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Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6783-4_19
Abstract: Data-independent acquisition mass spectrometry (DIA-MS) strategies and applications provide unique advantages for qualitative and quantitative proteome probing of a biological sample allowing constant sensitivity and reproducibility across large sample sets. These advantages in LC-MS/MS are…
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Keywords:
data independent;
mass spectrometry;
data knowledge;
knowledge ... See more keywords
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Published in 2021 at "Results in Physics"
DOI: 10.1016/j.rinp.2021.104639
Abstract: In this work, the partitioning clustering of COVID-19 data using c-Means (cM) and Fuzy c-Means (Fc-M) algorithms is carried out. Based on the data available from January 2020 with respect to location, i.e., longitude and…
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Keywords:
using means;
covid data;
data knowledge;
clustering covid ... See more keywords
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Published in 2020 at "Big data"
DOI: 10.1089/big.2020.0140
Abstract: While recent debate recognizes the importance of big data (BD) and knowledge management (KM) in firm performance, there has been a paucity of literature regarding big data analytics technological (BDAT) and knowledge exploration-exploitation capabilities (KEEC)…
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Keywords:
big data;
data knowledge;
knowledge;
knowledge management ... See more keywords
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Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac091
Abstract: OBJECTIVE While the use of medical scribes is rapidly increasing, there are not widely accepted standards for their training and duties. Because they use electronic health record systems to support providers, inadequately trained scribes can…
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Keywords:
training;
data knowledge;
medical scribes;
knowledge ... See more keywords
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Published in 2017 at "IEEE pervasive computing"
DOI: 10.1109/mprv.2017.29
Abstract: The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) is enabling the collection of high-frequency mobile sensor data for the development and validation of novel multisensory biomarkers and sensor-triggered interventions.
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Keywords:
sensor data;
data knowledge;
excellence mobile;
center excellence ... See more keywords
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Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2023.3306355
Abstract: In the context of Pharma 4.0, i.e., the pharmaceutical version of Industry 4.0, pharmaceutical quality control (PQC) for a pharmaceutical cyber-physical system (PCPS) plays a critical role in ensuring the quality of drug products during…
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Keywords:
quality control;
knowledge;
cyber physical;
pharmaceutical cyber ... See more keywords
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Published in 2025 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2025.3613712
Abstract: Abductive reasoning seeks the likeliest possible explanation for partial observations. Although being frequently employed in human daily reasoning, abduction is rarely explored in computer vision literature. In this article, we propose a new task, Visual…
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Keywords:
knowledge;
visual abductive;
abductive reasoning;
knowledge driven ... See more keywords
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Published in 2024 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2024.3443996
Abstract: Multiobjective optimal control (MOC) optimize multiple performance indices of nonlinear systems to obtain setpoints, and design the controller to track the setpoints. However, if the feasibility of the controller is not considered, untraceable setpoints may…
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Keywords:
control;
optimal control;
performance;
knowledge driven ... See more keywords
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Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2023.3316197
Abstract: Automatic modulation classification (AMC) is of crucial importance in the sixth generation wireless communication networks. Deep learning (DL)-based AMC schemes have attracted extensive attention due to their superior accuracy compared with the conventional methods. However,…
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Keywords:
classification;
automatic modulation;
knowledge dual;
knowledge ... See more keywords
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Published in 2024 at "Geology"
DOI: 10.1130/g52970.1
Abstract: Mineral prospectivity mapping (MPM) is recognized as an essential tool for targeting new mineral deposits. MPM typically comprises two end-member approaches: knowledge-driven and data-driven. Knowledge-driven MPM relies on expert knowledge, which is based on causal…
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Keywords:
knowledge dual;
dual driven;
driven model;
data driven ... See more keywords
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Published in 2025 at "Frontiers in Nutrition"
DOI: 10.3389/fnut.2024.1503389
Abstract: Introduction Contemporary data and knowledge management and exploration are challenging due to regular releases, updates, and different types and formats. In the food and nutrition domain, solutions for integrating such data and knowledge with respect…
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Keywords:
food;
management system;
knowledge;
data knowledge ... See more keywords