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Using data-limited approaches to assess data-rich Indian Ocean bigeye tuna: Data quantity evaluation and critical information for management implications
The majority of fishery stocks in the world are data limited, which limits formal stock assessments. Identifying the impacts of input data on stock...
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Slope stabilization through groundwater management with limited hydrogeological data: a case study from Majes, southern Peru
Water table rise near a cliff may trigger a landslide due to the associated increase pore pressure and decrease in frictional resistance. One main...
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Estimating reference evapotranspiration for water-limited windy areas under data scarcity
Accurate estimation of reference evapotranspiration (ET o ) is a challenging task in windy regions with sparse data recording. This study aimed to...
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Utilizing Machine Learning Models with Limited Meteorological Data as Alternatives for the FAO-56PM Model in Estimating Reference Evapotranspiration
The current study evaluated the accuracy of four machine learning (ML) models and thirteen experimental methods calibrated to estimate reference...
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Slope-scale landslide susceptibility assessment based on coupled models of frequency ratio and multiple regression analysis with limited historical hazards data
Conducting a precise landslide susceptibility assessment at the slope scale is challenging due to complex parameters and limited historical hazards...
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A convection-permitting and limited-area model hindcast driven by ERA5 data: precipitation performances in Italy
This study describes the implementation and performances of a weather hindcast obtained by dynamically downscaling the ERA5 data across the period...
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Modeling daily reference evapotranspiration using SVR machine learning algorithm with limited meteorological data in Dar-el-Beidha, Algeria
Reference evapotranspiration ( ETo ) is a critical water resource management parameter, including irrigation scheduling and crop water requirements....
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Estimation of crop evapotranspiration using statistical and machine learning techniques with limited meteorological data: a case study in Udham Singh Nagar, India
Accurate forecasting of daily evapotranspiration (ET) is essential for enhancing real-time irrigation scheduling and informed decision-making in...
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A Practical Recipe to Reconstruct Fluid Composition from Limited Sample or Data
Reservoir fluid composition is essential in simulation studies, evaluating reserves, enhanced oil recovery (EOR) processes, production, and flow...
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Performance evaluation of machine learning and statistical techniques for modelling landslide susceptibility with limited field data
Due to the unique blend of physiography, climate, and socio-economic factors, the windward slopes of the southern Western Ghats (WG) are highly...
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Prediction of reference evapotranspiration in northwestern Africa with limited data using factorial and SVM regressions
Accurate estimating of reference evapotranspiration (ETo) is of great importance for achieving irrigation scheduling and water management studies. In...
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Intelligent regional subsurface prediction based on limited borehole data and interpretability stacking technique of ensemble learning
This study introduces an intelligent method for regional subsurface prediction using a Stacking ensemble learning approach, which incorporates...
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Performances of Different Machine Learning Algorithms for Predicting Saltwater Intrusion in the Vietnamese Mekong Delta Using Limited Input Data: A Study from Ham Luong River
AbstractAccurate forecasting of salinity intrusion has a vital role in water resource management to mitigate and prevent its adverse effects....
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Slope reliability analysis through Bayesian sequential updating integrating limited data from multiple estimation methods
Accurate estimation of slope stability based on numerous candidate estimation methods is difficult as different results may be yielded. It becomes...
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Gravity field modeling in mountainous areas based on band-limited SRBFs
In this study, a novel two-scale spherical radial basis function (SRBF) modeling method is proposed for regional gravity field determination. First,...
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Trends, sensitivity and estimation of daily reference evapotranspiration ET0 using limited climate data: regional focus on Burkina Faso in the West African Sahel
The precise estimation of reference evapotranspiration (ETo) is critical for water planning in agriculture. However, with the scarcity of data in...
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Application of re-sampling stochastic framework for rock slopes support design with limited investigation data: slope case studies along an Indian highway
Rock slope projects are often available with insufficient investigation data for rock properties due to involvement of high costs, manual efforts,...
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Random Forest and Multilayer Perceptron hybrid models integrated with the genetic algorithm for predicting pan evaporation of target site using a limited set of neighboring reference station data
This study explores the application of machine learning algorithms for the prediction of pan evaporation (Ep), which is a critical factor in water...
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Spatio-temporal variations of reference evapotranspiration using Innovative and Mann–Kendall trend analysis under limited weather data in semi-arid region of Indian Punjab
The trend detection in hydro-climatological series is a prime priority in the context of changing climate. Evapotranspiration is a crucial component...
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Design of Extreme Limited Entry Perforation
In recent years, multi-stage hydraulic fracturing for shale oil reservoirs is develo** toward a shorter cluster spacing and a larger number of...