Results 21 to 30 of about 3,393 (217)
A Parallel Approach to Generate Sports Highlights from Match Videos Using Artificial Intelligence
Advances in Distributed Computing and Artificial Intelligence JournalPublishing highlights after a sports game is a common practice in the broadcast industry, providing viewers with a quick summary of the game and highlighting interesting events.
Arjun Sivaraman +6 more
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Scalable Model-Based Diagnosis with FastDiag: A Dataset and Parallel Benchmark Framework
DataFastDiag is a widely used algorithm for model-based diagnosis, computing minimal subsets of constraints whose removal restores consistency in knowledge-based systems.
Delia Isabel Carrión León +2 more
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Image Data Stream Organization and Online Analysis Application Based on Data Cube Technology [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThis study aims to explore the important role of data-like cube structures in modern remote sensing data processing and data analysis through ArcPy and Python multiprocessing techniques.
X. Huang, X. Gao, S. Ouyang, Z. Fu
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Joint security and performance improvement in multilevel shared caches
IET Information Security, 2021 Multilevel cache architectures are widely used in modern heterogeneous systems for performance improvement. However, satisfying the performance and security requirements at the same time is a challenge for such systems.
Amin Sarihi +4 more
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Journal of Computing Research and InnovationIn critical applications, particularly in areas of Realtime Simulations, usages of Unix-based Shared Memory (Shared Memory) concepts help greatly in managing the system’s resources, to be called into play at any moment by the other subsystems.
Tengku Ezharuddin Tengku Bidin +4 more
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Single-chip multi-processing architecture for spaceborne SAR imaging and intelligent processing
Xibei Gongye Daxue Xuebao, 2021 The satellite-borne SAR image intelligent processing system needs to process on-orbit real-time imaging and various tasks of applications, for which reason designing a dedicated high-efficient single-chip multi-processor is of prioritized necessity that ...
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Advancing Multivariate Time Series Similarity Assessment: An Integrated Computational Approach
IEEE AccessData mining, particularly multivariate time series data analysis, is crucial in extracting insights from complex systems and supporting informed decision-making across diverse domains.
Franck B. N. Tonle +6 more
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Active learning (AL) can be used for optimizing and speeding up the screening phase of systematic reviews. Running simulation studies mimicking the screening process can be used to test the performance of different machine-learning models or to study the
Jonathan de Bruin +5 more
core +2 more sources
Highly Constrained Task Scheduling on Multiprocessing Systems [PDF]
Journal of the ACS Advances in Computer Science, 2007 The problem of non-preemptively scheduling a set of m tasks on n processorswith communication overhead subject to precedence, memory and deadlineconstraints is considered.
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Deep Underground Science and Engineering, EarlyView.This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source