بدائل البحث:
model algorithm » mould algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
finding » findings (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
finding » findings (توسيع البحث)
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321
Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review
منشور في 2022"…WDs coupled with artificial intelligence (AI) algorithms show promise to help understand and conclude meaningful information from the gathered data and provide advanced and clinically meaningful analytics.…"
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322
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
منشور في 2021"…An integrated web application is developed to mock up the end-to-end process in ecommerce. 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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323
Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review
منشور في 2025"…Although AI models have shown promising improvements in sensitivity and specificity, challenges such as algorithmic bias, interpretability, and the generalizability of models across diverse populations remain. …"
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324
Behavior-Based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter
منشور في 2020"…Based on these features, we developed four classification models to identify political troll accounts, these models are based on decision tree, random forest, Adaboost, and gradient boost algorithms. …"
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325
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
منشور في 2009احصل على النص الكامل
doctoralThesis -
326
Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective
منشور في 2024"…It contributes to the literature by identifying the four OR innovations to typify the recent advances in SC optimization: new modeling conditions, new inputs, new decisions, and new algorithms. …"
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327
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
منشور في 2023"…Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. …"
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article -
328
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
منشور في 2023"…<p dir="ltr">Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. …"
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329
A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics
منشور في 2011"…XML similarity evaluation has become a central issue in the database and information communities, its applications ranging over document clustering, version control, data integration and ranked retrieval. Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. …"
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article -
330
An XML Document Comparison Framework
منشور في 2001"…As the Web continues to grow and evolve, more and more information is being placed in structurally rich documents, XML documents in particular, so as to improve the efficiency of similarity clustering, information retrieval and data management applications. Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …"
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331
Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier
منشور في 2021"…<div><p>Machine learning (ML)-based prediction is considered an important technique for improving decision making during the planning process. Modern ML models are used for prediction, prioritization, and decision making. …"
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332
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
منشور في 2023"…Typically, they can (i) ease the training process, (ii) improve the generalizability of ML and DL models, and (iii) overcome data scarcity problems by transferring knowledge from one domain to another or from one task to another. …"