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2681
Multi-version consolidation method for block-level backup data
Published 2011-01-01“…Historical version backup data query efficiency was dependent on the version chain length in a multi-version backup data storage system.A novel block-level backup data multi-version consolidation method was presented for this problem.Any version of a historical full system snapshot could be generated within the incremental backup data version sequence.Theoretical analysis showed that it could increase the target snapshot version query efficiency significantly in the version chain.A variable-length block version merging algorithm was presented to decrease the computing complex-ity in the process of snapshot version merging,according to the block-level backup data distribution features.Finally,the concrete applications and performance analysis for block-level version consolidation method was also introduced.The simulated experiments results expose that the version consolidation method can eliminate redundant version of backup data with the same version chain length,and it can increase full system recovery efficiency than traditional methods sig-nificantly.…”
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2682
Artificial Intelligence and Breast Cancer Management: From Data to the Clinic
Published 2025-04-01“…The oncology field had an exponential growth in the abundance of medical images, clinical information, and genomic data. With its continuous advancement and refinement, artificial intelligence (AI) has demonstrated exceptional capabilities in processing intricate multidimensional BC‐related data. …”
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2683
Explicit Deconvolution of Well Test Data Dominated by Wellbore Storage
Published 2014-01-01“…Each method has been validated using both synthetic data and field cases and each method should be considered valid for practical applications.…”
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2684
Automated identification of pathways from quantitative genetic interaction data
Published 2010-06-01“…Our approach should be readily applicable to the next generation of quantitative GI data sets, as assays become available for additional phenotypes and eventually higher‐level organisms.…”
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2685
Segmentation study of nanoparticle topological structures based on synthetic data.
Published 2024-01-01“…Nanoparticles exhibit broad applications in materials mechanics, medicine, energy and other fields. …”
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2686
ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYSIS IN CRIME PREVENTION AND COMBAT
Published 2025-03-01“…In the era of accelerated digitalization, the use of artificial intelligence (AI) and big data analysis has become a necessity in crime prevention and combat. …”
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2687
Multifunction Transceiver for Data Communication, Radar Sensing and Power Transfer
Published 2025-06-01“…This review paper aims to discuss the architectural aspects of the integration of radar sensing, data communication, and power transfer. Firstly, the integration of radar sensing and data communication is studied for both cooperating and non-cooperating radar systems with conventional and interferometric architectures. …”
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2688
Single‐Cell Hi‐C Technologies and Computational Data Analysis
Published 2025-03-01“…Although many scHi‐C protocols have been developed, they often involve intricate procedures and the resulting data are sparse, leading to computational challenges for systematic data analysis and limited applicability. …”
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2689
Coarse-to-Fine Approach: Automatic Delineation of Kidney Ultrasound Data
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2690
Advancing Sequential Manga Colorization for AR Through Data Synthesis
Published 2025-01-01“…Combining both real and synthetic data, we established a comprehensive benchmark for manga colorization in AR scenarios. …”
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2691
Interactive Earth system data cube visualization in Jupyter notebooks
Published 2025-04-01“…Visualization is key for interpreting the rapid growth of gridded, spatio-temporal data sets in Earth system sciences. However, today’s tools are often designed as standalone applications, insufficiently integrated into scientific workflows, and typically not designed for directly interacting with data. …”
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2692
Geospatial Data Enrichment through Address Geocoding: Challenges and Solutions
Published 2024-10-01“…Geospatial data enrichment challenges are explored using the SemTUI framework and QGIS platform. …”
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2693
MOIRA-UNIMORE Bearing Data Set for Independent Cart Systems
Published 2025-03-01“…This paper introduces a comprehensive and publicly accessible data set from an experimental study on an independent cart system powered by linear motors. …”
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2694
Applications of Machine Learning in Cyber Security: A Review
Published 2024-11-01“…However, this paper poses the question of qualitative and quantitative data. This paper argues that scholarly research in this domain is severely impacted by the quality and quantity of available data. …”
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2695
The Ethics of Data and Its Governance: A Discourse Theoretical Approach
Published 2025-06-01“…The rapidly growing amount and importance of data across all aspects of organisations and society have led to urgent calls for better, more comprehensive and applicable approaches to data governance. …”
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2696
Correcting the Arcjet Thruster Disturbance in GOES‐16 Magnetometer Data
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2697
A robust scheme for securing relational data incremental watermarking
Published 2025-06-01“…However, unlike other digital assets, such as multimedia data, relational data are often subject to frequent updates that may dramatically compromise the quality of the embedded watermark. …”
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2698
Medical laboratory data-based models: opportunities, obstacles, and solutions
Published 2025-07-01“…Abstract Medical Laboratory Data (MLD) models, which combine artificial intelligence with big medical data, have great potential in disease screening, diagnosis, personalized medicine, and health management. …”
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2699
Data hiding to the image with bit plane slicing and double XOR
Published 2022-06-01“…Data hiding is done in different environments and with different techniques, and applications in this area attract a lot of attention. …”
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2700
Research on elimination method of abnormal power data of wind turbine
Published 2025-02-01“…Finally, the combination method of quantile method and density-based spatial clustering of applications with noise (DBSCAN) clustering method is used to eliminate the discrete points close to the normal data. …”
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