What type of domain knowledge is cited by articles with high interdisciplinary degree?
Sign Up to like & getrecommendations! Published in 2018 at "Proceedings of the Association for Information Science and Technology"
DOI: 10.1002/pra2.2018.14505501176
Abstract: Interdisciplinary studies require integration of principles, theories and practices from multiple disciplines. What type of domain knowledge will be applied more in such researches? Since scientific paradigms differ in fields, this paper takes computer science… read more here.
Keywords: knowledge; type domain; domain knowledge; interdisciplinary degree ... See more keywords
Role of search for domain knowledge and architectural knowledge in alliance partner selection
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DOI: 10.1002/smj.2791
Abstract: Research Summary: The literature on technological alliances emphasizes that search for knowledge drives alliance formation. However, in conceptualizing technological knowledge, prior work on alliances has not made a distinction between domain knowledge—knowledge that firms possess… read more here.
Keywords: architectural knowledge; knowledge; alliance; technological fields ... See more keywords
Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-020-01646-2
Abstract: The machining processes on the advanced machining workshop floor are becoming more sophisticated with the interdependent intrinsic processes, generation of ever-increasing in-process data and machining domain knowledge. To manage and utilize those above effectively, an… read more here.
Keywords: industrial dataspace; knowledge; case studies; domain knowledge ... See more keywords
At the interface between domain knowledge and statistical sampling theory: Conditional distribution based sampling for environmental survey (CODIBAS)
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DOI: 10.1016/j.catena.2019.104423
Abstract: Abstract In environmental research, there is an extensive knowledge of the underlying processes that cause a distinct spatial landscape pattern of system properties. Statistical sampling theory deals with how a dataset must be constructed that… read more here.
Keywords: statistical sampling; domain knowledge; environmental survey; sampling theory ... See more keywords
DOKI: Domain knowledge-driven inference method for reverse-engineering transcriptional regulatory relationships among genes in cancer
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.104017
Abstract: Efficient reverse-engineering methods are important for identifying transcriptional regulatory relationships among genes in cancer. These methods are becoming increasingly useful in this era where huge volumes of data are generated through the use of high-throughput… read more here.
Keywords: relationships among; regulatory relationships; domain knowledge; transcriptional regulatory ... See more keywords
Video smoke detection with domain knowledge and transfer learning from deep convolutional neural networks
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DOI: 10.1016/j.ijleo.2021.166947
Abstract: Abstract Video smoke detection (VSD) is a prospective and effective solution for fire detection in spacious buildings and forests. Most of the deep learning based VSD model are end-to-end models, and the intrinsical knowledge of… read more here.
Keywords: smoke; transfer learning; domain knowledge; smoke detection ... See more keywords
The role of science domain knowledge and reading motivation in predicting informational and narrative reading comprehension in L1 and L2: An international study
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DOI: 10.1016/j.lindif.2019.101782
Abstract: Abstract Using international large-scale datasets, this study investigated the role of science domain knowledge and reading motivation in L1 and L2 reading comprehension of informational and narrative text in fourth-grade students in five countries. The… read more here.
Keywords: reading comprehension; domain knowledge; science domain;
A survey on incorporating domain knowledge into deep learning for medical image analysis
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DOI: 10.1016/j.media.2021.101985
Abstract: Although deep learning models like CNNs have achieved great success in medical image analysis, the small size of medical datasets remains a major bottleneck in this area. To address this problem, researchers have started looking… read more here.
Keywords: deep learning; domain knowledge; medical image; image analysis ... See more keywords
Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac212
Abstract: Abstract Objective This study aims to develop a convolutional neural network-based learning framework called domain knowledge-infused convolutional neural network (DK-CNN) for retrieving clinically similar patient and to personalize the prediction of macrovascular complication using the… read more here.
Keywords: neural network; domain knowledge; complication; similar patients ... See more keywords
Robotic Information Gathering With Reinforcement Learning Assisted by Domain Knowledge: An Application to Gas Source Localization
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DOI: 10.1109/access.2021.3052024
Abstract: Gas source localization tackles the problem of finding leakages of hazardous substances such as poisonous gases or radiation in the event of a disaster. In order to avoid threats for human operators, autonomous robots dispatched… read more here.
Keywords: gas; source localization; reinforcement learning; gas source ... See more keywords
Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge
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DOI: 10.1109/access.2022.3162827
Abstract: Deep learning has enabled the rapid expansion of computer vision tasks from image frames to video segments. This paper focuses on the review of the latest research in the field of computer vision tasks in… read more here.
Keywords: domain knowledge; computer vision; deep learning; learning ... See more keywords