Articles with "using optimized" as a keyword



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Analysis of solar and wind energy installations at electric vehicle charging stations in a region in Brazil and their impact on pricing using an optimized sale price model

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Published in 2020 at "International Journal of Energy Research"

DOI: 10.1002/er.6269

Abstract: Electric vehicles are becoming more popular in the automobile sector since questions about the environment and quality of life have become increasingly important. New ways of commercializing energy should be regulated, like the sale prices… read more here.

Keywords: energy; methodology; region; using optimized ... See more keywords
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Multi‐scale decomposition‐based CT‐MR neurological image fusion using optimized bio‐inspired spiking neural model with meta‐heuristic optimization

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Published in 2021 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22575

Abstract: Multi‐modal medical image fusion plays an important role in clinical diagnosis and works as an assistance model for clinicians. In this paper, a computed tomography‐magnetic resonance (CT‐MR) image fusion model is proposed using an optimized… read more here.

Keywords: image; model; optimization; fusion ... See more keywords
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Highly‐accelerated volumetric brain examination using optimized wave‐CAIPI encoding

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Published in 2019 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.26678

Abstract: Rapid volumetric imaging protocols could better utilize limited scanner resources. read more here.

Keywords: brain examination; examination using; volumetric brain; accelerated volumetric ... See more keywords
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Hyperspectral and Multispectral Image Fusion Using Optimized Twin Dictionaries

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Published in 2020 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2020.2968773

Abstract: Spectral or spatial dictionary has been widely used in fusing low-spatial-resolution hyperspectral (LH) images and high-spatial-resolution multispectral (HM) images. However, only using spectral dictionary is insufficient for preserving spatial information, and vice versa. To address… read more here.

Keywords: using optimized; fusion; optimized twin; twin dictionaries ... See more keywords
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Detecting geospatial patterns of Plasmodium falciparum parasite migration in Cambodia using optimized estimated effective migration surfaces

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Published in 2020 at "International Journal of Health Geographics"

DOI: 10.1186/s12942-020-00207-3

Abstract: Understanding the genetic structure of natural populations provides insight into the demographic and adaptive processes that have affected those populations. Such information, particularly when integrated with geospatial data, can have translational applications for a variety… read more here.

Keywords: effective migration; estimated effective; migration; migration surfaces ... See more keywords
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High Level Production of Monoclonal Antibodies Using an Optimized Plant Expression System

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Published in 2019 at "Frontiers in Bioengineering and Biotechnology"

DOI: 10.3389/fbioe.2019.00472

Abstract: Biopharmaceuticals are a large and fast-growing sector of the total pharmaceutical market with antibody-based therapeutics accounting for over 100 billion USD in sales yearly. Mammalian cells are traditionally used for monoclonal antibody production, however plant-based… read more here.

Keywords: production; plant; monoclonal antibodies; antibody ... See more keywords
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Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning

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Published in 2023 at "International Journal of Environmental Research and Public Health"

DOI: 10.3390/ijerph20043455

Abstract: It is of great interest to develop and introduce new techniques to automatically and efficiently analyze the enormous amount of data generated in today’s hospitals, using state-of-the-art artificial intelligence methods. Patients readmitted to the ICU… read more here.

Keywords: intensive care; care unit; readmission; unit early ... See more keywords
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Hepatitis diagnosis using optimized KD-Trees and Neural Networks

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Published in 2020 at "International journal of engineering research and technology"

DOI: 10.37624/ijert/13.9.2020.2269-2274

Abstract: This article uses two computational techniques to detect Hepatitis, an inflammatory disease that affects the liver. An evaluation of techniques to detect it is presented, including KD-Trees and Neural Networks. The results show that KDTrees… read more here.

Keywords: diagnosis using; optimized trees; neural networks; hepatitis diagnosis ... See more keywords