بدائل البحث:
segmentation algorithm » recommendation algorithm (توسيع البحث)
generation algorithm » genetic algorithm (توسيع البحث), detection algorithm (توسيع البحث)
segmentation algorithm » recommendation algorithm (توسيع البحث)
generation algorithm » genetic algorithm (توسيع البحث), detection algorithm (توسيع البحث)
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024الموضوعات: احصل على النص الكامل
article -
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Web Applications Security Testing: Genetic Algorithms Based Test Data Generator
منشور في 2020احصل على النص الكامل
masterThesis -
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Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach
منشور في 2020احصل على النص الكامل
masterThesis -
6
Data Generation for Path Testing
منشور في 2004احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
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Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
منشور في 2019الموضوعات: احصل على النص الكامل
article -
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A genetic algorithm for testable data path synthesis
منشور في 2017احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
9
Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem
منشور في 2016"…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data
منشور في 2012"…In this paper, we develop a novel XML By example Generator (XBeGene) for producing synthetic XML data which closely reflect the user's requirements. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
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An enhanced k-means clustering algorithm for pattern discovery in healthcare data
منشور في 2015"…The huge amounts of data generated by media sensors in health monitoring systems, by medical diagnosis that produce media (audio, video, image, and text) content, and from health service providers are too complex and voluminous to be processed and analyzed by traditional methods. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
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A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
منشور في 2016"…New technologies, such as Next-Generation Genome Sequencing, can now provide huge amounts of data in little time. …"
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
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Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
منشور في 2022"…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …"
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Generative AI revolution in cybersecurity: a comprehensive review of threat intelligence and operations
منشور في 2025"…<p dir="ltr">Cyber threats are increasingly frequent in today’s world, posing challenges for organizations and individuals to protect their data from cybercriminals. On the other hand, Generative Artificial Intelligence (GAI) technology offers an efficient way to automatically address these issues with the help of AI models and algorithms. …"
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Using Machine Learning Algorithms to Forecast Solar Energy Power Output
منشور في 2025"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"
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A multi-pretraining U-Net architecture for semantic segmentation
منشور في 2025"…Particularly, we present a novel non-sequential multi-pretraining U-Net architecture and demonstrate that employing a number of persistent parallel models can boost the effectiveness of the segmentation procedures. The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …"