يعرض 1 - 13 نتائج من 13 نتيجة بحث عن '(((( data processing algorithm ) OR ( data models algorithm ))) OR ( relevant data algorithm ))~', وقت الاستعلام: 0.10s تنقيح النتائج
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    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

    منشور في 2024
    "…In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …"
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    Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

    منشور في 2022
    "…We searched Embase, PubMed, Scopus, and Google Scholar to retrieve relevant studies. After pre-processing and screening, we extracted data from 34 studies that fulfilled the inclusion criteria. …"
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    C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments حسب Raun, Kristo

    منشور في 2023
    "…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. …"
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    Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

    منشور في 2023
    "…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies.…"
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    Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective حسب Zhitao Xu (2426023)

    منشور في 2024
    "…Furthermore, we recommend four promising research avenues in this interplay: (1) incorporating new decisions relevant to data-enabled SC decisions, (2) developing data-enabled modeling approaches, (3) preprocessing parameters, and (4) developing data-enabled algorithms. …"
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    Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

    منشور في 2023
    "…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies.…"
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    Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS حسب Tekli, Joe

    منشور في 2018
    "…To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …"
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    article
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    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security حسب S. Shitharth (12017480)

    منشور في 2023
    "…Then, the Conjugate Self-Organizing Migration (CSOM) optimization algorithm is deployed to select the most relevant features to train the classifier, which also supports increased detection accuracy. …"
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    Vehicular-OBUs-As-On-Demand-Fogs حسب Sami, Hani

    منشور في 2020
    "…For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …"
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    article
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    Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

    منشور في 2023
    "…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies. …"
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