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Temporal validity reassessment: commonsense reasoning about information obsoleteness
It is useful for machines to know whether text information remains valid or not for various applications including text comprehension, story...
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Temporal Natural Language Inference: Evidence-Based Evaluation of Temporal Text Validity
It is important to learn whether text information remains valid or not for various applications including story comprehension, information retrieval,...
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Maintaining temporal validity of real-time data in component-based systems
How to schedule the sensor transactions to maintain the temporal validity of real-time data is an important research issue for cyber-physical...
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Linear Temporal Logic Specification of Bounded Counter Machines
AbstractThis article revises the results of work devoted to representing the behavior of a program system as a set of formulae of linear temporal...
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Temporal Contrast Sets Mining
Discovering discriminating features’ values that distinguish different data groups is vital for understanding the unique characteristics that define...
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A Spatial-Temporal Comparison of EV Charging Station Clusters Leveraging Multiple Validity Indices
Decoupling vehicles from the immediate consumption of fossil fuels introduces new opportunities in supporting sustainable mobility. Fostering a shift...
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Assessing the Temporal Validity of Design Knowledge
Design science research (DSR) aims to generate generalizable knowledge on how to design effective solutions to real-world problems. In some...
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Operationalizing validity of empirical software engineering studies
Empirical Software Engineering studies apply methods, like linear regression, statistic tests, or correlation analysis, to better understand software...
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Monitoring of spatio-temporal properties with nonlinear SAT solvers
The automotive industry is increasingly dependent on computing systems with different critical requirements. The verification and validation methods...
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Efficient Adaptive Spatial-Temporal Attention Network for Traffic Flow Forecasting
Urban traffic flow prediction is a challenging task in the field of intelligent transportation and spatio-temporal data analysis. Accurate prediction...
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A novel spatio-temporal hybrid neural network for remaining useful life prediction
Remaining useful life (RUL) prediction is a crucial mission for the prognostic and health management (PHM) of machinery equipment in modern industry....
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Working with Temporal Tables
Demos SQL Server system-versioned (or temporal) tables by showing how to create them, how to hide the validity period, and how to insert and modify...
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Clock-G: Temporal Graph Management System
Graphs are a ubiquitous data model for capturing entities and their relationships. Since most graphs that model real-world networks evolve over time,...
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Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion
Temporal knowledge graph completion (TKGC) is an important research task due to the incompleteness of temporal knowledge graphs. However, existing...
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Multiple stocks recommendation: a spatio-temporal hypergraph learning approach
Stocks do not exist in isolation in the financial markets, but there are complex relationships among them, which leads to the fluctuations in the...
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Temporal Graph Processing in Modern Memory Hierarchies
Updates in graph DBMS lead to structural changes in the graph over time with different intermediate states. These intermediate states in a DBMS and...
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Deep Video Harmonization by Improving Spatial-temporal Consistency
Video harmonization is an important step in video editing to achieve visual consistency by adjusting foreground appearances in both spatial and...
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STSD: spatial–temporal semantic decomposition transformer for skeleton-based action recognition
Skeleton-based human action recognition has attracted widespread interest, as skeleton data are extremely robust to changes in lighting, camera...
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RE-STNet: relational enhancement spatio-temporal networks based on skeleton action recognition
Learning comprehensive spatio-temporal joint connections in complex actions is crucial for recognizing skeleton sequence actions. However, existing...
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Visual analysis of air pollution spatio-temporal patterns
Advances in air monitoring methods have made it possible to analyze large-scale air pollution phenomena. Mining potential air pollution information...
