Simulation, prediction and optimization of typical heavy metals immobilization in swine manure composting by using machine learning models and genetic algorithm

Machine learning for the prediction of heavy metal removal by chitosan-based flocculants

(2022) Chun Lu et al.   CARBOHYDRATE POLYMERS

Prediction and optimization of nitrogen losses in co-composting process by using a hybrid cascaded prediction model and genetic algorithm

(2022) Elif Tuğçe Kabak et al.   CHEMICAL ENGINEERING JOURNAL

Phosphate rock reduces the bioavailability of heavy metals by influencing the bacterial communities during aerobic composting

(2021) Hu CUI et al.   Journal of Integrative Agriculture

Heavy metals passivation driven by the interaction of organic fractions and functional bacteria during biochar/montmorillonite-amended composting

(2021) Caihong Song et al.   BIORESOURCE TECHNOLOGY

Measurement and analysis of regional flood disaster resilience based on a support vector regression model refined by the selfish herd optimizer with elite opposition-based learning

(2021) Dong Liu et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Immobilization pathways of heavy metals in composting: Interactions of microbial community and functional gene under varying C/N ratios and bulking agents

(2021) Hao-nan Guo et al.   JOURNAL OF HAZARDOUS MATERIALS

Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest

(2020) Jianchao Cai et al.   APPLIED ENERGY

Using convolutional neural networks to classify the maturity of compost based on sewage sludge and rapeseed straw

(2020) Sebastian Kujawa et al.   JOURNAL OF CLEANER PRODUCTION

Artificial intelligence applications in solid waste management: A systematic research review

(2020) Mohamed Abdallah et al.   WASTE MANAGEMENT

Potential mechanisms involving the immobilization of Cd, As and Cr during swine manure composting

(2020) Hao-Nan Guo et al.   Scientific Reports

Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review

(2020) Hao-nan Guo et al.   BIORESOURCE TECHNOLOGY

The passivation effect of heavy metals during biochar-amended composting: Emphasize on bacterial communities

(2020) Hu Cui et al.   WASTE MANAGEMENT

Machine learning powered software for accurate prediction of biogas production: A case study on industrial-scale Chinese production data

(2019) Djavan De Clercq et al.   JOURNAL OF CLEANER PRODUCTION

Effect of phosphate amendments on improving the fertilizer efficiency and reducing the mobility of heavy metals during sewage sludge composting

(2019) Xiankai Wang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Organic matter, a critical factor to immobilize phosphorus, copper, and zinc during composting under various initial C/N ratios

(2019) Lixia Wang et al.   BIORESOURCE TECHNOLOGY

Preservation of nitrogen and sulfur and passivation of heavy metals during sewage sludge composting with KH2PO4 and FeSO4

(2019) Xiankai Wang et al.   BIORESOURCE TECHNOLOGY

Assessment contributions of physicochemical properties and bacterial community to mitigate the bioavailability of heavy metals during composting based on structural equation models

(2019) Xiaomeng Chen et al.   BIORESOURCE TECHNOLOGY

The application of machine learning methods for prediction of metal sorption onto biochars

(2019) Xinzhe Zhu et al.   JOURNAL OF HAZARDOUS MATERIALS

Fast characterization of biomass and waste by infrared spectra and machine learning models

(2019) Junyu Tao et al.   JOURNAL OF HAZARDOUS MATERIALS

Roles of adding biochar and montmorillonite alone on reducing the bioavailability of heavy metals during chicken manure composting

(2019) Jingkun Hao et al.   BIORESOURCE TECHNOLOGY

Roles of different humin and heavy-metal resistant bacteria from composting on heavy metal removal

(2019) Yuquan Wei et al.   BIORESOURCE TECHNOLOGY

Application of artificial neural network model for the identification the effect of municipal waste compost and biochar on phytoremediation of contaminated soils

(2019) Reza Roohi et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Effect of biochar and humic acid on the copper, lead, and cadmium passivation during composting

(2018) Haibin Zhou et al.   BIORESOURCE TECHNOLOGY

Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques

(2018) Luz Alejo et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Modeling and prediction of regional municipal solid waste generation and diversion in Canada using machine learning approaches

(2018) Miyuru Kannangara et al.   WASTE MANAGEMENT

Effects of C/N ratio and bulking agent on speciation of Zn and Cu and enzymatic activity during pig manure composting

(2017) Shaohua Wu et al.   INTERNATIONAL BIODETERIORATION & BIODEGRADATION

Multi-site solar power forecasting using gradient boosted regression trees

(2017) Caroline Persson et al.   SOLAR ENERGY

Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm

(2016) Samuel Jacob et al.   BIORESOURCE TECHNOLOGY

Evaluation of medical stone amendment for the reduction of nitrogen loss and bioavailability of heavy metals during pig manure composting

(2016) Quan Wang et al.   BIORESOURCE TECHNOLOGY

Prediction of Influential Operational Compost Parameters for Monitoring Composting Process

(2016) Chitsan Lin et al.   ENVIRONMENTAL ENGINEERING SCIENCE

Prediction of municipal solid waste generation using nonlinear autoregressive network

(2015) Mohammad K. Younes et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Speciation of Cu and Zn during composting of pig manure amended with rock phosphate

(2014) Duian Lu et al.   WASTE MANAGEMENT

Machine learning models for predicting PAHs bioavailability in compost amended soils

(2013) Guozhong Wu et al.   CHEMICAL ENGINEERING JOURNAL

Salinity increases the mobility of Cd, Cu, Mn, and Pb in the sediments of Yangtze Estuary: Relative role of sediments’ properties and metal speciation

(2013) Shou Zhao et al.   CHEMOSPHERE

Modeling and optimization of biogas production on saw dust and other co-substrates using Artificial Neural network and Genetic Algorithm

(2012) E.B. Gueguim Kana et al.   RENEWABLE ENERGY

Influence of organic matter transformations on the bioavailability of heavy metals in a sludge based compost

(2011) Florencio Ingelmo et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Prediction of municipal solid waste generation with combination of support vector machine and principal component analysis: A case study of Mashhad

(2008) R. Noori et al.   Environmental Progress & Sustainable Energy

Variations of metal distribution in sewage sludge composting

(2007) Sabiene Nomeda et al.   WASTE MANAGEMENT