A method overview in smart aquaculture
Aquaculture is an important part of agricultural economy. In the past, major farming
accidents often occurred due to subjective experience. There are many factors affecting the …
accidents often occurred due to subjective experience. There are many factors affecting the …
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 …
Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
This study investigates the accuracy of least square support vector machine (LSSVM),
multivariate adaptive regression splines (MARS) and M5 model tree (M5Tree) in modeling …
multivariate adaptive regression splines (MARS) and M5 model tree (M5Tree) in modeling …
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
The global decline of water quality in rivers and streams has resulted in a pressing need to
design new watershed management strategies. Water quality can be affected by multiple …
design new watershed management strategies. Water quality can be affected by multiple …
Water quality variations in different climates of Iran: toward modeling total dissolved solid using soft computing techniques
M Montaseri, S Zaman Zad Ghavidel… - … Research and Risk …, 2018 - Springer
In present paper, wavelet analysis of total dissolved solid that monitored at Nazlu Chay
(northwest of Iran), Tajan (north of Iran), Zayandeh Rud (central of Iran) and Helleh (south of …
(northwest of Iran), Tajan (north of Iran), Zayandeh Rud (central of Iran) and Helleh (south of …
Water quality prediction of the yamuna river in India using hybrid neuro-fuzzy models
The potential of four different neuro-fuzzy embedded meta-heuristic algorithms, particle
swarm optimization, genetic algorithm, harmony search, and teaching–learning-based …
swarm optimization, genetic algorithm, harmony search, and teaching–learning-based …
Water quality management using statistical analysis and time-series prediction model
This paper deals with water quality management using statistical analysis and time-series
prediction model. The monthly variation of water quality standards has been used to …
prediction model. The monthly variation of water quality standards has been used to …
Soft computing model coupled with statistical models to estimate future of stock market
Almost every organization around the globe is working with uncertainty due to inevitable
changes and growth in every sphere of life. These changes affect directly or indirectly the …
changes and growth in every sphere of life. These changes affect directly or indirectly the …
River water prediction modeling using neural networks, fuzzy and wavelet coupled model
In this paper, new prediction model introduced by coupling of neural networks model, fuzzy
model and wavelet model for the water resources management. Artificial neural network …
model and wavelet model for the water resources management. Artificial neural network …
Improving SVR and ANFIS performance using wavelet transform and PCA algorithm for modeling and predicting biochemical oxygen demand (BOD)
In recent years, the use of the artificial intelligence as an acceptable method in various
issues, particularly in hydrology, have sharply risen. In this study, Support Vector Regression …
issues, particularly in hydrology, have sharply risen. In this study, Support Vector Regression …