Search Results - (( quality classification protocol algorithm ) OR ( java application optimisation algorithm ))
Search alternatives:
- application optimisation »
- classification protocol »
- quality classification »
- optimisation algorithm »
- protocol algorithm »
- java application »
-
1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
Get full text
Get full text
Get full text
Article -
2
A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024Subjects:Article -
3
Clustering network traffic utilization
Published 2013“…The analysis discussed on the quality of resulting clusters from all the algorithms. …”
Get full text
Get full text
Article -
4
-
5
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
Get full text
Get full text
Thesis -
6
Real-time and predictive analytics of air quality with IoT system: A review
Published 2020“…(iv) Data analytics for Air Pollution Index (API) prediction along with IoT, with various communication protocols can as-sist in the development of real-time, and continuous high precision environmen-tal monitoring systems. v) Machine Learning (ML) Regression algorithm is suit-able for prediction and classification of concentration gas pollutant, while ANN and SVM algorithm is used for forecasting.…”
Get full text
Get full text
Get full text
Book Chapter -
7
Prediction of sleep pattern for university students using machine learning
Published 2026“…Data was collected through an online survey of 286 respondents, covering features related to demographics, daily habits, and personal perceptions. The Random Forest algorithm was employed for classification, evaluated using a 5-Fold Cross-Validation protocol, and achieved an average accuracy of 81.46%. …”
Get full text
Get full text
Get full text
Conference or Workshop Item
