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Heterogeneous graph neural network with graph-data augmentation and adaptive denoising
Heterogeneous graphs are especially important in our daily life, which describe objects and their connections through nodes and edges. For this...
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DialGNN: Heterogeneous Graph Neural Networks for Dialogue Classification
Dialogue systems have attracted growing research interests due to its widespread applications in various domains. However, most research work focus...
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Meta-path automatically extracted from heterogeneous information network for recommendation
Heterogeneous information networks have been proven to effectively improve recommendations due to their diverse information content. However, there...
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Reliability Scheduling Algorithm for Heterogeneous Multi-verified Time Systems
Heterogeneous multi-core systems are widely used in various real-time scheduling systems because of their high performance and low energy...
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LATA: learning automata-based task assignment on heterogeneous cloud computing platform
A cloud computing environment is a distributed system where idle resources are accessible across a wide area network, such as the Internet. Due to...
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Medicinal plants recognition using heterogeneous leaf features: an intelligent approach
In this research, an intelligent approach for the identification of Indian medicinal plant leaves is presented. Herein, heterogeneous features...
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Optimization for energy-aware design of task scheduling in heterogeneous distributed systems: a meta-heuristic based approach
The motivation of task scheduling in heterogeneous computing systems is the optimal management of heterogeneous distributed resources as well as the...
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A Lightweight Neural Learning Algorithm for Real-Time Facial Feature Tracking System via Split-Attention and Heterogeneous Convolution
Object tracking has made remarkable progress in the past few years. But most advanced trackers are becoming more expensive, which limits their...
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Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network
Event detection (ED) seeks to recognize event triggers and classify them into the predefined event types. Chinese ED is formulated as a...
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Detection of Network Attacks in a Heterogeneous Industrial Network Based on Machine Learning
AbstractIssues of improving algorithms for detecting network attacks in a heterogeneous industrial Internet of Things network based on machine...
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A Heterogeneous Computing Framework for Accelerating Fully Homomorphic Encryption
In the digital age, privacy is increasingly important. The General Data Protection Regulation (GDPR) [22] lays out rules for how data is collected...
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A novel scheduling algorithm development and analysis for heterogeneous IoT protocol control system to achieve SCADA optimization: a next generation post covid solution
In this paper, a new intelligent message scheduling algorithm is designed for complex Internet of Things (IoT) systems where machine to machine (M2M)...
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QPU integration in OpenCL for heterogeneous programming
The integration of quantum processing units (QPUs) in a heterogeneous high-performance computing environment requires solutions that facilitate...
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Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal Clustering
Incomplete multi-modal clustering (IMmC) is challenging due to the unexpected missing of some modalities in data. A key to this problem is to explore...
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A scientific paper recommendation method using the time decay heterogeneous graph
Finding appropriate and relevant papers about a project in various digital libraries with millions of scientific papers is challenging for...
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Parallel Hybrid-Heterogeneous Single Value Decomposition Factorization
SVD factorization is a fundamental operation to solve problems in chemistry, biology, physics, and engineering. These problems are image processing,...
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Tasks Scheduling Through Hybrid Genetic Algorithm in Real-Time System on Heterogeneous Environment
The tasks scheduling issue on parallel processors in real-time system is part of the NP-hard issues. This manuscript developed a model for solving...
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DCU-CHK: checkpointing for large-scale CPU-DCU heterogeneous computing systems
By utilizing the superior computing power of accelerators, heterogeneous architectures have become increasingly popular in high-performance computing...
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Data protection in heterogeneous big data systems
Modern Big Data systems are notable for their scale and, often, their distributed organization. A feature of a number of Big Data systems is the use...
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Multimodal heterogeneous graph convolutional network for image recommendation
To improve the efficiency of the connection between people and information in specific scenarios, recent work has focused on mining user preferences...
