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Social Spider Optimization On Pid Controller
Published 2017“…Among them, Social Spider Optimization (SSO) was chosen for this research. …”
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Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system
Published 2024“…The results are compared against other advanced optimization algorithms, each applied to the FOPI(1+PDN) controller. …”
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Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.]
Published 2021“…Green building is known as a potential method to improve building performance efficiency. …”
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The adaptability of Industrial Revolution 4.0 technology in valuation field / Asmida Shafina Osman
Published 2023“…The support of professional organizations, such as the Royal Institution of Surveyors Malaysia (RISM), will be crucial in guiding valuers through the challenges and opportunities presented by IR4.0 in the valuation field. By embracing these technologies, valuers can revolutionize the industry, ensuring a progressive and successful future for property valuation in Malaysia.…”
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The adaptability of Industrial Revolution 4.0 in valuation field / Asmida Shafina Osman and Nor Azalina Yusnita Abdul Rahman
Published 2023“…The support of professional organizations, such as the Royal Institution of Surveyors Malaysia (RISM), will be crucial in guiding valuers through the challenges and opportunities presented by IR4.0 in the valuation field. By embracing these technologies, valuers can revolutionize the industry, ensuring a progressive and successful future for property valuation in Malaysia.…”
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Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property
Published 2013“…There are various approaches to estimate a property value. Among them, the statistical and spatio-temporal methods incorporate the location and time in the valuation modelling. …”
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An enhanced metaheuristic approach to solve quadratic assignment problem using hybrid technique
Published 2021“…Finally, the hybrid between Discrete Differential Evolution and Tabu Search (HDDETS) algorithm has been proposed in this research work to enhance the exploitation mechanism in the DDE algorithm to get a balanced hybrid algorithm in exploitation and exploration mechanisms and capacity to optimization the solutions of QAP model with a larger size within a reasonable time. …”
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Machine learning algorithms on price and rent predictions in real estate: A systematic literature review / Muhamad Harussani Abdul Salam ... [et al.]
Published 2022“…This study will provide new insights on the Machine Learning Algorithms in the real estate industry.…”
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…However, in many cases it is not possible to get such large amounts of data due to certain constraints. Therefore, there is a need to find a new valuation method that does not require large data sets yet yields the same results. …”
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Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
Published 2018“…The additional components namely sentence checking, sentence correction, syntax tree visualization (VPS) and word attribute are modelled into a package prior to translating them into a tangible output. …”
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Adaptive Selection Of KLSE Stocks Using Neural Networks
Published 2002“…Future research could incorporate technical analyst approach for a comprehensive stock valuation and also integrates with fuzzy technology to handle imprecise data. …”
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Effectiveness of wheel-typed grain design for hybrid rocket motor performance
Published 2013“…The uses of many ports also improvise the regression rate but require a large diameter for structural integrity.…”
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Proceeding Paper -
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Green building factor in machine learning based condominium price prediction
Published 2022“…To predict a housing price, a robust approach is crucial, which can be effectively gained from the machine learning technique. …”
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Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models
Published 2021“…In this work, a new heuristic computing design is presented with an artificial intelligence approach to exploit the models with feed-forward (FF) Gudermannian neural networks (GNN) accomplished with global search capability of genetic algorithms (GA) combined with local convergence aptitude of active-set method (ASM), i.e., FF-GNN-GAASM to solve the second kind of Lane–Emden nonlinear singular models (LE-NSM). …”
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A Molecular Modelling Approach for Designing a Novel Semisynthetic Metalloenzyme Based on Thermolysin
Published 2006“…Current computational chemistry tools were used to solve the problem of screening for the best conformation of potential protein-ligand-metal complex in designing a novel semisynthetic metalloenzyme. The computational tools used were Computational Atlas Topography of Protein (CASTp), a sophisticated molecular modeling environment InsightII, a conventional drug-docking algorithm Autodock 3.05 and a schematic diagram for protein-ligand interactions for a given PDB file LIGPLOT. …”
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Evolutionary integrated heuristic with gudermannian neural networks for second kind of lane– emden nonlinear singular models
Published 2021“…In this work, a new heuristic computing design is presented with an artificial intelligence approach to exploit the models with feed-forward (FF) Gudermannian neural networks (GNN) accomplished with global search capability of genetic algorithms (GA) combined with local convergence aptitude of active-set method (ASM), i.e., FF-GNN-GAASM to solve the second kind of Lane–Emden nonlinear singular models (LE-NSM). …”
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