Exploration of time series model for predictive evaluation of long-term performance of membrane distillation desalination

Chemical engineering of electrospun nanofibrous‐based three‐layered nonwoven polymeric protective mask for enhanced performance

“…Furthermore, the stretching at 1300 cm −1 and 1100 cm −1 is attributed to the ester and methylene groups, respectively. In contrast, S‐2 (PVDF) shows the presence of CF2 at 1200 cm −1 , and the strong peak at 1400 cm −1 indicates the presence of CH2 groups 43,45 . As far as the PBI spectra are concerned, the characteristic peaks of the NH bond are at 3500–2500 cm −1 .…”

On the evaluating membrane flux of forward osmosis systems: Data assessment and advanced intelligent modeling

“…A recent review reports the application of AI methods in the field of water treatment and desalination (Ray et al, 2023). More specifically, in membrane water desalination, AI methods have been successfully applied for predicting the performance of MBR (Viet et al, 2021), ultrafiltration (UF) (Fetanat et al, 2021), membrane distillation (MD) (Ray et al, 2022), microfiltration (MF) (Tanudjaja & Chew, 2022), NF (Hu et al, 2021), RO (Bonny et al, 2022; Garg & Joshi, 2014), hybrid NF‐RO (Srivastava et al, 2021), and FO (Im et al, 2022) systems. Although some research has explored the application of AI in predicting internal concentration polarization (Ibrar et al, 2022), reverse solute flux (Ibrar et al, 2023), and membrane fouling (Im et al, 2021) in FO systems, some studies have focused on the application of AI in predicting the permeate flux of FO systems.…”