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Online learning attributes on overall tourism and hospitality education learning satisfaction: Tourism Agenda 2030

Tourism review (Association internationale d'experts scientifiques du tourisme), 2023-04, Vol.78 (2), p.395-410

2023

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Comparative evaluation of deep learning and machine learning in modelling pan evaporation using limited inputs

Hydrological sciences journal, 2022-07, Vol.67 (9), p.1309-1327

2022

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Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge

Tourism review (Association internationale d'experts scientifiques du tourisme), 2020-09, Vol.75 (4), p.625-636

2020

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New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping

Hydrological sciences journal, 2020-12, Vol.65 (16), p.2816-2837

2020

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Auroral breakup detection in all-sky images by unsupervised learning

Annales geophysicae (1988), 2024-04, Vol.42 (1), p.103-115

2024

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Prediction of reference evapotranspiration for irrigation scheduling using machine learning

Hydrological sciences journal, 2020-12, Vol.65 (16), p.2669-2677

2020

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Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysis

Hydrological sciences journal, 2020-09, Vol.65 (12), p.2022-2042

2020

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Streamflow regionalisation of an ungauged catchment with machine learning approaches

Hydrological sciences journal, 2022-04, Vol.67 (6), p.886-897

2022

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Lessons from entrepreneurial failure through vicarious learning

Journal of small business and entrepreneurship, 2023-09, Vol.35 (5), p.762-786

2023

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Mobile Learning Among University Students: Adoption and Application of M-Learning

Acta medica Iranica, 2023-01, Vol.60 (11), p.699

2023

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Educational tourism and experiential learning: students’ perceptions of field trips

Tourism review (Association internationale d'experts scientifiques du tourisme), 2021-02, Vol.76 (1), p.241-254

2021

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Leak detection in real water distribution networks based on acoustic emission and machine learning

Environmental technology, 2023-11, Vol.44 (25), p.3850-3866

2023

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Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria)

Hydrological sciences journal, 2022-07, Vol.67 (9), p.1328-1341

2022

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New Graduates’ Experiences in Paediatric Private Practice: Learning to Make Intervention Decisions

Canadian journal of occupational therapy (1939), 2022-12, Vol.89 (4), p.395-405

2022

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Sourcing CHIRPS precipitation data for streamflow forecasting using intrinsic time-scale decomposition based machine learning models

Hydrological sciences journal, 2021-07, Vol.66 (9), p.1437-1456

2021

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Predicting reference evapotranspiration based on hydro-climatic variables: comparison of different machine learning models

Hydrological sciences journal, 2023-05, Vol.68 (7), p.1050-1063

2023

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Cessation time approach incorporating parametric and non-parametric machine-learning algorithms for recovery test data

Hydrological sciences journal, 2023-08, Vol.68 (11), p.1578-1590

2023

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Machine learning detection of dust impact signals observed by the Solar Orbiter

Annales geophysicae (1988), 2023-01, Vol.41 (1), p.69-86

2023

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P131 - Application de « Machine Learning » dans la détection du glaucome

Revue d'épidémiologie et de santé publique, 2023-05, Vol.71, p.101780, Article 101780

2023

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River sensing: the inclusion of red band in predicting reach-scale types using machine learning algorithms

Hydrological sciences journal, 2022-08, Vol.67 (11), p.1740-1754

2022

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Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization

Hydrological sciences journal, 2023-01, Vol.68 (1), p.16-33

2023

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Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning

Hydrological sciences journal, 2023-10, Vol.68 (14), p.1984-2008

2023

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Machine learning-based Decision Tree J48 with grey wolf optimizer for environmental pollution control

Environmental technology, 2023-05, Vol.44 (13), p.1973-1984

2023

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Resilient learning experiences of university students: Exploring positive future orientations

Journal of psychology in Africa, 2023-09, Vol.33 (5), p.463-468

2023

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Learning and studying during the pandemic: A comparison between students' learning and study strategy orientations before and during the COVID-19 period

Journal of psychology in Africa, 2022-09, Vol.32 (5), p.436-439

2022

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Online learning attributes on overall tourism and hospitality education learning satisfaction: Tourism Agenda 2030

Comparative evaluation of deep learning and machine learning in modelling pan evaporation using limited inputs

Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge

New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping

Auroral breakup detection in all-sky images by unsupervised learning

Prediction of reference evapotranspiration for irrigation scheduling using machine learning

Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysis

Streamflow regionalisation of an ungauged catchment with machine learning approaches

Lessons from entrepreneurial failure through vicarious learning

Mobile Learning Among University Students: Adoption and Application of M-Learning

Educational tourism and experiential learning: students’ perceptions of field trips

Leak detection in real water distribution networks based on acoustic emission and machine learning

Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria)

New Graduates’ Experiences in Paediatric Private Practice: Learning to Make Intervention Decisions

Sourcing CHIRPS precipitation data for streamflow forecasting using intrinsic time-scale decomposition based machine learning models

Predicting reference evapotranspiration based on hydro-climatic variables: comparison of different machine learning models

Cessation time approach incorporating parametric and non-parametric machine-learning algorithms for recovery test data

Machine learning detection of dust impact signals observed by the Solar Orbiter

P131 - Application de « Machine Learning » dans la détection du glaucome

River sensing: the inclusion of red band in predicting reach-scale types using machine learning algorithms

Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization

Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning

Machine learning-based Decision Tree J48 with grey wolf optimizer for environmental pollution control

Resilient learning experiences of university students: Exploring positive future orientations

Learning and studying during the pandemic: A comparison between students' learning and study strategy orientations before and during the COVID-19 period

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