Web service reliability prediction based on machine learning

2021 ◽  
Vol 73 ◽  
pp. 103466
Author(s):  
Yang Song
Keyword(s):  
Machine Learning ◽  
Web Service ◽  
Reliability Prediction ◽  
Service Reliability

scholarly journals A Web Service Reliability Prediction Using HMM and Fuzzy Logic Models

2016 ◽  
Vol 93 ◽  
pp. 886-892 ◽  
Author(s):  
Suhas Honamore ◽  
Santanu Kumar Rath
Keyword(s):  
Fuzzy Logic ◽  
Web Service ◽  
Reliability Prediction ◽  
Service Reliability ◽  
Logic Models

Composite Web Service Reliability Prediction Exploiting Cuckoo Search Clustering

2018 ◽  
Vol 16 (11) ◽  
pp. 840-845
Author(s):  
D. Gokulakrishan ◽  
B. Karthik ◽  
J. Deny
Keyword(s):  
Web Service ◽  
Cuckoo Search ◽  
Reliability Prediction ◽  
Service Reliability ◽  
Composite Web Service

scholarly journals Wastewater Plant Reliability Prediction Using the Machine Learning Classification Algorithms

Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1518
Author(s):  
Lazar Z. Velimirović ◽  
Radmila Janković ◽  
Jelena D. Velimirović ◽  
Aleksandar Janjić
Keyword(s):  
Machine Learning ◽  
Wastewater Treatment ◽  
Water Levels ◽  
Reliability Prediction ◽  
Classification Algorithms ◽  
Water Pump ◽  
Pump Failure ◽  
Machine Learning Classification ◽  
Capacity Current ◽  
Prediction Systems

One way to optimize wastewater treatment system infrastructure, its operations, monitoring, maintenance and management is through development of smart forecasting, monitoring and failure prediction systems using machine learning modeling. The aim of this paper was to develop a model that was able to predict a water pump failure based on the asymmetrical type of data obtained from sensors such as water levels, capacity, current and flow values. Several machine learning classification algorithms were used for predicting water pump failure. Using the classification algorithms, it was possible to make predictions of future values with a simple input of current values, as well as predicting probabilities of each sample belonging to each class. In order to build a prediction model, an asymmetrical type dataset containing the aforementioned variables was used.

scholarly journals Automatic Web Service Tagging Using Machine Learning and WordNet Synsets

2011 ◽  
pp. 46-59 ◽  
Author(s):  
Zeina Azmeh ◽  
Jean-Rémy Falleri ◽  
Marianne Huchard ◽  
Chouki Tibermacine
Keyword(s):  
Machine Learning ◽  
Web Service
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