Search Results - (( developing voting system algorithm ) OR ( java application optimisation algorithm ))
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A Voting Technique Of Multilayer Perceptron Ensemble For Classification Application
Published 2014“…In this research, an integrated system of Multi-Layer Perceptron Ensemble (MLPE) consisting of an MLPE and a new voting algorithm has been developed to increase classification accuracy and reduce the number of reject class cases. …”
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Thesis -
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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. …”
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Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh.
Published 2010“…Therefore, this project intends to investigate the capability of multiple MLP system with majority voting technique. It is a system which consists of all the best-performed MLPs and a single final output from these MLPs is selected by the voting system. …”
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Secure E-Voting With Blind Signature
Published 2003“…We have developed an electronic voting system, E-Voting for a general election. …”
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Ant system and weighted voting method for multiple classifier systems
Published 2018“…Further more the proposed method can be used to develop other multiple classifier systems.…”
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An improved multiple classifier combination scheme for pattern classification
Published 2015“…In this study, an improved multiple classifier combination scheme is proposed. The ant system (AS) algorithm is used to partition feature set in developing feature subsets which represent the number of classifiers. …”
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Classification of Mental Health Level of Students Using SMOTE and Soft Voting Ensemble Classifier and the DASS-21 Profile
“…These findings support the use of ensemble learning and SMOTE for developing effective college student mental health screening systems, ultimately enabling timely intervention and support…”
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Smart thermal comfort system: a development of the fundamental control algorithm
Published 2004“…This paper reports on the development of the fundamental algorithm for a smart thermal comfort system. …”
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Smart thermal comfort system: a development of the fundamental control algorithm
Published 2004“…This paper reports on the development of the fundamental algorithm for a smart thermal comfort system. …”
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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.…”
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Optimal assignments of versions to processors in fault-tolerant computer systems
Published 1988“…This paper addresses the problem of assigning n independently developed version of a program to n different computers to maximize system reliability. …”
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TOPSIS-based Regression Algorithms Evaluation
Published 2022“…The results showed that different preferences led to varying algorithm rankings, but top-ranked algorithms were distinguished using a specific dataset. …”
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Hotel recommendation system using machine learning
Published 2025“…There are three objectives in the study, which is to perform data preprocessing on the Google Reviews dataset for hotels in Perak using an instant data scraper, to develop three suitable machine learning models on the cleaned dataset and evaluate their performance, and to propose a recommendation system based on the developed machine learning models. …”
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Final Year Project / Dissertation / Thesis -
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A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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Augmenting the Robustness and Efficiency of Violence Detection Systems for Surveillance and Non-Surveillance Scenarios
Published 2022“…EvoKeyNet utilizes an evolutionary algorithm to select optimal feature attributes, while KFCRNet employs an ensemble of LSTM, Bi-LSTM, and GRU models with a voting scheme. …”
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Pre-processing strategies for skin detection using MLP
Published 2011“…These features will be used as inputs to the MLP classifiers. A modified Growing algorithm for finding the number of neurons in the hidden layer of a neural network was also developed it was able to reduce the computational time compared to the conventional Growing algorithm. …”
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Developing an ensembled machine learning prediction model for marine fish and aquaculture production
Published 2023“…Finally, an ensemble approach named voting regression combines those three ML models. …”
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