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Showing 121 - 140 results of 462 for search '(( element method algorithm ) OR ((( data modeling algorithm ) OR ( solved learning algorithm ))))', query time: 0.15s Refine Results
  1. 121
    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection

    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

    Published 2020
    “…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …”
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  2. 122
    A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models

    A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models by Osama Bassam J. Rabie (21323741)

    Published 2024
    “…Moreover, the DBRF classification model is deployed to categorize the normal and attacking data flows using optimized features. …”
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  3. 123
    A method for data path synthesis using neural networks

    A method for data path synthesis using neural networks by Harmanani, H.

    Published 2017
    “…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
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  4. 124
    Indexing Arabic texts using association rule data mining

    Indexing Arabic texts using association rule data mining by Haraty, Ramzi A.

    Published 2019
    “…Purpose The purpose of this paper is to propose a new model to enhance auto-indexing Arabic texts. The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. …”
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  5. 125
    An efficient approach for textual data classification using deep learning

    An efficient approach for textual data classification using deep learning by Abdullah Alqahtani (7128143)

    Published 2022
    “…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …”
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  6. 126
    Data mining approach to predict student's selection of program majors

    Data mining approach to predict student's selection of program majors by SIDDARTHA, SHARMILA

    Published 2019
    “…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …”
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  7. 127
    Use of Data Mining Techniques to Detect Fraud in Procurement Sector

    Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

    Published 2022
    “…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …”
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  8. 128
    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learning Models Based on Dimensionality Reduction

    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

    Published 2020
    “…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. This model can be used in a clinical setting as a decision support system or for public health awareness as an informal risk prediction system. …”
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  9. 129
    Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks

    Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks by Bekir Sait Ciftler (17541801)

    Published 2021
    “…Then, we propose a distributed DRL-based algorithm Deep Deterministic Policy Gradient (DDPG), to solve the formulated computationally-intensive problem. …”
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  10. 130
    Education Data Mining to Predict Student Exam Grades in Vocational Institutes

    Education Data Mining to Predict Student Exam Grades in Vocational Institutes by Saleh, Ashjan Ahmad

    Published 2015
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  11. 131
    A method for optimizing test bus assignment and sizing for system-on-a-chip

    A method for optimizing test bus assignment and sizing for system-on-a-chip by Harmanani, Haidar M.

    Published 2017
    “…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …”
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  12. 132
    Assessment of static pile design methods and non-linear analysis of pile driving

    Assessment of static pile design methods and non-linear analysis of pile driving by Abou-Jaoude, Grace G.

    Published 2006
    “…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
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  13. 133
    Evolutionary algorithms for state justification in sequential automatic test pattern generation

    Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

    Published 2005
    “…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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  14. 134
    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms

    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms by Humna Khan (17541972)

    Published 2022
    “…The LR model showed the foremost predictions of ground loss as compared to all the other models analyzed. …”
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  15. 135
    A Comprehensive Review on Conventional and Machine Learning-Assisted Design of 5G Microstrip Patch Antenna

    A Comprehensive Review on Conventional and Machine Learning-Assisted Design of 5G Microstrip Patch Antenna by Nupur Chhaule (21224987)

    Published 2024
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  16. 136
    Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining

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

    Published 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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  17. 137
    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval

    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

    Published 2024
    “…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. …”
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  18. 138
    A Framework for Predictive Modeling in Sustainable Projects

    A Framework for Predictive Modeling in Sustainable Projects by Labban, Tarek

    Published 2012
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  19. 139
    NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY

    NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY by JINESH, PADIKKAPPARAMBIL

    Published 2022
    “…Various sensors and equipment are installed in the AAL context to collect a wide variety of data. Furthermore, AAL could be the motivating technique for the most recent care models by working as an adjunct. …”
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  20. 140
    Artificial intelligence-based methods for fusion of electronic health records and imaging data

    Artificial intelligence-based methods for fusion of electronic health records and imaging data by Farida Mohsen (16994682)

    Published 2022
    “…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …”
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