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2,970 Result(s)
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SHA: QoS-Aware Software and Hardware Auto-Tuning for Database Systems
While databases are widely-used in commercial user-facing services that have stringent quality-of-service (QoS) requirement, it is crucial to ensure their good performance and minimize the hardware usage at th...
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10-Million Atoms Simulation of First-Principle Package LS3DF
The growing demand for semiconductor devices simulation poses a big challenge for large-scale electronic structure calculations. Among various methods, the linearly scaling three-dimensional fragment (LS3DF) m...
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Federated Dynamic Client Selection for Fairness Guarantee in Heterogeneous Edge Computing
Federated learning has emerged as a distributed learning paradigm by training at each client and aggregating at a parameter server. System heterogeneity hinders stragglers from responding to the server in time...
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Research on General-Purpose Brain-Inspired Computing Systems
Brain-inspired computing is a new technology that draws on the principles of brain science and is oriented to the efficient development of artificial general intelligence (AGI), and a brain-inspired computing ...
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Minimal Context-Switching Data Race Detection with Dataflow Tracking
Data race is one of the most important concurrent anomalies in multi-threaded programs. Emerging constraint- based techniques are leveraged into race detection, which is able to find all the races that can be ...
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Missing link prediction using path and community information
Due to the evolving nature of complex networks, link prediction plays a crucial role in exploring likelihood of potential relationships among nodes. There exist a great number of strategies to apply the simila...
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An Online Algorithm Based on Replication for Using Spot Instances in IaaS Clouds
Infrastructure-as-a-Service (IaaS) cloud platforms offer resources with diverse buying options. Users can run an instance on the on-demand market which is stable but expensive or on the spot market with a sign...
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A novel optimization approach to topology checking of pipeline vector data in browser side
The topological relationship of spatial data is essential to GIS data processing and spatial analysis such as in analysis of pipe explosion in gas pipeline network. The existing browser-side JavaScript topolog...
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SMEC: Scene Mining for E-Commerce
Scene-based recommendation has proven its usefulness in E-commerce, by recommending commodities based on a given scene. However, scenes are typically unknown in advance, which necessitates scene discovery for ...
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Feature reduction of unbalanced data classification based on density clustering
With the development of big data, the problem of imbalanced data sets is becoming more and more serious. When dealing with high-dimensional imbalanced datasets, traditional classification algorithms usually te...
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Erratum to: CA-DTS: A Distributed and Collaborative Task Scheduling Algorithm for Edge Computing Enabled Intelligent Road Network
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Characterization of Exact One-Query Quantum Algorithms for Partial Boolean Functions
The query model (or black-box model) has attracted much attention from the communities of both classical and quantum computing. Usually, quantum advantages are revealed by presenting a quantum algorithm that h...
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Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy
Local differential privacy (LDP) approaches to collecting sensitive information for frequent itemset mining (FIM) can reliably guarantee privacy. Most current approaches to FIM under LDP add “padding and sampl...
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A fast and accurate coupled meshless algorithm for the 2D/3D Gross–Pitaevskii equations on two GPUs
This paper first presents a high-efficient and accurate coupled meshless algorithm for solving the multi-dimensional Gross–Pitaevskii equation (GPE) in unbounded domain, which is implemented on CUDA-program-ba...
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Ethereum fraud behavior detection based on graph neural networks
Since Bitcoin was first conceived in 2008, blockchain technology has attracted a large amount of researchers’ attention. At the same time, it has also facilitated a variety of cybercrimes. For example, Ethereu...
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Relevance-aware graph neural network for session-based recommendation
Session-based recommendation aims to predict the next item a user may interact with based on sessions’ information. Most existing session-based recommendation models only rely on the information of item-to-ite...
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Parallel Bounded Search for the Maximum Clique Problem
Given an undirected graph, the Maximum Clique Problem (MCP) is to find a largest complete subgraph of the graph. MCP is NP-hard and has found many practical applications. In this paper, we propose a parallel B...
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Model Checking for Probabilistic Multiagent Systems
In multiagent systems, agents usually do not have complete information of the whole system, which makes the analysis of such systems hard. The incompleteness of information is normally modelled by means of acc...
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Path-Based Multicast Routing for Network-on-Chip of the Neuromorphic Processor
Network-on-Chip (NoC) is widely adopted in neuromorphic processors to support communication between neurons in spiking neural networks (SNNs). However, SNNs generate enormous spiking packets due to the one-to-...
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Top-down Text-Level Discourse Rhetorical Structure Parsing with Bidirectional Representation Learning
Early studies on discourse rhetorical structure parsing mainly adopt bottom-up approaches, limiting the parsing process to local information. Although current top-down parsers can better capture global informa...