Search Results - (( developing industry cloud algorithm ) OR ( java implication based algorithm ))

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    Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III by Liu, Jiajia, Zainudin, Edi Syams, As'arry, Azizan, Ismail, Mohd Idris Shah

    Published 2024
    “…This research provides valuable insights for the advancement of intelligent cloud-based 4D printing systems, paving the way for future developments in this field.…”
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    Article
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    A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution by Saydul Akbar, Murad

    Published 2023
    “…To address this issue, the main objective of this research is to improve the existing PR cloud schedulers by developing a new dynamic scheduling algorithm by manipulating the gaps in the cloud job schedule. …”
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    Thesis
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    The development of cloud modelling and motion analysis for virtual environment by Sunar, Mohd. Shahrizal, Daman, Daut, Kari, Sarudin, Mohd. Suaib, Norhaida, Bade, Abdullah

    Published 2005
    “…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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    Monograph
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    The development of cloud modelling and motion analysis for virtual environment by Sunar, Mohd. Shahrizal, Daman, Daut, Kari, Sarudin, Mohd. Suaib, Norhaida, Bade, Abdullah

    Published 2005
    “…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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    Monograph
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    Conceptual deployment models to secure cloud computing / Hajar Ziglari by Ziglari, Hajar

    Published 2012
    “…Cloud computing is growing fast in the IT industry, but while more information from the individuals and companies are stored in cloud, concerns are growing about safety. …”
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    Thesis
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    An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar by Jaafar, Siti Aisyah

    Published 2021
    “…Therefore, in this research, the first objective is to develop an algorithm for a remote AR-IoT monitoring system. …”
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    Thesis
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    Secret sharing scheme for key management of secure data sharing in cloud by Abd Majid, Noorhafezan

    Published 2019
    “…Cloud computing is no longer a new phenomenon in the industry. …”
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    Thesis
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    Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA) by Umar Farouk Mustapha, Abdul-Wadud Alhassan, Dong-Neng Jiang, Guang-Li Li

    Published 2025
    “…This article reviews the emergence of research development on CIA and the potential to revolutionize the aquaculture industry. …”
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    Article
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    Secure lightweight client for cloud-based E-Health Model by Zhang, Xiaowei

    Published 2023
    “…The results of this study will remarkably facilitate the development of a practical secure cloud-based eHealth system.…”
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    Internet of Things-based Home Automation with Network Mapper and MQTT Protocol by Alam T., Rokonuzzaman M., Sarker S., Abadin A.F.M.Z., Debnath T., Hossain M.I.

    Published 2025
    “…The proposed system is developed using a Raspberry Pi 3 Home Server (RHS) driven by the Support Vector Machine (SVM) algorithm. …”
    Article
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    A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications by Far Chen, Jong

    Published 2025
    “…Additionally, an Industrial Internet of Things-based system utilizing servers, cloud platforms, and Supervisory Control and Data Acquisition systems was developed for real-time monitoring, control, and automation to address green energy intermittency. …”
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    An Optimized Load Shedding Approach in Power Grids to Mitigate Cascading Failure by Ahmed M. A., Haidar, Andreas, Helwig, Liviu, Moldovan

    Published 2025
    “…The particle swarm optimization algorithm is employed in cloud computing and monitoring environments to minimize the amount of power to be shed and its location. …”
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    Proceeding
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    Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models by Hilal, Yousif Yakoub

    Published 2019
    “…In FFB and PO models, the data used 15 variables, namely: percentage of mature area and percentage of immature area, rainfall, rainy days, humidity, radiation, temperature, surface wind speed, evaporation and cloud cover, O3, CO, NO2, SO2, and PM10. The study used input energy data from 8 variables for developing energy models. …”
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    Thesis