Deep learning for pH prediction in water desalination using membrane capacitive deionization

Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant

(2021) Nakyung Yoon et al.   DESALINATION

Deep learning model for simulating influence of natural organic matter in nanofiltration

(2021) Jaegyu Shim et al.   WATER RESEARCH

A CNN–LSTM model for gold price time-series forecasting

(2020) Ioannis E. Livieris et al.   NEURAL COMPUTING & APPLICATIONS

pH Dependence of Phosphorus Speciation and Transport in Flow-Electrode Capacitive Deionization

(2020) Yanhong Bian et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

An integrated framework for plant data-driven process modeling using deep-learning with Monte-Carlo simulations

(2020) Soonho Hwangbo et al.   COMPUTERS & CHEMICAL ENGINEERING

Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review

(2020) Lei Li et al.   CHEMICAL ENGINEERING JOURNAL

Influence of natural organic matter on membrane capacitive deionization performance

(2020) Jaegyu Shim et al.   CHEMOSPHERE

Data-driven performance analyses of wastewater treatment plants: A review

(2019) Kathryn B. Newhart et al.   WATER RESEARCH

Influence of various experimental parameters on the capacitive removal of phosphate from aqueous solutions using LDHs/AC composite electrodes

(2019) Enhao Zhu et al.   SEPARATION AND PURIFICATION TECHNOLOGY

Comments on “Comparison of energy consumption in desalination by capacitive deionization and reverse osmosis”

(2019) Ashwin Ramachandran et al.   DESALINATION

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey

(2019) Asad Khan et al.   PHYSICS LETTERS B

Role of ion exchange membranes and capacitive electrodes in membrane capacitive deionization (MCDI) for CO2 capture

(2019) L. Legrand et al.   JOURNAL OF COLLOID AND INTERFACE SCIENCE

A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities

(2018) Chiou-Jye Huang et al.   SENSORS

Energy consumption in capacitive deionization – Constant current versus constant voltage operation

(2018) J.E. Dykstra et al.   WATER RESEARCH

Faradaic reactions in capacitive deionization (CDI) - problems and possibilities: A review

(2018) Changyong Zhang et al.   WATER RESEARCH

Beyond Frame-level CNN: Saliency-Aware 3-D CNN With LSTM for Video Action Recognition

(2017) Xuanhan Wang et al.   IEEE SIGNAL PROCESSING LETTERS

Theory of pH changes in water desalination by capacitive deionization

(2017) J.E. Dykstra et al.   WATER RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

Application of Capacitive Deionisation in water desalination: A review

(2014) Faisal A. AlMarzooqi et al.   DESALINATION

Review on the science and technology of water desalination by capacitive deionization

(2013) S. Porada et al.   PROGRESS IN MATERIALS SCIENCE

Optimization of salt adsorption rate in membrane capacitive deionization

(2013) R. Zhao et al.   WATER RESEARCH

Carbon nanotube membranes with ultrahigh specific adsorption capacity for water desalination and purification

(2013) Hui Ying Yang et al.   Nature Communications

Energy consumption and constant current operation in membrane capacitive deionization

(2012) R. Zhao et al.   Energy & Environmental Science

Ion-exchange membrane capacitive deionization: A new strategy for brackish water desalination

(2011) Haibo Li et al.   DESALINATION

The feasibility of boron removal from water by capacitive deionization

(2011) Eran Avraham et al.   ELECTROCHIMICA ACTA

Membrane capacitive deionization

(2009) P.M. Biesheuvel et al.   JOURNAL OF MEMBRANE SCIENCE

Capacitive deionization (CDI) for desalination and water treatment — past, present and future (a review)

(2008) Yoram Oren   DESALINATION