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81
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
Published 2023“…Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …”
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82
Developing a framework for using face recognition in transit payment transactions
Published 2021“…A number of combined algorithms and classifiers are proposed to use in this solution based on the encouraging outcomes observed from the systematic literature review and experts’ survey, including Local Binary Pattern descriptor, Haar-Like Descriptor, Ada Boost, Cascade classifiers, Affine Transformation, Histogram Equalization, Gaussian Filter, Principal Component Analysis which are embedded in OpenCV or MATLAB application. …”
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83
AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients
Published 2015“…However, keeping track of the data for this purpose is overwhelming. …”
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84
Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)
Published 2012Get full text
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85
What are artificial intelligence literacy and competency? A comprehensive framework to support them
Published 2024“…This study goes beyond knowledge (AI literacy), and its two main goals are to (i) define AI literacy and competency by adding the aspects of confidence and self-reflective mindsets, and (ii) propose a more comprehensive framework for K–12 AI education. …”
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86
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
Published 2022“…The thin plate and the zigzag cutouts are modelled using the finite element method, and the optimal location and optimal tip mass of the zigzag cutouts are obtained using genetic algorithms through iterative simulations. …”
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87
Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
Published 2024“…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …”
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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Published 2021“…The performance of the FDD method depends mainly on the quality of the extracted features including real-time changes, phase changes, trend changes, and faulty modes. …”
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90
Localizing-ground Transmitters Using Airborne Antenna Array
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doctoralThesis