Articles with "intelligent data" as a keyword



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Home Sports Intelligent Data Simulation Based on RDMA Read Mechanism of High Performance Computing System

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Published in 2021 at "Microprocessors and Microsystems"

DOI: 10.1016/j.micpro.2021.104060

Abstract: Abstract Home games are one of the most essential to improve and ensure another quality. To do this, fix the mistake utilizing an innovation called RDMA and make it. Distant memory is utilized to move… read more here.

Keywords: sports intelligent; home; intelligent data; innovation ... See more keywords
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Short-Term (6 Weeks) Experience of a Modular Workcell for Hemostasis Testing Including an Intelligent Data Manager at a Tertiary Care Hospital.

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Published in 2023 at "Laboratory medicine"

DOI: 10.1093/labmed/lmac156

Abstract: OBJECTIVE Modular workcells could be a better solution than total laboratory automation (TLA) in hemostasis laboratories. Here, we evaluated the impact of implementing a modular workcell (HemoCell) with an intelligent data management facility (HemoHub). METHODS… read more here.

Keywords: intelligent data; hemocell; hemostasis; modular ... See more keywords
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Intelligent Data Delivery Approach for Smart Cities Using Road Side Units

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2943013

Abstract: Smart city progress from classical homogenous technologies with limited facility to heterogeneous interconnected network with immense capabilities. Furthermore, there is a good concern in expanding the scope of application in the smart city. The primary… read more here.

Keywords: side units; smart city; intelligent data; road side ... See more keywords
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An Intelligent MT Data Inversion Method With Seismic Attribute Enhancement

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3245589

Abstract: Magnetotelluric (MT) data inversion reconstructs an electrical resistivity structure most compatible with the observed MT data, and static correction can remove the undesired static shift effect in MT data. Conventional MT data static shift correction… read more here.

Keywords: intelligent data; inversion; data static; inversion method ... See more keywords
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A Qualitative Study of Clinical Teachers' Expectations for the Role of Nursing Postgraduates Based on Intelligent Data Analysis

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Published in 2022 at "Computational and Mathematical Methods in Medicine"

DOI: 10.1155/2022/1414641

Abstract: Objective To deeply understand the role expectation of clinical teachers for nursing master's degree graduates and use the crowd portrait intelligent data analysis system to assist in enrollment. Methods Retrospective analysis was used to group… read more here.

Keywords: clinical teachers; intelligent data; role; group ... See more keywords
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Ecosphere Management Model of Farmer Cooperatives Based on Intelligent Data Sampling Technology

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/1549275

Abstract: In order to improve the operation effect of farmer cooperatives, this paper combines the intelligent data sampling technology to analyze the ecological circle operation mode of farmer cooperatives. Moreover, this paper strives to promote the… read more here.

Keywords: data sampling; intelligent data; farmer cooperatives; sampling technology ... See more keywords
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The Relationship between Sleep Quality and Hemodialysis and Nursing Intervention in Uremia Patients Based on Intelligent Data

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Published in 2022 at "BioMed Research International"

DOI: 10.1155/2022/3211144

Abstract: Uremia is a manifestation of end-stage renal failure and is a clinical syndrome shared by various advanced renal diseases. In recent years, the prevalence of uremia has been increasing. Maintenance hemodialysis therapy is used as… read more here.

Keywords: relationship sleep; intelligent data; quality; sleep quality ... See more keywords
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INTELLIGENT DATA ANALYSIS IN BIOMEDICAL RESEARCH: CONVOLUTIONAL ARTIFICIAL NEURAL NETWORKS

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Published in 2021 at "Human Ecology"

DOI: 10.33396/1728-0869-2021-5-53-64

Abstract: Convolutional neural networks are one of the modern tools that allow medical research to analyze and recognize not just a set of data about the objects under study or patients, but to use an image… read more here.

Keywords: data analysis; neural networks; medical research; convolutional neural ... See more keywords
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Exploration of Q-Marker of Rhubarb Based on Intelligent Data Processing Techniques and the AUC Pooled Method

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Published in 2022 at "Frontiers in Pharmacology"

DOI: 10.3389/fphar.2022.865066

Abstract: Rhubarb, as a traditional Chinese medicine, has several positive therapeutic effects, such as purging and attacking accumulation, clearing heat and purging fire, cooling blood, and detoxification. Recently, Rhubarb has been used in prescriptions for the… read more here.

Keywords: intelligent data; marker; rhubarb; auc pooled ... See more keywords