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Showing 41 - 60 results of 302 for search '(((( data fusion algorithm ) OR ( data including algorithm ))) OR ( elements method algorithm ))', query time: 0.11s Refine Results
  1. 41
    Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization

    Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization by Alkhawja, Fares Amin E

    Published 2019
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  2. 42
    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information by M. Ghoniem, Rania

    Published 2019
    “…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …”
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  3. 43
    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review

    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review by Francisco Monteiro-Guerra (16864122)

    Published 2019
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  4. 44
    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms

    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

    Published 2021
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  5. 45
    Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms

    Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms by Tekli, Joe

    Published 2018
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  6. 46
    Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning

    Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning by Zeinab, Samira Jihad

    Published 2022
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  7. 47
    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children by Jayakanth, Kunhoth

    Published 2023
    “…The feature fusion approach substantially improved the classification accuracy, with the SVM trained on fused features from the task specific-data achieving an accuracy of 97.3%. …”
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  8. 48
    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children

    CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children by Jayakanth Kunhoth (14158908)

    Published 2023
    “…The feature fusion approach substantially improved the classification accuracy, with the SVM trained on fused features from the task specific-data achieving an accuracy of 97.3%. …”
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  9. 49
    Design of acoustic absorbing metasurfaces using a data-driven approach

    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
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  10. 50
    Decision-level fusion for single-view gait recognition with various carrying and clothing conditions

    Decision-level fusion for single-view gait recognition with various carrying and clothing conditions by Al-Tayyan, Amer

    Published 2017
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  11. 51
    A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)

    A parallel search tree algorithm for vertex cover on graphical processing units. (c2013) by Kabbara, Rashad Karim

    Published 2013
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  12. 52
    Design of adaptive arrays based on element position perturbations

    Design of adaptive arrays based on element position perturbations by Dawoud, M.M.

    Published 1993
    “…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …”
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  13. 53
    A decentralized load balancing strategy for parallel search-three optimization. (c2010)

    A decentralized load balancing strategy for parallel search-three optimization. (c2010) by Mouawad, Amer E.

    Published 2010
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  14. 54
    Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters

    Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters by Sakib Mahmud (15302404)

    Published 2025
    “…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …”
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  15. 55
    The Use of Microwave Tomography in Bone Healing Monitoring

    The Use of Microwave Tomography in Bone Healing Monitoring by Alkhodari, Mohanad Ahmed

    Published 2019
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  16. 56
    Topics in graph algorithms

    Topics in graph algorithms by Abu-Khzam, Faisal Nabih

    Published 2003
    “…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …”
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  17. 57
    A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata

    A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata by Siddiqui, Ansah Juned

    Published 2025
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  18. 58
    Data Generation for Path Testing

    Data Generation for Path Testing by Mansour, Nashat

    Published 2004
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  19. 59
    Predict Student Success and Performance factors by analyzing educational data using data mining techniques

    Predict Student Success and Performance factors by analyzing educational data using data mining techniques by ATIF, MUHAMMAD

    Published 2022
    “…The model is then applied to data collected from a reputable university that included 126,698 records with twenty-six (26) initial data attributes. …”
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  20. 60
    Correlation Clustering with Overlaps

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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