Cargando…

A Review on Membrane Fouling Prediction Using Artificial Neural Networks (ANNs)

Membrane fouling is a major hurdle to effective pressure-driven membrane processes, such as microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO). Fouling refers to the accumulation of particles, organic and inorganic matter, and microbial cells on the membrane’s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Abuwatfa, Waad H., AlSawaftah, Nour, Darwish, Naif, Pitt, William G., Husseini, Ghaleb A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383311/ https://www.ncbi.nlm.nih.gov/pubmed/37505052 http://dx.doi.org/10.3390/membranes13070685

Ejemplares similares

A Review on Membrane Biofouling: Prediction, Characterization, and Mitigation
por: AlSawaftah, Nour, et al.
Publicado: (2022)

pH-Responsive Nanocarriers in Cancer Therapy
por: AlSawaftah, Nour M., et al.
Publicado: (2022)

Effect of phospholipid head group on ultrasound-triggered drug release and cellular uptake of immunoliposomes
por: Awad, Nahid S., et al.
Publicado: (2023)

Ultrasound-triggered herceptin liposomes for breast cancer therapy
por: Elamir, Amal, et al.
Publicado: (2021)

Thermosensitive Polymers and Thermo-Responsive Liposomal Drug Delivery Systems
por: Abuwatfa, Waad H., et al.
Publicado: (2022)

Liposomes for the Treatment of Brain Cancer—A Review
por: Raju, Richu, et al.
Publicado: (2023)

Transferrin-modified liposomes triggered with ultrasound to treat HeLa cells
por: AlSawaftah, Nour M., et al.
Publicado: (2021)

Ultrasound-Triggered Liposomes Encapsulating Quantum Dots as Safe Fluorescent Markers for Colorectal Cancer
por: Awad, Nahid S., et al.
Publicado: (2021)

Transferrin-Targeted Liposomes in Glioblastoma Therapy: A Review
por: Kawak, Paul, et al.
Publicado: (2023)

Recent Advances in Nanoparticle-Based Co-Delivery Systems for Cancer Therapy
por: Al Bostami, Rouba D., et al.
Publicado: (2022)

Ultrasound Triggering of Liposomal Nanodrugs for Cancer Therapy: A Review
por: Bahutair, Wafa N., et al.
Publicado: (2022)

Redox-Responsive Drug Delivery Systems: A Chemical Perspective
por: Abed, Heba F., et al.
Publicado: (2022)

Acoustically-Activated Liposomal Nanocarriers to Mitigate the Side Effects of Conventional Chemotherapy with a Focus on Emulsion-Liposomes
por: Zafar, Mah Noor, et al.
Publicado: (2023)

Gold-Nanoparticle Hybrid Nanostructures for Multimodal Cancer Therapy
por: Ali, Amaal Abdulraqeb, et al.
Publicado: (2022)

Encapsulation, Release, and Cytotoxicity of Doxorubicin Loaded in Liposomes, Micelles, and Metal-Organic Frameworks: A Review
por: Ibrahim, Mihad, et al.
Publicado: (2022)

Exogenous Contrast Agents in Photoacoustic Imaging: An In Vivo Review for Tumor Imaging
por: Farooq, Afifa, et al.
Publicado: (2022)

Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions
por: AlSawaftah, Nour, et al.
Publicado: (2022)

Analysis and estimation of cross-flow heat exchanger fouling in phosphoric acid concentration plant using response surface methodology (RSM) and artificial neural network (ANN)
por: Jradi, Rania, et al.
Publicado: (2022)

Flux prediction using artificial neural network (ANN) for the upper part of glycolysis
por: Ajjolli Nagaraja, Anamya, et al.
Publicado: (2019)

Artificial Neural Network (ANN) Modeling for Predicting Performance of SBS Modified Asphalt
por: Zhong, Ke, et al.
Publicado: (2022)

RegnANN: Reverse Engineering Gene Networks Using Artificial Neural Networks
por: Grimaldi, Marco, et al.
Publicado: (2011)

Modelling of Behavior for Inhibition Corrosion of Bronze Using Artificial Neural Network (ANN)
por: Millán-Ocampo, D. Elusaí, et al.
Publicado: (2018)

PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based on gene expression
por: Almeida, Palloma Porto, et al.
Publicado: (2020)

Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN)
por: Tey, Shu-Farn, et al.
Publicado: (2021)

Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects
por: Sarang, Poornachandra
Publicado: (2020)

Forecasting of COVID 19 Cases in Karnataka State using Artificial Neural Network (ANN)
por: Shetty, Rashmi P., et al.
Publicado: (2021)

Assessment of Böhme Abrasion Value of Natural Stones through Artificial Neural Networks (ANN)
por: Strzałkowski, Paweł, et al.
Publicado: (2022)

Artificial Neural Network (ANN) Approach to Predict an Optimized pH-Dependent Mesalamine Matrix Tablet
por: Khan, Asad Majeed, et al.
Publicado: (2020)

Heat Rate Prediction of Combined Cycle Power Plant Using an Artificial Neural Network (ANN) Method
por: Arferiandi, Yondha Dwika, et al.
Publicado: (2021)

An app for predicting nurse intention to quit the job using artificial neural networks (ANNs) in Microsoft Excel
por: Chen, Hsiu-Chin, et al.
Publicado: (2022)

Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)
por: Mad Saad, Shaharil, et al.
Publicado: (2015)

Tropospheric Ozone Formation Estimation in Urban City, Bangi, Using Artificial Neural Network (ANN)
por: Abdul Aziz, Fatin Aqilah Binti, et al.
Publicado: (2019)

Controlling Electronic Devices with Brain Rhythms/Electrical Activity Using Artificial Neural Network (ANN)
por: Muhammad, Yar, et al.
Publicado: (2019)

Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN)
por: Khan, Taimur, et al.
Publicado: (2020)

Extraction of Phenolic Compounds with Antioxidant Activity from Strawberries: Modelling with Artificial Neural Networks (ANNs)
por: Golpour, Iman, et al.
Publicado: (2021)

Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia
por: Tareke, Kassa Abera, et al.
Publicado: (2023)

Investigation of the dehydration of ulexite ore with different parameters and modeling with artificial neural network (ANN) method
por: KOCADAĞİSTAN, Mustafa Engin
Publicado: (2022)

Artificial neural networks (ANNs) for modeling efficient factors in predicting pap smear screening behavior change stage
por: Allahyari, Elahe, et al.
Publicado: (2022)

An app for predicting patient dementia classes using convolutional neural networks (CNN) and artificial neural networks (ANN): Comparison of prediction accuracy in Microsoft Excel
por: Ho, Sam Yu-Chieh, et al.
Publicado: (2023)

Artificial Neural Networks (ANN) for the Simultaneous Spectrophotometric Determination of Fluoxetine and Sertraline in Pharmaceutical Formulations and Biological Fluid
por: Akbari Hasanjani, Hamid Reza, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_fdsof1sf4vs539suq188olljh7