Results 281 to 290 of about 812,194 (338)
Phantom Objectivity: Intersubjective Knowledge in Complex Domains of Informal Structure
Jorge Rodas-Osollo, Karla Olmos-Sánchez
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Multiple Twinning in Nacre and Aragonite
Advanced Functional Materials, EarlyView.Electron backscatter diffraction map of a cluster of geologic aragonite, exhibiting single, double, and triple twins. The whole cluster is approximately 2 cm wide. Colors indicate crystal orientations, so that pixels where the a‐, b‐, and c‐axis is perpendicular to the image plane are green, red, and blue, respectively.
Connor A. Schmidt +7 more
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Applied legal epistemology. Building a knowledge-based ontology of the legal domain
, 2002 Laurens Mommers
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Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation
IEEE Transactions on Knowledge and Data Engineering, 2023Recommender system can provide users with the required information accurately and efficiently, playing a very important role in improving users’ life experience.
Jia Liu +4 more
semanticscholar +1 more source
Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge
IEEE transactions on circuits and systems for video technology (Print), 2022Multimodal emotion recognition in conversational videos (ERC) develops rapidly in recent years. To fully extract the relative context from video clips, most studies build their models on the entire dialogues which make them lack of real-time ERC ability.
Ke Zhang +4 more
semanticscholar +1 more source
IEEE Transactions on Medical Imaging, 2021
In recent years, deep learning has been widely used in breast cancer diagnosis, and many high-performance models have emerged. However, most of the existing deep learning models are mainly based on static breast ultrasound (US) images.
Chen Chen +5 more
semanticscholar +1 more source
In recent years, deep learning has been widely used in breast cancer diagnosis, and many high-performance models have emerged. However, most of the existing deep learning models are mainly based on static breast ultrasound (US) images.
Chen Chen +5 more
semanticscholar +1 more source
Domain Knowledge-Based Deep-Broad Learning Framework for Fault Diagnosis
IEEE transactions on industrial electronics (1982. Print), 2021Intelligent fault diagnosis is a vital role in smart manufacturing. And deep-learning-based fault diagnosis has become a hot topic due to its strong feature extraction ability. However, traditional deep-learning-based methods show two limitations. One is
Jian Feng, Yu Yao, Senxiang Lu, Yue Liu
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