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A Framework for Automated Abstraction Class Detection for Event Abstraction
Process mining enables companies to extract insights into the process execution from event data. Event data that are stored in information systems...
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Event abstraction in process mining: literature review and taxonomy
The execution of processes in companies generates traces of event data, stored in the underlying information system(s), capturing the actual...
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Reduction of Learning Time for Robots Using Automatic State Abstraction
The required learning time and curse of dimensionality restrict the applicability of Reinforcement Learning(RL) on real robots. Difficulty in...
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Performance Assessment of Modest Event-Based Rainfall-Runoff Model
A very simple and widely used SCS-CN method is a time-independent method that is used to calculate accumulated runoff corresponding to a single...
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Sustainability Communication of Fashion Brands on Social Media: Language Abstraction and Digital Customer Engagement
The aims of the study are threefold: (1) to examine the linguistic content of sustainability messages of the most valuable fashion brands on social...
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HDR and image abstraction framework for dirt free line drawing to convey the shapes from blatant range images
Due to the evolution of computer vision and non-photorealistic rendering (NPR) techniques, enhancements of image features from blatant range images...
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Event-Based Visual Tracking in Dynamic Environments
Visual object tracking under challenging conditions of motion and light can be hindered by the capabilities of conventional cameras, prone to...
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Analyzing Apache Storm as Core for an Event Processing Network Model
In this article, we apply a proposal for a list of generalized requirements for a unified modeling of event processing networks (EPNs) to Apache...
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A Hybrid Event Log Acquisition Technique in Distributed Systems
The increasing adoption of distributed systems has led to a growing need to understand and analyze user behavior in these environments. However,...
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ESpin: Analyzing Event-Driven Systems in Model Checking
Multiple occurrences of the events make the behaviors of an event-driven system usually less logical and explicit. Thus, an event-driven system is...
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Automated Transformation of IoT Systems Models into Event-B Specifications
Develo** Internet of Things systems without the benefit of a standard is a difficult process. In this regard, we propose to describe Internet of...
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Abstraction of Activity Diagram from Sequence Diagram
In the recent past unified modeling language has gained popularity for its use in the software industry of the design of software systems. The UML...
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Attention mechanism combined with residual recurrent neural network for sound event detection and localization
In the task of sound event detection and localization (SEDL) in a complex environment, the acoustic signals of different events usually have...
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SAT modulo discrete event simulation applied to railway design capacity analysis
This paper proposes a new method of combining SAT with discrete event simulation. This new integration proved useful for designing a solver for...
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The application of the statistical model and radial basis function neural network for the diagnosis of discrete event systems under temporal constraints
In recent years, researchers have significantly focused on develo** and improving the monitoring tools for industrial systems, which has resulted...
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Auto-calibration of HEC-HMS Model for Historic Flood Event under Rating Curve Uncertainty. Case Study: Allala Watershed, Algeria
Flow simulation and forecasting accuracy using rainfall-runoff models is one of the main challenges in hydrological modelling, especially when...
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Cloud-based event-triggered leader-follower quasi-bipartite consensus of stochastic multi-agent systems under mixed attacks
This paper addresses the problem of leader-follower quasi-bipartite consensus (LFQBC) over the finite-horizon for discrete-time time-varying...
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An Event Relation Extraction Model for Database Alarm Based on Type-Guided Graph Attention Network and CNN
Event relation extraction is a fundamental task in event knowledge graph. However, most existing models fail to use the dependency-type knowledge in...
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Knowledge Bases Engineering Based on Event Trees Transformations: A Case Study for Aircraft Diagnostics
The problem of improving the efficiency and quality of software development for AI systems, including knowledge bases, remains relevant. In this...
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Event-Triggered Dynamic Output Feedback Control for Genetic Regulatory Network Systems
This paper investigates the problem of dynamic output feedback control for a class of genetic regulatory network systems. A novel event-triggered...
