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Data repair accelerating scheme for erasure-coded storage system based on FPGA and hierarchical parallel decoding structure
Erasure coding has been widely used in commodity datacenter to tolerate faults, due to its ability to simultaneously provide high storage space...
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A parallel data-structure for modular programming of triangulated computing media.
Our long-term project involves performing general-purpose computation on 2D amorphous computing media, which consist of arbitrary many, small,...
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Dynamic Multi-bit Parallel Computing Method Based on Reconfigurable Structure
Reconfigurable architecture has great potential in computation-intensive and memory-intensive applications due to its flexible information...
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Parallel continuous skyline query over high-dimensional data stream windows
Real-time multi-criteria decision-making applications in fields like high-speed algorithmic trading, emergency response, and disaster management have...
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A Survey and Experimental Review on Data Distribution Strategies for Parallel Spatial Clustering Algorithms
The advent of Big Data has led to the rapid growth in the usage of parallel clustering algorithms that work over distributed computing frameworks...
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Discovery of Rare Itemsets Using Hyper-Linked Data Structure: A Parallel Approach
Pattern mining has been more important in the solution of various data mining jobs over the years. The extraction of common patterns was the primary...
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Addressing the data gap: building a parallel corpus for Kashmiri language
This paper marks a significant step forward in language technology for low-resource languages by develo** the first parallel corpus for the...
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Attention-parallel multisource data fusion residual network-based open-circuit fault diagnosis of cascaded H-bridge inverters
Aiming to solve the problems of multiple internal power components, high fault probability, high similarity of the fault features of different power...
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Parallel Algorithms for Data Digital Filtering
The paper proposes parallel algorithms for solving digital filtering problems of different dimensions using modern universal computers. Theoretical...
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Data quality augmentation and parallel network modeling for residual life prediction of lithium-ion batteries
Research on the data-driven health state estimation of lithium-ion batteries has gained significant attention in recent years. However, the practical...
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Design of IIR Lowpass Differentiators Using Parallel Allpass Structure
In this paper, design of infinite impulse response lowpass differentiators that can be realized by parallel connection of two allpass filters whose...
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Comparison of Different Parallel Transport Methods for the Study of Deformations in 3D Cardiac Data
Comparing the deformations of different beating hearts is a challenging operation. As in clinics the impaired condition is often recognized upon...
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Parallel pairwise operations on data stored in DNA: sorting, XOR, shifting, and searching
Prior research has introduced the Single-Instruction-Multiple-Data paradigm for DNA computing (SIMD DNA). It offers the potential for storing...
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A Novel Hash Function Based on Multi-iterative Parallel Structure
Hash functions serve as a fundamental cryptographic primitives and are used in numerous security fields, such as cloud audit, digital signature,...
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Effectiveness of parallel computer data and video English course based on neural network
With the expansion of the scale of deep learning network and the rapid increase of the number of network training parameters, the network training...
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Parallel Numerical Implementation of Mathematical Wave Hydrodynamics Models Taking into Account the Features of the Vertical Turbulent Exchange Using Remote Sensing Data
AbstractThis paper presents a parallel implementation of the wave hydrodynamics model and the modern SWAN wind-wave model. The results of the...
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ForestSubtype: a cancer subtype identifying approach based on high-dimensional genomic data and a parallel random forest
BackgroundCancer subtype classification is helpful for personalized cancer treatment. Although, some approaches have been developed to classifying...
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Identification and localization of veneer knot defects based on parallel structure fusion approach
Veneer knots are the main indicator of plywood quality. Existing veneer knot identification algorithms have a high identification accuracy rate of...
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Parallel Implementation of Key Algorithms for Intelligent Processing of Graphic Signal Data of Consumer Digital Equipment
With the rapid development of Internet of Things (IoT) and information technology, there are more and more data storage about graphic signals in...
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An efficient parallel fusion structure of distilled and transformer-enhanced modules for lightweight image super-resolution
Although the convolution neural network (CNN) and transformer methods have greatly promoted the development of image super-resolution, these two...
