Search Results - (( developing agent extraction algorithm ) OR ( java application optimisation algorithm ))
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1
Agent-based extraction algorithm for computational problem solving
Published 2015“…Finally,Algorithm_Agent employs the extracted information provided by IPO_Agent to produce the pseudo-code of the given problem and shows it in separate window. …”
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Thesis -
2
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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Article -
3
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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4
Embodied conversational agents for H5N1 pandemic crisis
Published 2007“…Another significant contribution of our work is the development of a Automated Knowledge Extraction Agent (AKEA) to capitalize on the tremendous amount of data that is now available online to support our experiments. …”
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5
Multi-agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…Kuala Lumpur Stock Exchange (KLSE) was selected as the targeted stock market. Four types of agents were developed, including the Web Mining Agent (WMA), the Wealth Forecasting Agent (WFA), the Strategy Agent (SA), and the Wealth Planning Agent (WPA). …”
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6
Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…This study aims to explore the potential of implementing multi-agent-based Genetic Algorithm (GA) with interactive metamodel to acquire regular optimisation on dynamic characteristic of traffic flow. …”
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7
Multi agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…Kuala Lumpur Stock Exchange (KLSE) was selected as the targeted stock market. Four types of agents were developed, including the Web Mining Agent (WMA), the Wealth Forecasting Agent (WFA), the Strategy Agent (SA), and the Wealth Planning Agent (WPA). …”
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8
Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
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Final Year Project / Dissertation / Thesis -
9
A modified digital hysteresis and artificial neural network (ANN) algorithms in single phase shunt active power filter control
Published 2014“…With active power filter (APF) wide knowledge and sophistication in this regard, a high performance extraction algorithm coupled with a fast switching technique must be developed in utilizing this device optimum potential. …”
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10
Modelling of Liquid-liquid Equilibrium Behaviour of Aqueous Two-Phase Polymer Mixture System for Protein Extraction
Published 2007“…Aqueous Two-Phase Extraction System (ATPES) has the potential to be an efficient yet inexpensive, large-scale separation techniques with short process development times for high-value protein because ATPES offers high yield and eliminates a large portion of the contaminating lysate. …”
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Conference or Workshop Item -
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Automate customer support handling E-Commerce enquiry using ChatGPT
Published 2024“…Machine Learning-based Named Entity Recognition (NER) is employed to identify and extract specific entities, while contextual analysis algorithms determine message relevance for summarization. …”
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Final Year Project / Dissertation / Thesis -
13
Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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14
The potential of shear wave velocity as an erosion risk index
Published 2022“…Based on soil properties and their response to erosion agents, efforts have been made to develop simplified models and indices for the estimation of erosion. …”
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Article -
15
Hybrid Models Of Fuzzy Artmap And Qlearning For Pattern Classification
Published 2015“…To overcome the opaqueness issue, a Genetic Algorithm (GA) is used to extract fuzzy if-then rules from QFAM. …”
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16
A study on component-based technology for development of complex bioinformatics software
Published 2004“…Othman proposed a clustering algorithm named BTreeBicluster. The BTreeBicluster starts with the development of GO tree and enriching it with expression similarity from the Sacchromyces genes. …”
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Monograph -
17