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Agreement options for negotiation on material location decision of housing development
Published 2020“…A trade-off algorithm among decision-maker preference is needed for negotiation process. …”
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Temporal - spatial recognizer for multi-label data
Published 2018“…Hence, there is a need for a recognition algorithm that can separate the overlapping data points in order to recognize the correct pattern. …”
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Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…Practical implications – The identification algorithm is expected to facilitate the required model development for model-based control design for autonomous helicopter development. …”
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A standard deviation selection in evolutionary algorithm for grouper fish feed formulation
Published 2016“…Malaysia is one of the major producer countries for fishery production due to its location in the equatorial environment.Grouper fish is one of the potential markets in contributing to the income of the country due to its desirable taste, high demand and high price.However, the demand of grouper fish is still insufficient from the wild catch.Therefore, there is a need to farm grouper fish to cater to the market demand.In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available.Therefore, in this study, primary data and secondary data are collected even though there is a limitation of related papers and 30 samples are investigated by using standard deviation selection in Evolutionary algorithm.Thus, this study would unlock frontiers for an extensive research in respect of grouper fish feed formulation.Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable.The feasible and low fitness, quick solution can be obtained. …”
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Scan Matching and KNN Classification for Mobile Robot Localisation Algorithm
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A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
Published 2016“…Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable. The feasible and low fitness, quick solution can be obtained. …”
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A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
Published 2014“…Purpose: The manuscript presents an investigation into a constraint programming-based genetic algorithm for capacity output optimization in a back-end semiconductor manufacturing company. …”
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A study of mobile IP and its security aspects in a LAN environment / Suhaila Che Ismail
Published 1998“…Each mobile IP agent needs a different application and independently configured. …”
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CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK
Published 2023“…This enables smart grid to communicate with each of its devices and applications in monitoring and controlling the components remotely. …”
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University class timetable tool
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Evaluation of the routing algorithms for NoC-based MPSoC: a fuzzy multi-criteria decision-making approach
Published 2023“…Firstly, the decision matrix is constructed based on the performance assessment criteria and routing algorithms. …”
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A new vertical edge detection algorithm and its application
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…The best algorithm will not be the same for all the data sets. …”
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Book Section -
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Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm
Published 2022“…PID is considered as simple yet powerful controller for many kinds of applications. In designing PID, user needs to set appropriate controller gain to achieve a desired performance of the control system, in terms of time response and its steady state error. …”
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Book Chapter -
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Iterative methods for solving split common fixed point problems in Hilbert spaces
Published 2016“…Our interest here is to apply these mappings to propose some algorithms for solving split common fixed point problems and its variant forms, in the end, we prove the convergence results of these algorithms. …”
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