Artiklar med krav på offentlig åtkomst - Nadhir Al-AnsariLäs mer
Tillgängliga någonstans: 20
Estimation of SPEI meteorological drought using machine learning algorithms
A Mokhtar, M Jalali, H He, N Al-Ansari, A Elbeltagi, K Alsafadi, HG Abdo, ...
IEEe Access 9, 65503-65523, 2021
Krav: Chinese Academy of Sciences, National Natural Science Foundation of China
Global solar radiation prediction over North Dakota using air temperature: development of novel hybrid intelligence model
H Tao, AA Ewees, AO Al-Sulttani, U Beyaztas, MM Hameed, SQ Salih, ...
Energy Reports 7, 136-157, 2021
Krav: National Natural Science Foundation of China
Training and testing data division influence on hybrid machine learning model process: application of river flow forecasting
H Tao, AO Al-Sulttani, AM Salih Ameen, ZH Ali, N Al-Ansari, SQ Salih, ...
Complexity 2020 (1), 8844367, 2020
Krav: National Natural Science Foundation of China
An integrated statistical-machine learning approach for runoff prediction
AK Singh, P Kumar, R Ali, N Al-Ansari, DK Vishwakarma, KS Kushwaha, ...
Sustainability 14 (13), 8209, 2022
Krav: Fundação para a Ciência e a Tecnologia, Portugal
Data-driven models for predicting solar radiation in semi-arid regions
M Jamei, N Bailek, K Bouchouicha, MA Hassan, A Elbeltagi, A Kuriqi, ...
Computers, Materials and Continua 74 (1), 1625-1640, 2023
Krav: Fundação para a Ciência e a Tecnologia, Portugal
Metaheuristic optimization algorithms hybridized with artificial intelligence model for soil temperature prediction: Novel model
L Penghui, AA Ewees, BH Beyaztas, C Qi, SQ Salih, N Al-Ansari, ...
IEEE Access 8, 51884-51904, 2020
Krav: National Natural Science Foundation of China
A newly developed integrative bio-inspired artificial intelligence model for wind speed prediction
H Tao, SQ Salih, MK Saggi, E Dodangeh, C Voyant, N Al-Ansari, ...
IEEE Access 8, 83347-83358, 2020
Krav: National Natural Science Foundation of China
Assessment of climate change impact on snowmelt runoff in Himalayan region
R Kumar, S Manzoor, DK Vishwakarma, N Al-Ansari, NL Kushwaha, ...
Sustainability 14 (3), 1150, 2022
Krav: Fundação para a Ciência e a Tecnologia, Portugal
Energy analysis using carbon and metallic oxides-based nanomaterials inside a solar collector
S Liu, HA Afan, MS Aldlemy, N Al-Ansari, ZM Yaseen
Energy Reports 6, 1373-1381, 2020
Krav: National Natural Science Foundation of China
Machine learning algorithms for high-resolution prediction of spatiotemporal distribution of air pollution from meteorological and soil parameters
H Tao, AH Jawad, AH Shather, Z Al-Khafaji, TA Rashid, M Ali, N Al-Ansari, ...
Environment International 175, 107931, 2023
Krav: National Natural Science Foundation of China
Comprehensive genomic analysis of Bacillus paralicheniformis strain BP9, pan-genomic and genetic basis of biocontrol mechanism
M Asif, Z Li-Qun, Q Zeng, M Atiq, K Ahmad, A Tariq, N Al-Ansari, J Blom, ...
Computational and Structural Biotechnology Journal 21, 4647-4662, 2023
Krav: National Natural Science Foundation of China, Federal Ministry of Education …
Interactive effects of long-term management of crop residue and phosphorus fertilization on wheat productivity and soil health in the rice–wheat
RK Gupta, PK Sraw, JS Kang, J Kaur, V Sharma, N Pathania, A Kalia, ...
Scientific Reports 14 (1), 1399, 2024
Krav: Department of Biotechnology, India
Field screening of wheat cultivars for enhanced growth, yield, yield attributes, and nitrogen use efficiencies
S Gawdiya, D Kumar, YS Shivay, B Kour, R Kumar, S Meena, R Saini, ...
Agronomy 13 (8), 2011, 2023
Krav: Indian Council of Agricultural Research
Application of machine learning technique for rainfall-runoff modelling of highly dynamic watersheds
AK Singh, P Kumar, R Ali, N Al-Ansari, DK Vishwakarma, KS Kushwaha, ...
Preprints, 2022
Krav: Fundação para a Ciência e a Tecnologia, Portugal
PAU Smart Seeder: a novel way forward for rice residue management in North-west India
AT Chaleka, R Goyal, N Gupta, A Singh, M Singh, S Sharma, AK Dixit, ...
Scientific Reports 14 (1), 11747, 2024
Krav: Department of Science & Technology, India
Erratum to “Rock Fragmentation Classification Applying Machine Learning Approaches”[Engineering, 15 (2023) 378-395]
S Liaghat, N Al Ansari
Engineering 17 (1), 1-18, 2025
Krav: Forskningsrådet Formas, Vinnova, Sweden
Altering Natural Ecosystems Causes Negative Consequences on the Soil Physical Qualities: An Evidence-Based Study from Nilgiri Hill Region of Western Ghats, India
M Jagadesh, D Selvi, S Thiyageshwari, C Srinivasarao, P Raja, ...
Land 12 (10), 1869, 2023
Krav: Department of Science & Technology, India
3-D density structure of the upper-mantle in the eastern Mediterranean Sea and surrounding region using gravity inversion constrained by seismic velocity model
F Harash, C Chen, L Qing, C Tu, AA Nadhir, A Khalaf, I ALrawi, ...
Tectonophysics 860, 229906, 2023
Krav: National Natural Science Foundation of China
Local Moho distribution in the eastern Mediterranean region from gravity inversion: eastern Mediterranean Sea
F Harash, A Khalaf, N Al-Ansari, C Chen, I Alrawi, H Al-Khafaji, ...
Frontiers in Earth Science 11, 1195485, 2023
Krav: National Natural Science Foundation of China
corrected Proof
M Luqman, MUF Awan, S Muhammad, S Daud, A Yousafzai, F Aroojaa
Krav: National Natural Science Foundation of China
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