The aim of the study was to compare the ability of multiple linear regression (MLR) and
Artificial Neural Network (ANN) to predict the overall quality of spreadable Gouda cheese …

Descriptive statistics, correlation, regression, and geostatistical modeling are applied to
assess the trace elements of groundwater and their spatial distribution at the Rangpur …

Flame Seedless grape is considered one of the most popular and favorite grapes for
consumers, since it ripens early, and has good cluster quality. Flame seedless grape …

Forecasting is a very effortful task owing to its features which simultaneously contain linear
and nonlinear patterns. The Autoregressive Integrated Moving Average (ARIMA) model has …

Descriptive statistics, correlation, regression, and geostatistical modeling are applied to
assess the trace elements of groundwater and their spatial distribution at the Rangpur …

Developing a high degree of accuracy of time series forecasting model in sea water quality
resources is very important. However, it is not easy due to the time series data of sea water …

Bioelectrochemical system (BES) is a novel, self-sustaining metal removal technology
functioning on the utilization of chemical energy of organic matter with the help of …

Sustainable water demand management has become a necessity to the world since the
immensely growing population and development have caused water deficit and …

With the development of ensemble machine learning (ML) algorithms, complicated systems
with nonlinear behaviors can be feasibly predicted in a cost-effective and time-saving …

Overpopulation, industrialization, urbanization, and the spreading out of irrigated agricultural
lands are the driving forces to increase the demand of water in the Kingdom of Saudi Arabia …