published in Theoretical and applied climatology (01-08-2020)
    “…The forecasting of lake water level is one of the complex problems in the hydrology field owing to the incorporating with various hydrological and…”
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  17. 17

    Identification and Detection of Bioactive Peptides in Milk and Dairy Products: Remarks about Agro-Foods by Punia, Himani, Tokas, Jayanti, Malik, Anurag, Sangwan, Sonali, Baloda, Satpal, Singh, Nirmal, Singh, Satpal, Bhuker, Axay, Singh, Pradeep, Yashveer, Shikha, Agarwal, Subodh, Mor, Virender S

    Published in Molecules (Basel, Switzerland) (22-07-2020)
    “…Food-based components represent major sources of functional bioactive compounds. Milk is a rich source of multiple bioactive peptides that not only help to…”
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  18. 18

    Ascorbate-Glutathione Oxidant Scavengers, Metabolome Analysis and Adaptation Mechanisms of Ion Exclusion in Sorghum under Salt Stress by Punia, Himani, Tokas, Jayanti, Malik, Anurag, Bajguz, Andrzej, El-Sheikh, Mohamed A, Ahmad, Parvaiz

    “…Salt stress is one of the major significant restrictions that hamper plant development and agriculture ecosystems worldwide. Novel climate-adapted cultivars…”
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  19. 19

    Prediction of Multi-Scalar Standardized Precipitation Index by Using Artificial Intelligence and Regression Models by Anurag Malik, Anil Kumar, Priya Rai, Alban Kuriqi

    Published in Climate (Basel) (01-02-2021)
    “…Accurate monitoring and forecasting of drought are crucial. They play a vital role in the optimal functioning of irrigation systems, risk management, drought…”
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  20. 20

    Nano-enhanced storage of American cotton using metal-oxide nanoparticles for improving seed quality traits by Singh, Nirmal, Bhuker, Axay, Pandey, Vineeta, Punia, Himani, Sourabh, Singh, Bhupender, Ahmad, Ajaz, Tyagi, Anshika, Malik, Anurag

    Published in Scientific reports (18-10-2024)
    “…Cotton seeds have poorer germination than other crops because of their high sensitivity towards insect pests and other biotic and abiotic stresses during the…”
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