[HTML][HTML] Surface water quality profiling using the water quality index, pollution index and statistical methods: A critical review
Surface water is heavily exposed to contamination as this is the ubiquitous source for most
of the water needs. This situation is exaggerated by the excessive population, heavy …
of the water needs. This situation is exaggerated by the excessive population, heavy …
Autoregressive models in environmental forecasting time series: a theoretical and application review
Though globalization, industrialization, and urbanization have escalated the economic
growth of nations, these activities have played foul on the environment. Better understanding …
growth of nations, these activities have played foul on the environment. Better understanding …
[HTML][HTML] Water temperature prediction using improved deep learning methods through reptile search algorithm and weighted mean of vectors optimizer
Precise estimation of water temperature plays a key role in environmental impact
assessment, aquatic ecosystems' management and water resources planning and …
assessment, aquatic ecosystems' management and water resources planning and …
Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach
In this study, three single Artificial Intelligence (AI) based models ie, Back Propagation
Neural Network (BPNN), Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector …
Neural Network (BPNN), Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector …
Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review
The need for accurate predictions of water quality in rivers has encouraged researchers to
develop new methods and to improve the predictive ability of conventional models. In recent …
develop new methods and to improve the predictive ability of conventional models. In recent …
Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation
Water is a prime necessity for the survival and sustenance of all living beings. Over the past
few years, the water quality of rivers is adversely affected due to harmful wastes and …
few years, the water quality of rivers is adversely affected due to harmful wastes and …
Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month …
Everywhere around the globe, the hot topic of discussion today is the ongoing and fast-
spreading coronavirus disease (COVID-19), which is caused by the severe acute respiratory …
spreading coronavirus disease (COVID-19), which is caused by the severe acute respiratory …
Applications of time series analysis to investigate components of Madiyan-rood river water quality
M Ghashghaie, H Eslami, K Ostad-Ali-Askari - Applied Water Science, 2022 - Springer
In this study, 9 remaining water components of Madian River in the Baraftab were
considered. Autoregressive Integrated Moving Average modeling techniques are …
considered. Autoregressive Integrated Moving Average modeling techniques are …
Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries
Discussions about the recently identified deadly coronavirus disease (COVID-19) which
originated in Wuhan, China in December 2019 are common around the globe now. This is …
originated in Wuhan, China in December 2019 are common around the globe now. This is …
Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso
Abstract Reference Evapotranspiration (ETo) is one of the major components of the
hydrological cycle that is very essential in water resources planning, irrigation and drainage …
hydrological cycle that is very essential in water resources planning, irrigation and drainage …