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Incremental model transformations with triple graph grammars for multi-version models and multi-version pattern matching
Like conventional software projects, projects in model-driven software engineering require adequate management of multiple versions of development...
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Enabling Live SPARQL Queries over ConceptNet Using Triple Pattern Fragments
We describe how we used a Triple Pattern Fragments (TPF) interface and the Comunica knowledge graph querying framework to enable live SPARQL queries...
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Attributed Triple Extraction by Combination Under Contrastive Learning
Complex knowledge extraction is a significant topic of research. Previous methodologies were limited to extracting only the overall relations among...
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Bidirectional network-based relational triple extraction with prior relation mechanism
Relational triple extraction is a fundamental task for extracting semantic information from unstructured text, which is also the cornerstone for...
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Triple confidence measurement in knowledge graph with multiple heterogeneous evidences
Knowledge graph (KG) is a representative technique of knowledge engineering, and it is often used in various intelligence applications, which assume...
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Anti-counterfeiting textured pattern
Due to the proliferation of high-quality copying devices and the significant profits of counterfeit products, it is critical to establish an...
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Adaptive sparse triple convolutional attention for enhanced visual question answering
In this paper, we propose ASTCAN, an adaptive sparse triple convolutional attention network, designed to enhance visual question answering (VQA) by...
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Energy efficient triple-modular exponential techniques for batch verification schemes
Most of the authentication protocols have modular multi-exponentiation (MME) as their core operation in the verification step. Triple modular-multi...
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A comprehensively improved local binary pattern framework for texture classification
Local binary pattern (LBP) has been widely studied for its remarkable texture feature extraction capabilities. A large number of LBP variants have...
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Extending the Quantitative Pattern-Matching Paradigm
We show how (well-established) type systems based on non-idempotent intersection types can be extended to characterize termination properties of...
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Early rumor detection method based on stage sampling and triple-relationship graph
To address the problem that the influence of rumor propagation stages is ignored in traditional rumor detection methods, an early rumor detection...
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Mining Rare Temporal Pattern in Time Series
Time series data from various domains is continuously growing, and extracting and analyzing temporal patterns within these series can provide...
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Textual Entailment for Effective Triple Validation in Object Prediction
Knowledge base population seeks to expand knowledge graphs with facts that are typically extracted from a text corpus. Recently, language models...
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Triple Tier Framework for Intellectual Edge Assisted Multicontroller Load Balancing in SDN
SDN is a new networking method that uses software controllers and physical infrastructure to guide network traffic. Due to its larger size, the...
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A Pattern Matching Based Framework for Quantum Circuit Rewriting
The realization of quantum algorithms relies on specific quantum compilations according to the underlying quantum processors. However, there are...
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GaitRA: triple-branch multimodal gait recognition with larger effective receptive fields and mixed attention
Gait Recognition, as a long-distance biometric technique for identity recognition, has attracted widespread attention in recent years. Previous...
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TUAF: Triple-Unit-Based Graph-Level Anomaly Detection with Adaptive Fusion Readout
Graph-level anomaly detection (GAD) has emerged as a significant research direction due to its practical application in diverse domains, such as...
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Triple-Wideband Antenna for RF Energy Harvesting
The article presents a triple-wideband antenna for microwave energy harvesting (EH) applications. The antenna works from 1.1 GHz to 1.4 GHz with...
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Joint relational triple extraction based on potential relation detection and conditional entity mapping
Joint relational triple extraction treats entity recognition and relation extraction as a joint task to extract relational triples, and this is a...
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Conjoined triple deep network for video anomaly detection
The video anomaly detection task typically involves identifying anomalous targets, behaviors, and events in surveillance using only normal samples....
