Smart water conservation through a machine learning and blockchain-enabled decentralized edge computing network

T Thakur, A Mehra, V Hassija, V Chamola… - Applied Soft …, 2021 - Elsevier
Forecasting precise water usage corresponding to various beneficial usages is important for
optimal and sustainable planning and management of water resources. Due to rapid …

Infilling of missing rainfall and streamflow data in the Shire River basin, Malawi–A self organizing map approach

FD Mwale, AJ Adeloye, R Rustum - Physics and Chemistry of the Earth …, 2012 - Elsevier
A major requirement for the assessment, development and sustainable use of water
resources is the availability of good quality hydrological time series data of sufficiently long …

Comparative studies of different imputation methods for recovering streamflow observation

M Kim, S Baek, M Ligaray, J Pyo, M Park, KH Cho - Water, 2015 - mdpi.com
Faulty field sensors cause unreliability in the observed data that needed to calibrate and
assess hydrology models. However, it is illogical to ignore abnormal or missing values if …

Surface and sub-surface flow estimation at high temporal resolution using deep neural networks

A Abbas, S Baek, M Kim, M Ligaray, O Ribolzi… - Journal of …, 2020 - Elsevier
Recent intensification in climate change have resulted in the rise of hydrological extreme
events. This demands modeling of hydrological processes at high temporal resolution to …

Estimation of rainfall and streamflow missing data under uncertainty for Nile basin headwaters: the case of Ghba catchments

MG Hiben, AG Awoke, AA Ashenafi - Journal of Applied Water …, 2024 - Taylor & Francis
The datasets in semi-arid and arid regions of developing countries are known for their long
period of missing data. To approximate any missing data interpolation or estimation …

Implementasi Algoritma Pelatihan Levenberg Marquardt Dan Regularisasi Bayes Untuk Prediksi Curah Hujan

Y Lisa - VOX EDUKASI: Jurnal Ilmiah Ilmu Pendidikan, 2015 - jurnal.stkippersada.ac.id
Abstract Algoritma Levenberg Marquardt digunakan untuk pelatihan feedforward neural
network karena keefektifan dan kecepatan konvergensinya. Levenberg Marquardt …