Investigation of the factors affecting reverse osmosis membrane performance using machine-learning techniques

Odabaşı, Çağla; Dologlu, Pelin; Gülmez, Fatih; Kuşoğlu, Gizem; Çağlar, Ömer

doi:10.1016/j.compchemeng.2022.107669

Cited by 27 publications

(2 citation statements)

References 34 publications

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“…This error value is used as a defensive score to decrease the individual effects of individual measurement errors so that there are no significant assumptions that substantially distort the results [11]. The RMSE (Root Mean Square Error) is a method for determining the accuracy of a predictive target value model [32]. It is the estimate of the average difference between the actual value and the estimated value, which is calculated as shown in (1).…”

Section: Discussionmentioning

confidence: 99%

A New Marketing Recommendation System Using a Hybrid Approach to Generate Smart Offers

Mensouri

Azmani

2022

Applied Computer Systems

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In order to increase sales, companies try their best to develop relevant offers that anticipate customer needs. One way to achieve this is by leveraging artificial intelligence algorithms that process data collected based on customer transactions, extract insights and patterns from them, and then present them in a user-friendly way to human or artificial intelligence decision makers. This study is based on a hybrid approach, it starts with an online marketplace dataset that contains many customers’ purchases and ends up with global personalized offers based on three different datasets. The first one, generated by a recommendation system, identifies for each customer a list of products they are most likely to buy. The second is generated with an Apriori algorithm. Apriori is used as an associate rule mining technique to identify and map frequent patterns based on support, confidence, and lift factors, and also to pull important rules between products. The third and last one describes, for each customer, their purchase probability in the next few weeks, based on the BG/NBD model and the average of transactions using the Gamma-Gamma model, as well as the satisfaction based on the CLV and RFMTS models. By combining all three datasets, specific and targeted promotion strategies can be developed. Thus, the company is able to anticipate customer needs and generate the most appropriate offers for them while respecting their budget, with minimum operational costs and a high probability of purchase transformation.

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Section: Discussionmentioning

confidence: 99%

A New Marketing Recommendation System Using a Hybrid Approach to Generate Smart Offers

Mensouri

Azmani

2022

Applied Computer Systems

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“…By leveraging ML techniques, researchers can effectively analyze and understand the intricate relationships between membrane structure and performance. Simultaneously, ML can be applied at the process level to aid in the design of membrane modules and optimize their overall efficiency [186]. Through the integration of ML algorithms, data-driven insights can be extracted to enhance the performance, reliability, and cost-effectiveness of membrane separation systems.…”

Section: Current Challenges and Future Perspectivementioning

confidence: 99%

Recent developments in 3D-printed membranes for water desalination

He,

Yue,

McCutcheon

et al. 2023

J. Phys. Energy

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The recognition of membrane separations as a vital technology platform for enhancing the efficiency of separation processes has been steadily increasing. Concurrently, 3D printing has emerged as an innovative approach to fabricating reverse osmosis (RO) membranes for water desalination and treatment purposes. This method provides a high degree of control over membrane chemistry and structural properties. In particular, when compared to traditional manufacturing techniques, 3D printing holds the potential to expedite customization, a feat that is typically achieved through conventional manufacturing methods but often involves numerous processes and significant costs. This review aims to present the current advancements in membrane manufacturing technology specifically tailored for water desalination purposes, with a particular focus on the development of 3D-printed membranes. A comprehensive analysis of recent progress in 3D-printed membranes is provided. However, conducting experimental work to investigate various influential factors while ensuring consistent results poses a significant challenge. To address this, we explore how membrane manufacturing processes and performance can be effectively pre-designed and guided through the use of molecular dynamics simulations. Finally, this review outlines the challenges faced and presents future perspectives to shed light on research directions for optimizing membrane manufacturing processes and achieving optimal membrane performance.

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Impact of temperature and forward osmosis membrane properties on the concentration polarization and specific energy consumption of hybrid desalination system

Goi,

Liang

2024

Environ Sci Pollut Res

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Investigation of the factors affecting reverse osmosis membrane performance using machine-learning techniques

Cited by 27 publications

References 34 publications

A New Marketing Recommendation System Using a Hybrid Approach to Generate Smart Offers

A New Marketing Recommendation System Using a Hybrid Approach to Generate Smart Offers

Recent developments in 3D-printed membranes for water desalination

Impact of temperature and forward osmosis membrane properties on the concentration polarization and specific energy consumption of hybrid desalination system

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