—With the rapid development of technology and the acceleration of digitalisation, the frequency and complexity of cyber security threats are increasing. Traditional cybersecurity approaches, often based on static rul...
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Our research develops a framework for modeling and virtualizing cultural heritage using a game-based method. Our approach to preserve culture and keep it alive in a meaningful and engaging context adopts a multi-modal...
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Non-Intrusive Load Monitoring (NILM) is a technique used for identifying individual appliances' energy consumption from a household's total power usage. This study examines a novel energy disaggregation model ...
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In many modem enterprises, explicit business process definitions facilitate the pursuit of business goals in such ways as best practice reuse, process analysis, process efficiency improvement, and automation. Most rea...
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ISBN:
(纸本)9783540782377
In many modem enterprises, explicit business process definitions facilitate the pursuit of business goals in such ways as best practice reuse, process analysis, process efficiency improvement, and automation. Most real-world business processes are large and complex. Successfully capturing, analysing, and automating these processes requires process definition languages that capture a variety of process aspects with a wealth of details. Most current process modeling languages, such as Business Process Modeling Notation (BPMN), focus on structural control flows among activities while providing inadequate support for other process definition needs. In this paper, we first illustrate these inadequacies through our experiences with a collection of real-world reference business processes from the Australian lending industry. We observe that the most significant inadequacies include lack of resource management, exception handling, process variation, and data flow integration. These identified shortcomings led us to consider the Little-JIL language as a vehicle for defining business processes. Little-JIL addresses the aforementioned inadequacies with a number of innovative features. Our investigation concludes that these innovative features are effective in addressing a number of key reference business process definition needs.
RANSAC (RANdom SAmple Consensus) is a popular approach for robust model parameter estimation and data point filtering from noise or outlier contaminated data. In a repeating hypothesize-and-verify procedure, RANSAC se...
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Federated learning has a great potential to create solutions working over different sources without data transfer. However current federated methods are not explainable nor auditable. In this paper we propose a Federa...
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With the advent of Bitcoin, the blockchain as the underlying technology of Bitcoin has entered people's field of vision. In recent years, the blockchain and its related technologies have developed rapidly. The con...
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A rapid technology change has significant opportunities for almost every industry, especially for healthcare. By using advanced network technologies and Internet of Medical Things (IoMT) devices, health professionals ...
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In recent years, remote fetal monitoring has become more and more popular, and it has also brought many challenges. Fetal heart rate records are generally recorded by pregnant women using a fetal monitor at home. Due ...
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People of all ages can contract pneumonia, a deadly respiratory illness that is more common in underdeveloped countries. For successful treatment and higher survival rates, pneumonia must be accurately and quickly dia...
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