AQUA - Water Infrastructure, Ecosystems and Society Special Issue on
Emerging Machine Learning and Optimization Techniques in Urban Water Systems
CALL FOR PAPERS
Traditional machine learning (ML) as well as emerging deep learning (DL) techniques are increasingly used by hydraulic engineers for pattern recognition, plausible reasoning, and optimal design and operation of hydrosystems. Despite their outstanding abilities to solve complex problems, predictive accuracy and computational power of ML techniques significantly relies on the selection of appropriate inputs and structural tuning of the technique. To tackle these problems, recent studies introduce novel hybrid models and optimization techniques. This Special Issue intends to include papers introducing and application of novel ML, DL, and optimization techniques to solve a variety of problems in urban water system.
We are pleased to invite you to submit a manuscript to AQUA - Water Infrastructure, Ecosystems and Society for peer review and possible publication in a Special Issue entitled 'Emerging Machine Learning and Optimization Techniques in Urban Water Systems'.
Relevant topics include:
- Supervised Learning for Classification and Regression Problems in Urban Water Systems
- Unsupervised Methods for Clustering Problems in Urban Water Systems
- Vanilla Models, Hybrid Models, and Ensemble Approaches
- Shallow Learning and Deep Learning
- Modern and Emerging Optimization Techniques
Key dates:
Deadline for manuscript submission: September 1st, 2024
Expected publication: Articles will be published online as soon as possible after acceptance.
Guest Editors:
Ali Danandeh Mehr, Faculty of Engineering and Natural Science, Antalya Bilim Universiry, Turkey
Alireza Moghaddamnia, Faculty of Natural Resources, University of Tehran, Iran
How to submit:
Please make sure that your paper follows the Instructions to Authors of the journal, before submitting your paper directly to AQUA - Water infrastructure, Ecosystems and Society’s peer review system. Then choose the article type – ‘Special Issue Article OA’ and the submission category – Special Issue: Machine Learning for Urban Water Systems. This will send your paper to one of the Guest Editors.
