Arithmetic optimization algorithm with deep learning enabled airborne particle-bound metals size prediction model
Recently, heavy metal air pollution has received significant interest in computing the total concentration of every toxic metal. Chemical fractionation of possibly toxic substances in airborne particles becomes a vital element. Among the primary and secondary air pollutants, airborne particulate mat...
Saved in:
| Main Authors: | Almalawi, A., Khan, A.I., Alsolami, F., Alkhathlan, A., Fahad, A., Irshad, K., Alfakeeh, A.S., Qaiyum, S. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33327 / |
| Published: |
Elsevier Ltd
2022
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131037482&doi=10.1016%2fj.chemosphere.2022.134960&partnerID=40&md5=c8e14c083e8d4baa6be19f5795b90dda http://eprints.utp.edu.my/33327/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Arithmetic optimization algorithm with deep learning enabled airborne particle-bound metals size prediction model
by: Almalawi, A., et al.
Published: (2022) -
Modeling of Remora Optimization with Deep Learning Enabled Heavy Metal Sorption Efficiency Prediction onto Biochar
by: Almalawi, A., et al.
Published: (2022) -
An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique
by: Almalawi, A., et al.
Published: (2022) -
An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique
by: Almalawi, A., et al.
Published: (2022) -
Add-on anomaly threshold technique for improving unsupervised intrusion detection on SCADA data
by: Almalawi, A., et al.
Published: (2020)