Search Results - (( its application model algorithm ) OR ( web ((application ant) OR (application _)) algorithm ))*

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    Efficient DNS based Load Balancing for Bursty Web Application Traffic by Chin, Mei Lu, Chong, Eng Tan, Mohamad Imran, Bin Bandan

    Published 2012
    “…The proposed algorithm is evaluated via computer simulation and modeling where its performance is verified against the few selected algorithms of the same nature. …”
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    Article
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    Integrating of web 2.0 technologies for interactive courseware : data structure and algorithm as case study by Mohd Nurhafeezi, Nordin

    Published 2013
    “…Web 2.0 is commonly associated with Web applications that facilitate interactive information sharing, interoperability, user-centred design, and collaboration utilizing of technology. …”
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    Final Year Project Report / IMRAD
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    Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

    Published 2018
    “…This SOA implementation does not possess adequate security solutions within it, and its security is completely dependent on network/transport layer security that is obsolete owing to latest web technologies such as Web 2.0 and its upgraded version, Web 3.0. …”
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    Article
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    Adaptive security architecture for protecting RESTful web services in enterprise computing environment by Beer, M.I., Hassan, M.F.

    Published 2018
    “…This SOA implementation does not possess adequate security solutions within it, and its security is completely dependent on network/transport layer security that is obsolete owing to latest web technologies such as Web 2.0 and its upgraded version, Web 3.0. …”
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    Article
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    DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS by MEHMOOD SHAH, SYED NASIR

    Published 2012
    “…Grid, an infrastructure for resource sharing, currently has shown its importance in many scientific applications requiring tremendously high computational power. …”
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    Thesis
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    Efficient prime-based method for interactive mining of frequent patterns. by Mohammad Hossein, Nadimi Shahraki, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2011
    “…This is because the appropriate value depends on the type of application and expectation of the user. Moreover, in some real-time applications such as web mining and e-business, finding new correlations between patterns by changing the minimum support threshold is needed. …”
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    Article
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    Defect green coffee bean detection using image recognition and supervised learning by Shafian Izan Sofian

    Published 2022
    “…The model was integrated as web application with Flask where user can upload the image and the system will return result with precision and prediction. …”
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    Academic Exercise
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    Metocean Prediction using Hadoop, Spark & R by Sumayema, Kabir Ricky

    Published 2019
    “…This project is the development of an analysis system for historical Metocean Data. it is also partial recreation of a previous system overcoming some of its shortcomings. The new system will be a single page reactive web application with shiny web UI containing forecasting model, ARIMA developed with R for the variables of Metocean data stored in Hadoop and spark is integrated to make the computations happen in-memory. …”
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    Final Year Project
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    Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

    Published 2025
    “…Intent-IQ is a web application system which allows users to input Shopee product link and it leads to the intent classification, where the reviews can be classified into its intent categories such as praise, complaint and suggestion. …”
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    Article
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    New species orchid recognition system using convolutional neural network / Annisa Atikah Mohd Fadzil and Itaza Afiani Mohtar by Mohd Fadzil, Annisa Atikah, Mohtar, Itaza Afiani

    Published 2021
    “…Transfer learning was also implemented in this project to skip the feature extraction phase that requires many computational resources in the CNN algorithm. The model of transfer learning that is used is the Inception V3 model. …”
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    Article
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