Search Results - (( developing effective commitment algorithm ) OR ( java operation machine algorithm ))

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    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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    Monograph
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    Development of open platform controller for step-NC compliant CNC system by Chi Adam, Mohd Khairil Anbia

    Published 2020
    “…However, conventional CNC machines could not find its place in the new era of machining under the conventional standard of ISO 6983 due to its limitation in compatibility, language difference and control has caused increase in terms of repurchase cost, reinstallations, reconfigurations and also training of operators. …”
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    Thesis
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    Mobile Vision-based Automatic Counting of Bacteria Colonies by Jacey-Lynn, Minoi, Tin, Tze Chiang, Terrin, Lim

    Published 2017
    “…Fully automated and high throughput hardware imaging instruments are also available, but such machines are extremely costly. In this paper, we introduce a mobile based computer vision algorithm for automatic bacteria colony counting using morphological operations and transforms in image processing, on a custom Android mobile cross-platform open source software and written in Java, C++ and Open CV computer vision library. …”
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    Article
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    Effect of business social responsibility (BSR) on performance of SMEs in Nigeria by Gorondutse, Abdulahi Hassan

    Published 2014
    “…Therefore, significant positive effects of commitment, trust, and perceived ethics suggest that the variables are important in relation to performance. …”
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    Thesis
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    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…The model involves motorize movement, sensors detection and machine vision to be manipulated by the programmers inside their programs. …”
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    Conference or Workshop Item
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    Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

    Published 2023
    “…Results from this study indicates the usage of k-NN is proven to be most effective algorithm in terms of performance and accuracy required by the shipping industry fraud detection.…”
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    Examining leadership style and ethical reasoning in Nigeria public sector by Felix, Chikelu Okey

    Published 2016
    “…Findings also showed that the relationship between transformational leadership and post conventional cognitive moral development was found to be significantly moderated by religiosity commitment and vertical individualism and collectivism. …”
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    Thesis
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    Fair Traffic Scheduling and Shaping Algorithms for Diffserv Networks by Mohamed, Mohamed Awad Elshaikh

    Published 2006
    “…This thesis investigates the effect of different scheduling mechanisms and usage of a different marker algorithms then develop and implement a fair scheduling mechanism and integrate it with a shaper with the usage of a very fair efficient marker at the edge of the DiffServ networks with the usage of simulation and analytical techniques. …”
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    Thesis
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    Solving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority List by Othman M.N.C., Rahman T.K.A., Mokhlis H., Aman M.M.

    Published 2023
    “…This paper presents an approach to solve the unit commitment problem using a newly developed Multi-agent Evolutionary Programming incorporating Priority List optimisation technique (MAEP-PL). …”
    Article
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    Optimal economic load dispatch using multiobjective cuckoo search algorithm by Yasin Z.M., Aziz N.F.A., Salim N.A., Wahab N.A., Rahmat N.A.

    Published 2023
    “…In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. …”
    Article
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    Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman by Che Othman, Muhammad Nazree

    Published 2013
    “…From the result obtained and the comparative study conducted, it is proved that the proposed MAEP-PL optimisation technique has able to solve the unit commitment problem where, the total daily generation cost is effectively minimised and the computation time is reduced as compared to other techniques.…”
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    Thesis
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    Skyline queries on data with uncertain dimensions for efficient computation by Mohd Saad, Nurul Husna

    Published 2018
    “…The performance of SkyQUD-T is studied against two naïve algorithms that are developed to reflect the best-case and worst-case scenarios. …”
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    Thesis
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    A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings by Raza, M.Q., Khosravi, A.

    Published 2015
    “…As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. …”
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    Article
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