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Towards Multimedia Fragmentation
منشور في 2006"…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
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Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
منشور في 2019الموضوعات: احصل على النص الكامل
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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. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation
منشور في 2007"…Database fragmentation allows reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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A multi-pretraining U-Net architecture for semantic segmentation
منشور في 2025"…New developments in the deep learning field contributed to the development of new application domains and this has made segmenting nuclei possible. In this research, we propose and evaluate a modified version of a deep learning algorithm called U-Net architecture for partitioning histopathological images. …"
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VEGAWES: variational segmentation on whole exome sequencing for copy number detection
منشور في 2015"…In this work, we developed VEGAWES for accurate and robust detection of copy number variations on WES data. VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. …"
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Mapping realistic data sets on parallel computers
منشور في 1993"…The authors propose reducing the problem size by a mapping-oriented graph contraction technique. They present a graph contraction (GC) heuristic algorithm that yields a smaller representation of the problem, to which mapping is then applied. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
12
Graph Contraction for Mapping Data on Parallel Computers
منشور في 1994"…Then we present a mapping-oriented parallel graph contraction (PGC) heuristic algorithm that yields a smaller representation of the problem to which mapping is then applied. …"
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احصل على النص الكامل
احصل على النص الكامل
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Big Data Energy Management, Analytics and Visualization for Residential Areas
منشور في 2020"…Utilizing the same common communication infrastructure, it also allows the utilities on different consumption levels (community, state, country) to monitor and visualize the energy consumption in their respective grid segments on daily, monthly, and yearly basis. A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …"
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احصل على النص الكامل
احصل على النص الكامل
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
منشور في 2022"…The automatic segmentation algorithm is adopted to extract the region of interest, and subsequently morphological and texture features are computed. …"
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …"
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Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare
منشور في 2007"…Since even segmenting the log into clusters may not solve the problem, as clusters/segments may grow to be humongous in size, this is in case of high data/transaction dependency, we suggest a method for segmenting the log into clusters and its sub-clusters; i.e, segmenting the cluster; based on exact data dependency [12], into sub-clusters; based on two different criteria: number of data items or space occupied. …"
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احصل على النص الكامل
احصل على النص الكامل
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Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
منشور في 2017"…This paper reviews testing procedures, data analysis, updated algorithms used for joint detection, and discusses the latest round of testing in samples with simulated joints at various angles along the borehole.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject