Articles with "proposed framework" as a keyword



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A Proposed Framework to Identify Dispensable and Essential Functions in Bifidobacteria: Case Study of Bifidobacterium breve UCC2003 as a Prototype of Its Genus.

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Published in 2022 at "Methods in molecular biology"

DOI: 10.1007/978-1-0716-1720-5_15

Abstract: Functional genomics of bacteria commonly aims at establishing genotype-phenotype links in microorganisms of industrial, technological and biomedical relevance. In this regard, random transposon mutagenesis coupled to high-throughput next-generation sequencing approaches, termed transposon-insertion sequencing (TIS), has… read more here.

Keywords: identify dispensable; dispensable essential; bifidobacterium; framework identify ... See more keywords
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Usage of autoencoders and Siamese networks for online handwritten signature verification

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Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3844-z

Abstract: In this paper, we propose a novel writer-independent global feature extraction framework for the task of automatic signature verification which aims to make robust systems for automatically distinguishing negative and positive samples. Our method consists… read more here.

Keywords: framework; usage autoencoders; signature verification; proposed framework ... See more keywords
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Learning framework of multimodal Gaussian-Bernoulli RBM handling real-value input data

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.10.018

Abstract: Abstract The conventional Gaussian–Bernoulli restricted Boltzmann machine (GBRBM), which is a RBM model for processing real-valued data, presumes single Gaussian distribution for learning real numbers. However, a single distribution is not able to effectively reflect… read more here.

Keywords: framework; gaussian bernoulli; rbm; proposed framework ... See more keywords
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Back to basics for curricular development: A proposed framework for thinking about how interprofessional learning occurs.

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Published in 2021 at "Journal of interprofessional care"

DOI: 10.1080/13561820.2021.1897002

Abstract: The persistent difficulty of defining the mechanisms of interprofessional learning that can lead to collaborative behavior poses a challenge to evidence-based curricular design. To begin the process of building a framework for curricular development we… read more here.

Keywords: framework; interprofessional learning; curricular development; proposed framework ... See more keywords
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Computer-assisted framework for machine-learning–based delineation of GTV regions on datasets of planning CT and PET/CT images

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Published in 2017 at "Journal of Radiation Research"

DOI: 10.1093/jrr/rrw082

Abstract: We have proposed a computer-assisted framework for machine-learning–based delineation of gross tumor volumes (GTVs) following an optimum contour selection (OCS) method. The key idea of the proposed framework was to feed image features around GTV… read more here.

Keywords: framework; machine learning; gtv regions; proposed framework ... See more keywords
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Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks

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Published in 2021 at "Physical review. E"

DOI: 10.1103/physreve.103.033303

Abstract: Understanding complex systems with their reduced model is one of the central roles in scientific activities. Although physics has greatly been developed with the physical insights of physicists, it is sometimes challenging to build a… read more here.

Keywords: conservation law; deep neural; conservation; proposed framework ... See more keywords
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BrIM and UAS for bridge inspections and management

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Published in 2019 at "Engineering, Construction and Architectural Management"

DOI: 10.1108/ecam-12-2018-0556

Abstract: The purpose of this paper is to develop a novel and systematic framework for bridge inspection and management to improve the efficiency in current practice.,A new framework that implements camera-based unmanned aerial systems (UASs) with… read more here.

Keywords: bridge inspection; framework; bridge; management ... See more keywords
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Exploiting Ontology Recommendation Using Text Categorization Approach

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2020.3047364

Abstract: Semantic Web is considered as the backbone of web 3.0 and ontologies are an integral part of the Semantic Web. Though an increase of ontologies in different domains is reported due to various benefits which… read more here.

Keywords: ontology recommendation; text categorization; ontology; proposed framework ... See more keywords
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EnDL-HemoLyt: Ensemble Deep Learning-based Tool for Identifying Therapeutic Peptides with Low Hemolytic Activity.

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Published in 2023 at "IEEE journal of biomedical and health informatics"

DOI: 10.1109/jbhi.2023.3264941

Abstract: Low hemolytic therapeutic peptides have gained an edge over small molecule-based medicines. However, finding low hemolytic peptides in laboratory is time-consuming, costly and necessitates the use of mammalian red blood cells. Therefore, wet-lab researchers often… read more here.

Keywords: therapeutic peptides; low hemolytic; proposed framework; learning ... See more keywords
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Quadcopter Trajectory Tracking in the Presence of 4 Faulty Actuators: A Nonlinear MHE and MPC Approach

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Published in 2022 at "IEEE Control Systems Letters"

DOI: 10.1109/lcsys.2021.3137099

Abstract: This letter proposes an Active Fault Tolerant Control (AFTC) framework for a quadcopter Unmanned Aerial Vehicle (UAV). The proposed framework is capable of achieving trajectory tracking, estimating states, as well as estimating and compensating for… read more here.

Keywords: presence; trajectory tracking; control; proposed framework ... See more keywords
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Edge Intelligence Framework for Data-Driven Dynamic Priority Sensing and Transmission

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Published in 2022 at "IEEE Transactions on Green Communications and Networking"

DOI: 10.1109/tgcn.2021.3136139

Abstract: Owing to the limited storage capacity, battery-powered wireless sensor nodes often suffer from energy sustainability. To optimize the energy consumption of a multi-parameter sensor hub, a novel edge intelligence-based data-driven priority-aware sensing and transmission framework… read more here.

Keywords: framework; proposed framework; edge intelligence; sensing transmission ... See more keywords