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Published in 2018 at "ACS Catalysis"
DOI: 10.1021/acscatal.8b01708
Abstract: Catalysis informatics is a distinct subfield that lies at the intersection of cheminformatics and materials informatics but with distinctive challenges arising from the dynamic, surface-sensitive, and multiscale nature of heterogeneous catalysis. The ideas behind catalysis…
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Keywords:
knowledge data;
extracting knowledge;
catalysis informatics;
catalysis ... See more keywords
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Published in 2023 at "Conservation Physiology"
DOI: 10.1093/conphys/coac080
Abstract: Estimates of how much energy a female needs to reproduce successfully are required to understand the impact of environmental perturbations on marine mammal populations. We review the state of knowledge and data availability on reproductive…
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Keywords:
knowledge data;
bioenergetic models;
data availability;
marine mammal ... See more keywords
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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3387538
Abstract: Knowledge and data dual-driven (KDDD) represents a novel paradigm that leverages the strengths of data-driven methods in feature representation and knowledge transfer, while also incorporating expertise accumulated by domain experts. This integration allows KDDD methods…
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Keywords:
data dual;
knowledge;
survey;
dual driven ... See more keywords
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Published in 2022 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2021.3095849
Abstract: The wastewater treatment process (WWTP), including multiple operation conditions, is a complex industrial process with strong nonlinearity and time-varying dynamics. It is a challenge to design an effective controller for this kind of process. To…
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Keywords:
control;
knowledge;
data driven;
flexible switching ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3574906
Abstract: Large-scale integration of plug-in electric vehicles (PEVs) will impact the planning and operation of power systems. Accurately identifying PEVs serves as a crucial prerequisite for the establishment of charging station infrastructure. Existing methods for PEV…
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Keywords:
data dual;
dual driven;
model;
identification ... See more keywords
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Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3209382
Abstract: Embedding is a common technique for analyzing multi-dimensional data. However, the embedding projection cannot always form significant and interpretable visual structures that foreshadow underlying data patterns. We propose an approach that incorporates human knowledge into…
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Keywords:
human knowledge;
improve pattern;
embeddings improve;
data embeddings ... See more keywords
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Published in 2017 at "Open Mathematics"
DOI: 10.1515/math-2017-0094
Abstract: Abstract Critical Infrastructures in public administration would be compromised by Advanced Persistent Threats (APT) which today constitute one of the most sophisticated ways of stealing information. This paper presents an effective, learning based tool that…
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Keywords:
persistent threats;
knowledge data;
data analysis;
expert knowledge ... See more keywords
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Published in 2025 at "Journal of Pain Research"
DOI: 10.2147/jpr.s506509
Abstract: Purpose Data privacy and cybersecurity should both be seriously considered for all devices that interact with our patients. There is little education of patients and clinicians about the cybersecurity and privacy of implanted medical devices,…
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Keywords:
data privacy;
survey;
privacy;
privacy cybersecurity ... See more keywords