يعرض 121 - 140 نتائج من 417 نتيجة بحث عن '(((( data models algorithm ) OR ( data modelling algorithm ))) OR ( alignment data algorithm ))', وقت الاستعلام: 0.14s تنقيح النتائج
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    Scatter search for homology modeling حسب Mansour, Nashat

    منشور في 2016
    "…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …"
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  5. 125

    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

    منشور في 2024
    "…Exploratory Data Analysis (EDA) highlights the class imbalance problem in detecting fake jobs, which tends the model to act aggressively toward the minority class. …"
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    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands حسب Peng, Wang

    منشور في 2020
    "…In order to mitigate the charging effects of electric vehicles on the hybrid AC–DC microgrid operation, some remotely switches are considered in the system which make it possible for changing the topology and power flow way. In order to model the uncertainty effects, a data-driven framework based on point estimate method and support vector machine is developed. …"
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    article
  8. 128

    Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm حسب Saima Hassan (14918003)

    منشور في 2022
    "…The forecasting performance of the proposed model is compared with other population-based optimized IT2-FLS including genetic algorithm and artificial bee colony optimization algorithm. …"
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    SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data حسب Tekli, Joe

    منشور في 2018
    "…This paper describes SemIndex+, a semantic-aware indexing and querying framework that allows semantic search, result selection, and result ranking of structured (relational DB-style), unstructured (IR-style), and partly structured (NoSQL) data. Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …"
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    article
  12. 132

    Practical single node failure recovery using fractional repetition codes in data centers حسب Itani, May

    منشور في 2016
    "…FR codes consist of a concatenation of an outer maximum distance separable (MDS) code and an inner fractional repetition code that splits the data into several blocks and stores multiple replicas of each on different nodes in the system. …"
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  13. 133

    A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai حسب ALGHANEM, HANI SUBHI MOHD

    منشور في 2024
    "…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …"
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  14. 134
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    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection حسب Zina Chkirbene (16869987)

    منشور في 2020
    "…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …"
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    KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

    منشور في 2021
    "…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. …"
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    Blue collar laborers’ travel pattern recognition: Machine learning classifier approach حسب Aya Hasan Alkhereibi (17151070)

    منشور في 2021
    "…Raw data preprocessing and outliers detection and filtering algorithms were applied at the first stage of the analysis, and consequently, an activity-based travel matrix was developed for each household. …"
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    Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm حسب Mostafa Jabari (21841727)

    منشور في 2024
    "…The study evaluates the BDGOA by applying it to identify unknown parameters of five solar modules. The algorithm's effectiveness is demonstrated through the extraction of parameters for RTC France, PWP201, SM55, KC200GT, and SW255 models, validated against experimental data under diverse conditions. …"
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    Modelling Exchange Rates during Currency Crisis using Neural Networks حسب Nasr, G. E.

    منشور في 2006
    "…This paper presents an artificial neural network (ANN) approach to the forecasting of exchange rate movements during periods of currency crises characterized by excessive volatility. The models are built using the feedforward ANN structure trained by the backpropagation algorithm. …"
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