Search Results - (( java application customization algorithm ) OR ( construct priority selection algorithm ))
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1
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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2
Multi agent quality of service routing based on scheme ant colony optimization algorithm
Published 2014“…Some algorithms provide QoS in term of routing, but they usually focus on improving the performance of the highest priority traffic, at the expense of the lower priority classes. …”
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3
Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…An algorithm for selecting communication system is developed by comparing Received Signal Strength Indicator (RSSI) of Wi-Fi and GSM with the priority given to Wi-Fi, followed by GSM and RF. …”
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4
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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5
Iterative Simulation-Based Design of a Multi Input Controller for a Hybrid Renewable Energy System
Published 2021“…The design applies an algorithm to implement an object-oriented finite-state machines model constructed from Simulink to obtain a multiple-input single-output profile. …”
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6
Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management
Published 2024journal::journal article -
7
An adjustable approach to multi-criteria group decision-making based on a preference relationship under fuzzy soft information
Published 2017“…Additionally, in the selection step, the existing methods lack a comprehensive priority approach; they focus on a hierarchical preference which ignores incomparable alternatives. …”
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Article -
8
Identifying Features Eligiblity For Blood Donors' Preferences Using Artificial Neural Networks Prediction Performances
Published 2017“…Therefore, decreasing number of positive significant relationships, regardless numbers of significant relationships, have yield better performance of blood donors’ preferences predictor on main leading features as priority groups of respondents. FA has been implemented to select most and least associated features sets, from LFs and MFs. …”
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9
STUDY OF THE MICRO UNMANNED AERIAL VEHICLE (MUAV) VERTICAL TAKE-OFF AND LANDING (VTOL) CONTROL SYSTEM
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10
A semi-automated requirements prioritisation technique for scalable requirements with stakeholder quantification and prioritisation
Published 2019“…Furthermore, the proposed SRPTackle is based on the combination of the proposed StakeQP technique, the constructed requirement priority value formulation function and the employing of classifying algorithm (K-means and K-means++) and binary search tree. …”
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11
Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Conference or Workshop Item -
12
Evacuation routing optimizer (EROP) / Azlinah Mohamed … [et al.]
Published 2011“…Overall, myDPSOVAP-A outperformed both a genetic algorithm with random vehicle capacity and a genetic algorithm with sort ascending order of vehicle capacity in solving the EVAP. …”
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Research Reports -
13
SRPTackle: a semi-automated requirements prioritisation technique for scalable requirements of software system projects
Published 2021“…Method: SRPTackle provides a semiautomated process based on a combination of a constructed requirement priority value formulation function using a multi-criteria decision-making method (i.e. weighted sum model), clustering algorithms (K-means and K-means++) and a binary search tree to minimise the need for expert involvement and increase efficiency. …”
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