Application of Computational Model Based Probabilistic Neural Network for Surface Water Quality Prediction
Applications of artificial intelligence (AI) models have been massively explored for various engineering and sciences domains over the past two decades. Their capacity in modeling complex problems confirmed and motivated researchers to explore their merit in different disciplines. The use of two AI-...
Published in: | Mathematics |
---|---|
Main Author: | 2-s2.0-85141886143 |
Format: | Article |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2022
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141886143&doi=10.3390%2fmath10213960&partnerID=40&md5=d474ad41c826c9b3500c7db90951a2b5 |
Similar Items
-
Artificial neural network modelling and flood water level prediction using extended Kalman filter
by: 2-s2.0-84875980418
Published: (2012) -
A neural network students' performance prediction model (NNSPPM)
by: 2-s2.0-84894188408
Published: (2013) -
Predicting Dengue Outbreak based on Meteorological Data Using Artificial Neural Network and Decision Tree Models
by: 2-s2.0-85139442952
Published: (2022) -
Analyzing Energy-Efficient and Kubernetes-Based Autoscaling of Microservices Using Probabilistic Model Checking
by: Agos Jawaddi, et al.
Published: (2025) -
Analyzing Energy-Efficient and Kubernetes-Based Autoscaling of Microservices Using Probabilistic Model Checking
by: Agos Jawaddi S.N.; Ismail A.; Sulaiman M.S.; Cardellini V.
Published: (2025)