Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones.
Mohd Saiful Samsudin,Azman Azid,Saiful Iskandar Khalit,Muhamad Shirwan Abdullah Sani,Fathurrahman Lananan +4 more
Reads0
Chats0
TLDR
It is suggested that ANN was an effective tool to compute the MWQ in mangrove estuarine zone and a powerful alternative prediction model as compared to the other modelling methods.About:
This article is published in Marine Pollution Bulletin.The article was published on 2019-03-09 and is currently open access. It has received 27 citations till now.read more
Citations
More filters
Journal ArticleDOI
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination
Sani Isah Abba,Sinan Jasim Hadi,Saad Sh. Sammen,Sinan Q. Salih,Sinan Q. Salih,R. A. Abdulkadir,Quoc Bao Pham,Zaher Mundher Yaseen +7 more
TL;DR: In this article, the applicability of Extreme Gradient Boosting (XGB) and Genetic Programming (GP) in obtaining feature importance, and abstracted input variables were imposed into the predictive model (the Extreme Learning Machine (ELM)) for the prediction of water quality index (WQI).
Journal ArticleDOI
Water Quality Prediction and Classification Based on Principal Component Regression and Gradient Boosting Classifier Approach
Md. Saikat Islam Khan,David Schmidtz,Nazrul Islam,Jia Uddin,Sifatul Islam,Mostofa Kamal Nasir +5 more
TL;DR: A water quality prediction model utilizing the principal component regression technique and the Gradient Boosting Classifier method, which show credible performance compared with the state-of-art models.
Journal ArticleDOI
Water quality prediction and classification based on principal component regression and gradient boosting classifier approach
TL;DR: Wang et al. as mentioned in this paper presented a water quality prediction model utilizing the principal component regression technique, which achieved 95% prediction accuracy for the principal components regression method and 100% classification accuracy for gradient boosting classifier method.
Journal ArticleDOI
An accelerated gradient-based optimization development for multi-reservoir hydropower systems optimization
Yin Fang,Iman Ahmadianfar,Arvin Samadi-Koucheksaraee,Reza Azarsa,Miklas Scholz,Zaher Mundher Yaseen,Zaher Mundher Yaseen +6 more
TL;DR: In this article, an accelerated version of gradient-based optimization (AGBO) is developed to solve a complex multi-reservoir hydropower system, which uses an efficient adaptive control parameters mechanism to stabilize the global and local search; utilizing an enhanced local escaping operator (ELEO) to extend the chances of getting away from local optima; expanding the exploitation search by applying the sequential quadratic programming (SQP) technique.
Journal ArticleDOI
Spatiotemporal variation of the nutrients and heavy metals in mangroves using multivariate statistical analysis, Gulf of Kachchh (India).
Parul Maurya,Rina Kumari +1 more
TL;DR: In this paper, the spatial and seasonal variation of nutrients and heavy metals in mangroves water in the Gulf of Kachchh, India was assessed using surface water samples collected during pre- and post-monsoon to evaluate the hydrochemical processes occurring in the region.
References
More filters
Journal ArticleDOI
Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)—a case study
TL;DR: This study presents necessity and usefulness of multivariate statistical techniques for evaluation and interpretation of large complex data sets with a view to get better information about the water quality and design of monitoring network for effective management of water resources.
Journal ArticleDOI
A World Without Mangroves
Norman C. Duke,Jan-Olaf Meynecke,Sabine Dittmann,Aaron M. Ellison,Klaus Anger,Uta Berger,Stefano Cannicci,Karen Diele,Katherine C. Ewel,C. D. Field,Nico Koedam,Shing Yip Lee,Cyril Marchand,Inga Nordhaus,Farid Dahdouh-Guebas +14 more
TL;DR: At a meeting of world mangrove experts held last year in Australia, it was unanimously agreed that the authors face the prospect of a world deprived of the services offered byMangrove ecosystems, perhaps within the next 100 years.
Journal ArticleDOI
The role of sediment microorganisms in the productivity, conservation, and rehabilitation of mangrove ecosystems: an overview
TL;DR: This overview summarizes the current state of knowledge of microbial transformations of nutrients in mangrove ecosystems and illustrates the important contributions these microorganisms make to the productivity of the ecosystems.
Journal ArticleDOI
Groundwater level forecasting using artificial neural networks
TL;DR: The different experiment results show that accurate predictions can be achieved with a standard feedforward neural network trained with the Levenberg–Marquardt algorithm providing the best results for up to 18 months forecasts.
Journal ArticleDOI
Preliminary assessment of heavy metals in water and sediment of Karnaphuli River, Bangladesh
TL;DR: In this paper, four heavy metals such as arsenic (As), chromium (Cr), cadmium (Cd), and lead (Pb) in sediments and water were investigated from Karnaphuli River in Bangladesh.
Related Papers (5)
Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment
Sasmita Sahoo,Madan K. Jha +1 more
Modeling daily chlorophyll a dynamics in a German lowland river using artificial neural networks and multiple linear regression approaches
Comparative Prediction of Stream Water Total Nitrogen from Land Cover Using Artificial Neural Network and Multiple Linear Regression Approaches
B. J. Amiri,K. Nakane +1 more