Search Results - (( java adaptation optimization algorithm ) OR ( pre reduction using algorithm ))

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    Peak-To-Peak Average Power Ratio Reduction In Orthogonal Frequency Division Multiplexing System Using The Combination Of Comapnding And Pre-Coding Techniques by Ooi, Xin Kai

    Published 2017
    “…Pre-coding technique will be investigated to combine with the algorithm of the μ-law companding and exponential companding to improve the PAPR reduction. …”
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    Monograph
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    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

    Published 2025
    “…The use of evaluators in the PECSCO mechanism to pre-assess data prior to synchronization with cloud storage has been shown to substantially decrease cloud expenses. …”
    Conference paper
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    A New Pre-Processing Technique For Computational Of Stereo Matching Algorithm by Kadmin, Ahmad Fauzan, Hamzah, Rostam Affendi, Abd Manap, Nurulfajar, Hamid, Mohd Saad

    Published 2021
    “…Stereo colour images obtained are consists with noises due to undesirable weather and illumination conditions due to it taken under inadequate or non-uniform light. The algorithm begins with pre-processing stage to enhance the colour image quality using combination of CLAHE, AGCWD and guided filter. …”
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    Article
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    Microcrack Detection And Noise Reduction In Integrated Circuit Packages by Koh, Ye Sheng

    Published 2018
    “…The third algorithm, modified Perona-Malik’s anisotropic diffusion method consists of three stages, (i) image crack enhancement which separates the image into its red, green, and blue channels and enhances the crack features using modified Perona-Malik’s anisotropic diffusion, (ii) image crack segmentation which subtracts the diffused image with the pre-diffused image before summing the grey values of the images together, and (iii) image denoising using morphological opening and median filter. …”
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    Monograph
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    A noise filtering framework in multi-channel speech enhancement system for environmental noises / Pavani Cherukuru by Pavani , Cherukuru

    Published 2023
    “…Micro Electro-Mechanical Systems (MEMS) microphones are used in MCSE systems in outdoor environments. There are many existing algorithms used to filter the noise in speech enhancement systems which are frequently used as a pre-processor to enhance speech quality. …”
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    Thesis
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    Rule-based filtering algorithm for textual document by Jamil, Nurul Syafidah, Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2017
    “…Improper filtration might cause terms that have similar meaning to be removed.Thus, to reduce the high-dimensionality of text, this study proposed a filtering algorithm that is able to filter the important terms from the pre-processed text and applied term weighting scheme to solve synonym problem which will help the selection of relevant term.The proposed filtering algorithm utilizes a keyword library that contained special terms which is developed to ensure that important terms are not eliminated during filtration process.The performance of the proposed filtering algorithm is compared with rough set attribute reduction (RSAR) and information retrieval (IR) approaches.From the experiment, the proposed filtering algorithm has outperformed both RSAR and IR in terms of extracted relevant terms.…”
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    Article
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    A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

    Published 2016
    “…The components of the AIRS2 algorithm that pose problems will be modified. This thesis proposes three new hybrid algorithms: The FRA-AIRS2 algorithm uses fuzzy logic to improve data reduction capability of AIRS2 and to solve the linearity problem associated with resource allocation of AIRS. …”
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    Thesis
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    Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm by Nurcahyawati, Vivine, Mustaffa, Zuriani

    Published 2023
    “…Many of these dimensionalities have a major impact on the complexity and performance of the algorithms used for classification. Various challenges were encountered, including how to determine the optimal combination of pre-processing techniques, how to clean the dataset, and determine the best classification algorithm. …”
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    Article
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    Reducing Tasks Migration in LRE-TL Real-time Multiprocessor Scheduling Algorithm by Alhussian, Hitham, Nordin, Zakaria M, Hussin, Fawnizu Azmadi, Bahbouh, Hussein T.

    Published 2013
    “…To verify our work, an independent-samples t-test is used to compare tasks migration using the original LRE-TL algorithm and the modified one. …”
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    Conference or Workshop Item
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    Optimizing sentiment analysis of Indonesian texts: Enhancing deep learning models with genetic algorithm-based feature selection by Siti, Mujilahwati, Noor Zuraidin, Mohd Safar, Ku Muhammad Naim, Ku Khalif, Nasyitah, Ghazalli

    Published 2024
    “…This study examines the optimization of Indonesian text sentiment analysis through the integration of feature selection using a genetic algorithm (GA) with deep learning models. …”
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    Article
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    Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images by Adil Humayun, Khan

    Published 2024
    “…Statistical techniques such as Anisotropic Diffusion Filter (ADF), local contrast enhancement, and haze reduction in the CIELAB colour space, are incorporated in the proposed algorithms for the pre-processing step. …”
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    Thesis
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    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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    Thesis
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    A new ant based rule extraction algorithm for web classification by Ku-Mahamud, Ku Ruhana, Saian, Rizauddin

    Published 2011
    “…Methods to reduce the number of attributes and discretization are two important data pre-processing steps before the data can be used for classification activity. …”
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    Monograph
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    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…The experimental results showed that the accuracy of the algorithm over the NSL-KDD dataset was 99.72%, with a memory reduction of 10%. …”
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    Thesis
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    Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

    Published 2014
    “…The designed algorithms are implemented for EHD equations and their performance is evaluated by using different performance indicators. …”
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    Thesis