Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding [PDF]
Frontiers in Cardiovascular Medicine, 2023 BackgroundSegmentation of computed tomography (CT) is important for many clinical procedures including personalized cardiac ablation for the management of cardiac arrhythmias. While segmentation can be automated by machine learning (ML), it is limited by
Ruibin Feng +16 more
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Failure Identification Using Model-Implemented Fault Injection with Domain Knowledge-Guided Reinforcement Learning [PDF]
Sensors, 2023 The safety assessment of cyber-physical systems (CPSs) requires tremendous effort, as the complexity of cyber-physical systems is increasing. A well-known approach for the safety assessment of CPSs is fault injection (FI).
Mehrdad Moradi +2 more
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Medical domain knowledge in domain-agnostic generative AI. [PDF]
NPJ Digit Med, 2022 AbstractThe text-guided diffusion model GLIDE (Guided Language to Image Diffusion for Generation and Editing) is the state of the art in text-to-image generative artificial intelligence (AI). GLIDE has rich representations, but medical applications of this model have not been systematically explored.
Kather JN +3 more
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Elicitation of domain knowledge for a machine learning model for paediatric critical illness in South Africa [PDF]
Frontiers in Pediatrics, 2023 ObjectivesDelays in identification, resuscitation and referral have been identified as a preventable cause of avoidable severity of illness and mortality in South African children.
Michael A. Pienaar +4 more
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Domain Knowledge-Based Evolutionary Reinforcement Learning for Sensor Placement [PDF]
Sensors, 2022 Reducing pollutant detection time based on a reasonable sensor combination is desirable. Clean drinking water is essential to life. However, the water supply network (WSN) is a vulnerable target for accidental or intentional contamination due to its ...
Mingxuan Song +3 more
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Diachronic Analysis of Word Frequency in the First Document of Chinese Party Central Committee Based on People's Daily Corpus [PDF]
Nongye tushu qingbao xuebao, 2020 [Purpose/Significance] The aim of this study is to reveal the characteristics of our times of important words in the No. 1 Central Document, the first document issued by the Central Committee of the Communist Party of China every year.
HUANG Shuiqing, Wang Dongbo
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An Overview of Ontologies in Virtual Reality-Based Training for Healthcare Domain
Frontiers in Medicine, 2021 Virtual reality (VR) is one of the state-of-the-art technological applications in the healthcare domain. One major aspect of VR applications in this domain includes virtual reality-based training (VRT), which simplifies the complicated visualization ...
Ummul Hanan Mohamad +4 more
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DeepPIRATES: A Training-Light PIR-Based Localization Method With High Generalization Ability
IEEE Access, 2021 Pyroelectric infrared (PIR) sensors are much promising for device-free localization (DFL) due to their advantages of lower cost, low power consumption, and privacy protection.
Tianye Yang +4 more
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Improved Constrained k-Means Algorithm for Clustering with Domain Knowledge
Mathematics, 2021 Witnessing the tremendous development of machine learning technology, emerging machine learning applications impose challenges of using domain knowledge to improve the accuracy of clustering provided that clustering suffers a compromising accuracy rate ...
Peihuang Huang +4 more
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Mapping knowledge domains [PDF]
Proceedings of the National Academy of Sciences, 2004 The term “mapping knowledge domains” was chosen to describe a newly evolving interdisciplinary area of science aimed at the process of charting, mining, analyzing, sorting, enabling navigation of, and displaying knowledge. This field is aimed at easing information access, making evident the structure of knowledge, and allowing seekers of knowledge to ...
Richard M, Shiffrin, Katy, Börner
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