Search Results - (( developing practical selection algorithm ) OR ( java application stemming algorithm ))
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Advancements in crop water modelling: algorithmic developments and parameter optimization strategies for sustainable agriculture: a review
Published 2024“…The impact of optimized modelling approaches on sustainable agricultural practices and water management is also discussed. Overall, this comprehensive review provides valuable insights into the importance of algorithm development, optimization, and parameter selection in crop water modelling, specifically focusing on crop factors, soil factors, and weather factors.…”
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences
Published 2024journal::journal article -
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…Further, the performances of the developed algorithms are assessed in solving selected practical problems in business, mechanical/manufacturing engineering and electrical engineering fields. …”
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Developing best practice guidelines for oral cancer management in Malaysia / Aznilawati Abdul Aziz
Published 2017“…Enhancing the quality of care for oral cancer patients requires an evidence-based framework outlining the current and best practices in patient management. An evidence-based practice guideline can be used as a decision guide for oral cancer teams and cancer patients in selecting the best option of oral cancer care. …”
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An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…This research constructs a self-generated calculation algorithm as a decision engine in a practical, user-friendly Decision Support System to determine the best team formation and the suitable playing position for players in a football team. …”
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…Further more, an improved non-dominated sorting genetic algorithm with an elite strategy II (IMNSGA-II) has been developed to solve the two bi-objective models, surpassing existing literature’s algorithms such as Pareto Envelope-based Selection Algorithm II (PESA-II) and NSGA-II. …”
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Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…This tool can be used to ease the process of developing a new March test algorithm for NPSF.…”
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An expert knowledge based decommissioning alternative selection system for fixed oil and gas assets in the South China Sea
Published 2017“…This work develops a knowledge based advisory expert system to address the late-life structural ambiguity of fixed jacket platforms in the selection of a best practicable decommissioning method. …”
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Genetic Algorithm based Chain Leader Election in Wireless Sensor Network for Precision Farming
Published 2020“…Therefore, this study aims to prolong the lifespan of WSN while minimizing the energy consumption. Genetic Algorithm (GA) is proposed to enhance the chain leader selection scheme of the conventional PEGASIS. …”
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Moderating role of management support in the relationship between human resource practices and employee performance: A study of academics in Nigerian Polytechnics
Published 2018“…The finding indicated that effective HR practices (recruitment and selection, training and development, and succession planning) enhanced employee performance; thus, organisations should entrench such HR practices in an effective manner. …”
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Development of a systematic method in lean tool selection for automotive industry
Published 2012“…The developed software probably assists manufacturers in applying the systematic lean tool selection. …”
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Optimal timber transportation planning in tropical hill forest using bees algorithm
Published 2022“…Given the finding of this study, the optimisation of the BA model has a better performance than the current practice of forest road planning in Malaysia. Although both practices have a similar objective to achieve sustainable timber harvesting with minimum impact on the environment and society, and low operational costs, the model developed in this study has shown better performance than the current practice. …”
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Development of an effective clustering algorithm for older fallers
Published 2022“…The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. …”
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FULLY AUTOMATED DIABETIC RETINOPATHY MONITORING AND GRADING SYSTEM
Published 2016“…Semi-automated DR grading and monitoring system has been developed for clinical practice. This system had been proven to achieve high sensitivity, accuracy and specificity. …”
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Final Year Project -
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Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…However, in practice, high leverage points may lead to misleading results in solving variable selection problems. …”
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Optimization of an extended H-infinity controller for unmanned helicopter control using multiobjective differential evolution (MODE)
Published 2015“…This thus requires a priori selection of weighting structures. Practical implications – The proposed MODE-infinity controller algorithm is expected to ease the design and deployment of the robust controller in autonomous helicopter application especially for practicing engineer with little experience in advance control parameters tuning. …”
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Moderating effect of management support on the relationship between HR practices and employee performance in Nigeria
Published 2019“…The overall findings signify that recruitment and selection, training and development, performance appraisal and succession planning are strong and positive predictors of employee performance, and management support is a moderator in training and development–employee performance relationship, and in compensation–employee performance connection. …”
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Modelling and Optimization of Asymmetric Vehicle Routing Problem Using Particle Swarm Optimization Algorithm
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