Search Results - (( developing future prioritization algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Development of kano model and quality function development integration to assess customer satisfaction and dissatisfaction of service at local public hospital. by Norshahrizan Nordin

    Published 2015
    “…The results were also validated based on standard Kano model procedure before Kano model and Quality Function Deployment (QFD) is integrated for patient attribute and service attribute prioritization. An algorithm of Kano-QFD matrix operation is developed to compose the prioritized complaint and compliment indexes. …”
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    Generating driver prioritization for Jabatan Perkhidmatan Awam (JPA) – Malaysia Foresight Institute (MFI) collaboration scenario building workshop using Bayesian technique / Wan Nu... by Wan Rahmat Asmadi, Wan Nur Zhulianna

    Published 2015
    “…Therefore, this project will develop a web-based system that will support the process of prioritizing drivers of a foresight study in Malaysia for the purpose of improving the decision making process in the foresight exercise. …”
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    Thesis
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    Dietary supplement of collaborative recommendation system for athlete and fitness enthusiast / Anis Hafiza Gastani, Nur Asyira Naziron and Mohd Taufik Mishan by Gastani, Anis Hafiza, Naziron, Nur Asyira, Mishan, Mohd Taufik

    Published 2024
    “…Assessment through black box testing shows commendable ratings for interface functionalities, reinforcing system reliability. Future recommendations include expanding data scraping techniques and exploring advanced collaborative filtering algorithms for enhanced personalization. …”
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    Article
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    Development of reliability-centered maintenance model using linguistic failure mode and effect analysis by Mohammed Ahmed Qaid, Alrifaey Moath

    Published 2019
    “…Likewise, current developments in the RCM models are struggling to solve the drawbacks of the traditional RCM, but prioritization of risk factors, multi-objective optimization, and policy selection of maintenance are neglected. …”
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    Thesis
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    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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    Thesis
  7. 7

    Optimization of multi-holes drilling toolpath using tiki-taka algorithm by Norazlina, Abdul Rahman

    Published 2024
    “…The research methodology involves problem modeling, algorithm development, and validation. The TSP concept formulated the MDMT problem, representing holes as cities and tools as a salesman in finding the shortest path to develop a mathematical model or fitness function. …”
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    Real-time intelligent recycle waste detection and classification using you only look once version 5 / Aiman Syafwan Amran by Amran, Aiman Syafwan

    Published 2023
    “…The object detection and classification algorithm achieved 91.9% mean average precision in metric evaluation. …”
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    Thesis
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    Vader lexicon and support vector machine algorithm to detect customer sentiment orientation by Vivine Nurcahyawati, ., Zuriani, Mustaffa

    Published 2023
    “…To accomplish this, a dataset from the Amazon website will be analyzed and classified using the Support Vector Machine algorithm. The objective of this method is to determine the level of customer orientation present within the dataset. …”
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    Article
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    Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

    Published 2024
    “…In summary, the study develops algorithms for accurate image quality prediction, refining images, and enhancing visual quality. …”
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    Thesis
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    Analysis of Traffic Accident Patterns Using Association Rule Mining by Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza

    Published 2024
    “…The processed rules can be a foundation for developing predictive models or decision-making tools to mitigate accident risks. …”
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    Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system by Anas, S.B.A., Seyedzadeh, S., Mokhtar, M., Sahbudin, R.K.Z.

    Published 2016
    “…Prioritizing the services is essential to ensure that the delivery of information is at its best. …”
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    Genome-wide computational identification of biologically significant cis-regulatory elements and associated transcription factors from rice by Ho, Chai Ling, Geisler, Matt

    Published 2019
    “…In this study, we tested the applicability of two algorithms developed for other model systems for the identification of biologically significant CREs of co-expressed genes from rice. …”
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    Digital Surface Model (DSM) Construction and Flood Hazard Simulation for Development Plans in Naga City, Philippines by Abd Rahman, Muhammad Zulkarnain, Dinand, Alkema

    Published 2007
    “…On the other hand the assessment should be based on realistic flood hazard indicator that would help to reflect the real impact of urban development on the surrounding areas. This paper presents an example of assessing the impact of flood for future developments in Naga City, the Philippines. …”
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    Enhancing social experience in smart stadium with Wi-Fi 6 quality management by Zakaria, Nurul Azma, Rosman, Muhammad Harith Hakim, Hamid, Erman, Jafar, Fairul Azni, Abbas, Wan Faezah, Mohamad Nazir, Muhammad Rahmatur Rahman

    Published 2025
    “…This study proposes a Wi-Fi 6-based Quality of Service (QoS) management framework to ensure uninterrupted, high-quality video streaming during live events. Developed using Python and NS-3 simulation tools, the framework employs the Priority Queuing algorithm to optimize traffic flow. …”
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    A comparative analysis of machine learning approaches in sukuk price estimation across global regions by Islam, Gazi Taufiq, Malakar, Surajit, Hassan, Khondekar Lutful, Dey, Rajesh, Mahajan, Rupali A, Kassim, Salina

    Published 2024
    “…However, restrictions including short dataset sizes, the omission of Sukuk backed by assets, and overly basic rating categories indicate areas that warrant additional investigation. Future studies could explore comparative analyses of different machine learning algorithms, refine models for dynamic market conditions, and incorporate real-time data integration to enhance Sukuk price forecasting accuracy. …”
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