Search Results - (( using evaluation method algorithm ) OR ( waste detection method algorithm ))
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An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification
Published 2024“…In conclusion, the work demonstrates a novel method for using machine learning algorithms to classify, identify, and predict the contamination level of leftover cooked food, contributing to reducing food waste generated primarily by Malaysians…”
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Evaluation of diagnostic performance of rK28 ELISA using urine for diagnosis of visceral leishmaniasis
Published 2016“…Although simple, these tests still require blood collection and their use in remote settings can be limited due to the need of collection devices, serum fractionation instrument and generation of biohazardous waste. The development of an accurate and non-invasive diagnostic algorithm for VL, such as could be achieved with urine, is desirable. …”
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RGB and RGNIR image dataset for machine learning in plastic waste detection
Published 2025“…The increasing volume of plastic waste is an environmental issue that demands effective sorting methods for different types of plastic. …”
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Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues
Published 2015“…Process optimization in shake flasks culture using one-factor-at-a-time (OFAT) method produced bioethanol yield of 0.428 g/g. …”
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Fault detection and diagnosis for gas density monitoring using multivariate statistical process control
Published 2011“…Therefore, an efficient fault detection and diagnosis algorithm needs to be developed to detect faults that are present in a process and pinpoint the cause of these detected faults. …”
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Evaluation of Lightning Current Using Inverse Procedure Algorithm.
Published 2013“…In order to validate the proposed method, a set of measured electromagnetic fields are applied on proposed algorithm and the evaluated currents are compared to the corresponding measured current as well as the results are discussed accordingly. …”
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Evaluation of dynamic programming among the existing stereo matching algorithms
Published 2015“…The dynamic programming algorithm used on this research is the current method as its disparity estimates at a particular pixel and all the other pixels unlike the old methods which with scanline based of dynamic programming. …”
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Unifying the evaluation criteria of many objectives optimization using fuzzy Delphi method
Published 2021“…Thus, unify a set of most suitable evaluation criteria of the MaOO is needed. This study proposed a distinct unifying model for the MaOO evaluation criteria using the fuzzy Delphi method. …”
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Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images
Published 2012“…The tone mapping algorithm was first compressed using global tone mapping method. …”
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An Enhanced Hybrid Method Using AES Algorithm And Arabic Text Steganography
Published 2024thesis::master thesis -
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Evaluating the effectiveness of integrated benders decomposition algorithm and epsilon constraint method for multi-objective facility location problem under demand uncertainty
Published 2017“…To do this, Monte Carlo method with uniform function is used, then the stability of the proposed method towards demand uncertainty is shown. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…Lastly, in order to externally judge the validity of these types of clustering algorithms, there is a need for a method to correctly and efficiently evaluate their variant multiclass clustering results. …”
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Case Slicing Technique for Feature Selection
Published 2004“…This technique with k = 10 has been used in this thesis to evaluate the proposed approach. …”
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Performance evaluation of heuristic methods in solving symmetric travelling salesman problems
Published 2016“…The modified RTS algorithm also performed better compared to the existing heuristic methods. …”
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Sudoku Generator based on hybrid algorithm / Faridah Abdul Rahman
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Hybrid subjective evaluation method using weighted subsethood - based (WSBA) rule generation algorithm
Published 2013“…The use of fuzzy rules, which were extracted directly from input data through Weighted Subsethood-based (WSBA) Rule Generation Algorithm.WSBA rule generation use the subsethood values to generate the weights which finally produced the fuzzy general rules.The rules generated through the data provided knowledge in developed fuzzy rule The fuzzy rules embedded in the framework of subjective evaluation method showed advantages in generalizing the evaluation of the performance achievement, where the evaluation process can be conducted consistently in producing good evaluation results with the use of the membership set score.The results from the numerical examples are comparable to other fuzzy evaluation methods, even with the use of small rule size.…”
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Application of genetic algorithm methods to optimize flowshop sequencing problem
Published 2008“…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
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