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Blockchain-based collaborative business process data sharing and access control
To solve the problems of large-scale data storage and reliable access control in blockchain-based collaborative business process executions with...
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A Novel Distributed Process Monitoring Framework of VAE-Enhanced with Deep Neural Network
Intelligent manufacturing process needs to adopt distributed monitoring scenario due to its massive, high-dimensional and complex data. Distributed...
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Research on robot sewing method based on process modeling
At present, most clothing sewing relies on manual labor, and robot sewing has become a trend. However, different clothing styles have various sewing...
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An Accurate Collection Algorithm of Water Drinking Data in Complex Process with Multiple Actions
The habit of drinking water is essential for the body health. Kee** healthy must maintain water balance. In order to obtain the specific water...
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Defining a Secure Software Process
Many organizations take the view that features are the most important delivery and with limited time and resources, this becomes the focus. At the...
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BAnDIT: Business Process Anomaly Detection in Transactions
Business process anomaly detection enables the prevention of misuse and failures. Existing approaches focus on detecting anomalies in control,...
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Deep Hawkes process for high-frequency market making
High-frequency market making is a liquidity-providing trading strategy that simultaneously generates many bids and asks for a security at ultra-low...
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Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review
Process fault detection and diagnosis (FDD) is a predominant task to ensure product quality and process reliability in modern industrial systems....
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TV-ALP: A log dataset of television assembly line production under multi-person collaboration for process mining research
Process mining technology has been widely used to optimize the processes of various organizations, especially in enterprises. It facilitates...
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IT Support for Process Management
Process management is often associated with IT tools. First and foremost, process management is a method of better understanding and continuously...
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A natural language querying interface for process mining
In spite of recent advances in process mining, making this new technology accessible to non-technical users remains a challenge. Process maps and...
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Two-Stage Multilayer Perceptron Hawkes Process
Many social activities can be described as asynchronous discrete event sequences, such as traffic accidents, medical care, financial transactions,...
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Design-time business process compliance assessment based on multi-granularity semantic information
Business process compliance is an essential part of business process management, which saves organizations from penalties caused by non-compliant...
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Predictive Monitoring of Business Process Execution Delays
Nowadays, organizations are becoming increasingly aware of the importance of better utilizing their knowledge assets and adopting a quality...
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Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity
With the development of the industrial cyber-physical systems, a small amount of labeled data and a large amount of unlabeled data are collected from...
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An accurate flexible process planning using an adaptive genetic algorithm
The increasing demand for products and services due to globalization has quickly increased through the years. Under such circumstances, the...
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Randomized self-updating process for clustering large-scale data
This paper introduces the randomized self-updating process (rSUP) algorithm for clustering large-scale data. rSUP is an extension of the...
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Artificial neural network-based optimization of operating parameters for minimum quantity lubrication-assisted burnishing process in terms of surface characteristics
Roller burnishing is an alternative approach to enhance surface properties under plastic deformation and most investigations focused on optimizing...
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Augmented reality and deep learning based system for assisting assembly process
In Industry 4.0, manufacturing entails a rapid change in customer demands which leads to mass customization. The variation in customer requirements...
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EPASAD: ellipsoid decision boundary based Process-Aware Stealthy Attack Detector
Due to the importance of Critical Infrastructure (CI) in a nation’s economy, they have been lucrative targets for cyber attackers. These critical...
