يعرض 61 - 80 نتائج من 688 نتيجة بحث عن '(( settlement data algorithm ) OR ((( data using algorithm ) OR ( path making algorithm ))))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 61

    Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units حسب Shanableh, Tamer

    منشور في 2019
    "…The flags pertaining to 16x16 sub CUs are used as a cover for data embedding, where 6 or 4 message bits are embedded per CU. …"
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    article
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    Auto-indexing Arabic texts based on association rule data mining. (c2015) حسب Rouba G. Nasrallah

    منشور في 2015
    "…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. The model uses the Apriori Algorithm - an association rule algorithm for extracting frequent sets containing related items - to extract relations between words in the texts to be indexed with words from texts that belong to the same category. …"
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    masterThesis
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    Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing حسب Jincheng Zhou (1887307)

    منشور في 2023
    "…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"
  7. 67

    Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining حسب Alqaryouti, Omar

    منشور في 2021
    "…Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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    Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm? حسب Saravanan Thirumuruganathan (11038038)

    منشور في 2021
    "…The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the incorporation of self-competence, where the model defers when it cannot reasonably make a recommendation. …"
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    Prediction of EV Charging Behavior Using Machine Learning حسب Shahriar, Sakib

    منشور في 2021
    "…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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    article
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    Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic حسب AL MANSOORI, MOUZA

    منشور في 2021
    "…Therefore, big data analytics field emerged to tame the generated big data, and use it to provide useful insights to the world. …"
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  15. 75

    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

    منشور في 2022
    "…There are a variety of ways in which AI technology can aid in the growth and profitability of a variety of industries. Such data can be parsed using ML and AI approaches in designed to check attacks on CPSs. …"
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  16. 76

    Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms حسب Almahmood, Mothanna

    منشور في 2023
    "…Our study aimed to use data mining classification techniques, in order to classify the individual into two categories: user or non-user. …"
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  17. 77

    The Relation Between Respiratory & Acute Coronary Syndrome Using Data Mining Techniques حسب DOULEH, HANI ABDULLAH YOSEF ABU

    منشور في 2018
    "…The purpose of this study is to diagnose acute coronary syndrome using the widely available respiratory diagnosing tools and laboratory test results using data mining classification techniques (Decision tree, Gradient boosted tree, Neural Network, and Naïve Bias). …"
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    Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm حسب Saima Hassan (14918003)

    منشور في 2022
    "…The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. Tuning of the consequent part parameters are accomplished using extreme learning machine. …"
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