Advanced water level prediction for a large-scale river–lake system using hybrid soft computing approach: a case study in Dongting Lake, China

Land-use suitability assessment for urban development using a GIS-based soft computing approach: A case study of Ili Valley, China

Ecological Indicators ◽

10.1016/j.ecolind.2020.107333 ◽

2021 ◽

Vol 123 ◽

pp. 107333

Author(s):

Chaoxu Luan ◽

Renzhi Liu ◽

Sicheng Peng

Keyword(s):

Land Use ◽

Urban Development ◽

Soft Computing ◽

Land Use Suitability ◽

Suitability Assessment ◽

Advances in Intelligent Systems and Computing - Proceedings of the Third International Conference on Soft Computing for Problem Solving ◽

Assessing the Soft Computing Approach for Problem Solving in the Multi Criteria Decision Making for Performance Assessment in Indian Institutions Through Case Study Approach

10.1007/978-81-322-1768-8_30 ◽

2014 ◽

pp. 325-336

Author(s):

Pooja Tripathi ◽

Jayanthi Ranjan ◽

Tarun Pandeya

Keyword(s):

Decision Making ◽

Problem Solving ◽

Performance Assessment ◽

Soft Computing ◽

Multi Criteria Decision Making ◽

Case Study Approach ◽

Study Approach ◽

A hybrid hierarchical soft computing approach for the technology selection problem in brick industry considering environmental competencies: A case study

Journal of Environmental Management ◽

10.1016/j.jenvman.2019.06.120 ◽

2019 ◽

Vol 248 ◽

pp. 109219 ◽

Cited By ~ 5

Author(s):

Ehsan Solgi ◽

Seyed Mohammad Moattar Husseini ◽

Abbas Ahmadi ◽

Hossein Gitinavard

Keyword(s):

Soft Computing ◽

Selection Problem ◽

Technology Selection ◽

3 Hours ahead of time flood water level prediction using NNARX structure: Case study pahang

2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC) ◽

10.1109/icsgrc.2016.7813309 ◽

2016 ◽

Cited By ~ 4

Author(s):

Noor Ashikin Rohaimi ◽

Fazlina Ahmat Ruslan ◽

Ramli Adnan

Keyword(s):

Water Level ◽

Flood Water ◽

Improvement of voltage profile for large scale power system using soft computing approach

TELKOMNIKA (Telecommunication Computing Electronics and Control) ◽

10.12928/telkomnika.v18i1.13379 ◽

2020 ◽

Vol 18 (1) ◽

pp. 376

Author(s):

Muhammad Abdillah ◽

Herlambang Setiadi ◽

Danang Sulistyo

Keyword(s):

Power System ◽

Soft Computing ◽

Large Scale ◽

Voltage Profile ◽

River Water Level Prediction Using Passive Microwave Signatures—A Case Study: The Bermejo Basin

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2014.2321457 ◽

2014 ◽

Vol 7 (9) ◽

pp. 3903-3914 ◽

Cited By ~ 5

Author(s):

Cristina Vittucci ◽

Leila Guerriero ◽

Paolo Ferrazzoli ◽

Rachid Rahmoune ◽

Veronica Barraza ◽

...

Keyword(s):

Water Level ◽

River Water ◽

Passive Microwave ◽

Bermejo Basin ◽

Microwave Signatures ◽

5 Hours ahead of time flood water level prediction modelling using NNARX technique: Case study terengganu

2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC) ◽

10.1109/icsgrc.2016.7813310 ◽

2016 ◽

Cited By ~ 1

Author(s):

Qammarul Arieff Lukman ◽

Fazlina Ahmat Ruslan ◽

Ramli Adnan

Keyword(s):

Water Level ◽

Flood Water ◽

Prediction Modelling ◽

Dam water level prediction system utilizing Artificial Neural Network Back Propagation: Case study: Ciliwung watershed, Katulampa Dam

2016 International Conference on ICT For Smart Society (ICISS) ◽

10.1109/ictss.2016.7792862 ◽

2016 ◽

Author(s):

Azfina Putri Anindita ◽

Pujo Laksono ◽

I Gusti Bagus Baskara Nugraha

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Water Level ◽

Back Propagation ◽

Prediction System ◽

Artificial Neural ◽

2016 4th International Symposium on Computational and Business Intelligence (ISCBI) ◽

Water level prediction model using back propagation neural network: Case study: The lower of chao phraya basin

10.1109/iscbi.2016.7743284 ◽

2016 ◽

Cited By ~ 1

Author(s):

Panjaporn Truatmoraka ◽

Narongrit Waraporn ◽

Dhanasite Suphachotiwatana

Keyword(s):

Neural Network ◽

Prediction Model ◽

Water Level ◽

Back Propagation ◽

Back Propagation Neural Network ◽

3 Hours flood water level prediction using NNARX structure: Case study Kuala Lumpur

2016 International Conference on Frontiers of Information Technology (FIT) ◽

10.1109/fit.2016.7857537 ◽

2016 ◽

Author(s):

Fazlina Ahmat Ruslan ◽

Abd Manan Samad ◽

Ramli Adnan

Keyword(s):

Water Level ◽

Kuala Lumpur ◽

Flood Water ◽