Machine learning and deep have demonstrated usefulness in modelling various groundwater phenomena. However, these techniques require large amounts of data to develop reliable models. In the Southern African Development Community, datasets are generally poorly developed. Hence, question arises as whether machine can be a tool support management data-scarce environments Africa. This study tests t...

Abstract Considering the recent significant drop in groundwater level (GWL) most of world regions, importance an accurate method to estimate GWL (in order obtain a better insight into conditions) has been emphasized by researchers. In this study, artificial neural network (ANN) and support vector regression (SVR) models were initially employed model Aspas aquifer. Secondly, improve accuracy mod...

One of the most challenging problems in wireless sensor networks is the design of scalable and efficient routing algorithms without location information. The use of specialized hardware and/or infrastructure support for localization is costly and in many deployment scenarios infeasible. In this study, the wave mapping coordinate (WMC) system to address the localization problem is introduced for...

Entry into mitosis is triggered by activation of Cdk1 and inactivation of its counteracting phosphatase PP2A/B55. Greatwall kinase inactivates PP2A/B55 via its substrates Ensa and ARPP19. Both Greatwall and Ensa/ARPP19 are regulated by phosphorylation, but the dynamic regulation of Greatwall activity and the phosphatases that control Greatwall kinase and its substrates are poorly understood. To...

The rapid decline of groundwater levels (GWL) due to pervasive abstraction in the densely populated (~1 billion) Indus-Ganges-Brahmaputra-Meghna (IGBM) transboundary river basins South Asia, necessitates a robust framework prediction and understanding. While few localized studies exist, three-dimensional regional-scale characterization GWL is yet be implemented. Here, ‘support vector machine’, ...

Drilling data for groundwater extraction incur changes over time due to variations in hydrogeological and weather conditions. At any time, if there is a need deploy change drilling operations, companies keep monitoring the time-series make sure it not introducing or new errors. Therefore, solution needed predict levels (GWL) detect boreholes improve efficiency. The proposed study presents an en...

Abstract Integrated terrestrial system models predict the coupled water, energy and biogeochemical cycles. Simulations with these are affected by uncertainties of model parameters, initial boundary conditions, atmospheric forcings biophysical processes. Data assimilation (DA) can quantify reduce uncertainty. This has been tested intensively for single compartment models, but far less integrated...

Graphic warning labels (GWLs) have been developed as a representative non-price policy to block such marketing. This study investigated the current state and effect of the global introduction of GWLs and examines the future tasks related to GWLs. We systematically reviewed literatures on GWL and a tobacco control strategy in the past fifteen years. The policy of enforcing GWLs has spread global...