يعرض 1 - 20 نتائج من 79 نتيجة بحث عن '(( element data algorithm ) OR ((( current sampling algorithm ) OR ( event modeling algorithm ))))', وقت الاستعلام: 0.14s تنقيح النتائج
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    Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

    منشور في 2023
    "…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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    Process Mining over Unordered Event Streams حسب Awad, Ahmed

    منشور في 2020
    "…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
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    Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

    منشور في 2021
    "…Conformance checking compares a process model and recorded executions of a process, i.e., a log of traces. …"
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    An Event-Triggered Robust Attitude Control of Flexible Spacecraft With Modified Rodrigues Parameters Under Limited Communication حسب Syed Muhammad Amrr (16855557)

    منشور في 2019
    "…Aligned with these design objectives, a robust event-triggered attitude control algorithm is proposed to regulate the orientation of a flexible spacecraft subjected to parametric uncertainties, external disturbances, and vibrations due to flexible appendages. …"
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    Generic metadata representation framework for social-based event detection, description, and linkage حسب Abebe, Minale A.

    منشور في 2020
    "…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …"
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    article
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    Prediction of EV Charging Behavior Using Machine Learning حسب Shahriar, Sakib

    منشور في 2021
    "…Therefore, in this paper we propose the usage of historical charging data in conjunction with weather, traffic, and events data to predict EV session duration and energy consumption using popular machine learning algorithms including random forest, SVM, XGBoost and deep neural networks. …"
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    article
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    Current trends and future orientation in diagnosing lung pathologies: A systematic survey حسب Noorizadeh, Mohammad

    منشور في 2025
    "…This study examined the current state-of-the-art methods and offers a comprehensive analysis of their advantages and disadvantages from an engineering perspective. …"
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    article
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    Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population حسب Amr M. Fahmi (21632909)

    منشور في 2024
    "…Each patient provided a saliva sample. DNA was extracted, purified and genotyped for <i>VKORC−1639 G>A, CYP2C9*2, CYP2C9*3 </i>and<i> CYP4F2*3</i>. …"
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    Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

    منشور في 2018
    "…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
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    article
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    XBeGene: Scalable XML Documents Generator by Example Based on Real Data حسب Harazaki, Manami

    منشور في 2012
    "…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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    conferenceObject
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