Search
Search Results
-
Multi-objective parameter optimization of CNC plane milling for sustainable manufacturing
Energy modeling and cutting parameter optimization of the machining process have been recognized as powerful and effective ways to save energy....
-
A multi-objective optimization model of urban passenger transportation structure under low-carbon orientation considering participating subjects
The optimization of urban passenger transport structure can effectively save energy and reduce the carbon emission of transport. However, the carbon...
-
Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning
Resource recycling is considered necessary for sustainable development, especially in smart cities where increased urbanization and the variety of...
-
Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction
Since air pollution negatively affects human health and causes serious diseases, accurate air pollution prediction is essential regarding...
-
Arsenate removal using chitosan-coated bentonite via fixed-bed system: a process integration by fuzzy optimization
Groundwater contamination is a global concern that has detrimental effect on public health and the environment. Sustainable groundwater treatment...
-
Optimization of divalent mercury removal from synthetic wastewater using desirability function in central composite design of response surface methodology
Heavy metals exist in the ecosystem both naturally and due to anthropogenic activities and as recalcitrant pollutants; they are non-biodegradable and...
-
Optimization of low-grade coal and refuse-derived fuel blends for improved co-combustion behavior in coal-fired power plants
This study is aimed at utilizing three waste materials, i.e., solid refuse fuel (SRF), tire derived fuel (TDF), and sludge derived fuel (SDF), as...
-
Degradation of paraquat herbicide using hybrid AOP process: statistical optimization, kinetic study, and estimation of electrical energy consumption
BackgroundThis work studied the performance of UV/PS/TiO 2 NPs and UV/PI/TiO 2 NPs as hybrid advanced oxidation processes for degradation of paraquat in...
-
Statistical physics approach for modeling adsorption isotherms and enhancing desalination efficiency using silica gel/water system
In this research, the main objective is the employing of the statistical physics approach based on the grand canonical partition function to provide...
-
Application of chitosan-Acacia nilotica bio-composite for wastewater treatment and significance of RSM-model for parametric optimization
Industrial wastewater treatment is a challenging task and different biopolymer-based materials have been investigated but the choice of material and...
-
Muscovite clay for methylene blue removal: advanced optimization and Al-guided breakthroughs—an independent application from prior antibiotic removal investigation
AbstractThis study evaluates the efficacy of muscovite mineral clay as an adsorbent for removing Methylene Blue (MB) from water-based solutions. The...
-
A Hybrid Approach Based on Statistical Method and Meta-heuristic Optimization Algorithm for Coastal Aquifer Vulnerability Assessment
One of the major shortcomings with GALDIT model is the difficulty in specifying numerical constant values for the rating and weighting system of...
-
Simultaneous identification of groundwater contaminant source and hydraulic parameters based on multilayer perceptron and flying foxes optimization
Groundwater contaminant source identification (GCSI) has practical significance for groundwater remediation and liability. However, when applying the...
-
Aspirin Adsorption onto Activated Carbon Derived from Spent Tea Leaves: Statistical Optimization and Regeneration Study
Contamination of water sources by contaminants of emerging concerns, including pharmaceutical compounds, threatens the well-being of human who relies...
-
Optimization of methyl orange decolorization by bismuth(0)-doped hydroxyapatite/reduced graphene oxide composite using RSM-CCD
In the current study, the catalyst for the decolorization of methyl orange (MO) was developed HAp-rGO by the aqueous precipitation approach. Then,...
-
Optimization of biocementation responses by artificial neural network and random forest in comparison to response surface methodology
In this article, the optimization of the specific urease activity (SUA) and the calcium carbonate (CaCO 3 ) using microbially induced calcite...
-
Statistical techniques for the optimization of cesium removal from aqueous solutions onto iron-based nanoparticle-zeolite composites
Statistical optimization of performance determining factors is essential for the development of a cesium removal system from aqueous solutions....
-
Hybrid Whale Archimedes Optimization–based MLPNN model for soil nutrient classification and pH prediction
Soil fertility and environmental factors play an important role in improving productivity and cropland quality in the agricultural sector. A new...
-
A novel model for rainfall prediction using hybrid stochastic-based Bayesian optimization algorithm
Rainfall forecasting is considered one of the key concerns in the meteorological department because it is related strongly to social as well as...
-
Multi-objective Allocation Optimization of Soil Conservation Measures Under Data Uncertainty
Many regions worldwide face soil loss rates that endanger future food supply. Constructing soil and water conservation measures reduces soil loss but...
