Search Results - (( developing areas optimisation algorithm ) OR ( java implication based algorithm ))
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Harmony Search Approach In The Strut And Tie Model To Optimise The Stress Distribution In A Concrete Box Girder
Published 2021“…This study aims to develop a stress optimisation model using harmony search (HS) algorithm to control and limit cracks in the concrete. …”
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Symbiotic organisms search optimization algorithm in cloud computing: a nature-inspired meta-heuristic
Published 2022“…As a result of this development come the issue of handling a complex optimisation problem within a short period remains very difficult. …”
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Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids
Published 2023“…Additionally, we tested how scale-optimisation responded to species' size, taxonomic associations (species and genus), study area and algorithm. …”
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Gait identification and optimisation for amphi-underwater robot by using ant colony algorithm
Published 2019“…For the optimization, the robot will travel from one specific point to another with the predefined position within optimized gait and fastest time by using Ant Colony Optimization (ACO) technique. The algorithm being compared, between Ant Colony Algorithm (ACO) and the Particle Swarm Optimisation (PSO) in terms of time and distance. …”
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A decomposition/aggregation method for solving electrical power dispatch problems
Published 2023“…The optimisation problem for each area can be regarded as a sub-problem of the decomposition scheme. …”
Conference paper -
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New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz
Published 2014“…In addition, a new method to detect weak areas in a system termed as Weak Area Clustering Margin (WACM) was also developed. …”
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Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network
Published 2022“…Design of experiments (DOE) is a family of statistical tools commonly used in food science to optimise recipes and facilitate new food development. …”
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Using genetic algorithms to optimise land use suitability
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Thesis -
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elopment of Neural Network Model for Predicting Crucial Product Properties or Yield for Optimisation of Refinery Operation
Published 2005“…Refinery optimisation requires accurate prediction of crucial product properties and yield of desired products. …”
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Final Year Project -
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Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
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Conference or Workshop Item -
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Enhancing pineapple cultivar classification: a framework for image quality, feature extraction, and algorithmic refinement
Published 2025“…The HSV colour space is validated as more effective for extracting skin features, with its threshold values and post-processing steps significantly reducing classification errors. The proposed algorithmic refinements integrate chromatic and morphological attributes, particularly surface area and optimise logical operators to enhance accuracy. …”
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Computerised Heuristic Algorithm for Multi-location Lecture Timetabling
Published 2020“…After that, the algorithm proceeds to Group Allocation Stage in a round robin optimisation. …”
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Thesis -
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Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia
Published 2019“…The general objective of the study was the development of optimized hybrid debris flow models using airborne laser scanning data and Machine learning algorithms in Malaysia. …”
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Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem
Published 2009“…In this study, we propose an Optimised Crossover Genetic Algorithm (OCGA) for the problem. …”
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Chaotic mutation immune evolutionary programming for photovoltaic planning in power system / Sharifah Azma Syed Mustaffa
Published 2020“…The element of chaotic local search is also integrated into the algorithm for better performance. A new optimisation engine was developed to address this issue. …”
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