Articles with "novel data" as a keyword



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A novel data-driven rollover risk assessment for articulated steering vehicles using RNN

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Published in 2020 at "Journal of Mechanical Science and Technology"

DOI: 10.1007/s12206-020-0437-4

Abstract: Articulated steering vehicles have outstanding capability operating but suffer from frequent rollover accidents due to their complicated structure. It is necessary to accurately detect their rollover risk for drivers to take action in time. Their… read more here.

Keywords: steering vehicles; rollover risk; data driven; novel data ... See more keywords
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A novel data-driven sampling strategy for optimizing industrial grinding operation under uncertainty using chance constrained programming

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Published in 2021 at "Powder Technology"

DOI: 10.1016/j.powtec.2020.09.024

Abstract: Abstract Multi-objective optimization of an integrated grinding circuit considering various sources of uncertainties has been targeted in this work using Chance constrained programming (CCP). Success of CCP depends on accurate transcription of uncertain parameter space… read more here.

Keywords: novel data; using chance; constrained programming; chance constrained ... See more keywords
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Sensing Cloud Computing in Internet of Things: A Novel Data Scheduling Optimization Algorithm

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2977643

Abstract: In order to addressing the issues of data matching deviation and load imbalance during the data scheduling process of the Internet of Things, Sensing Cloud Computing in IoT: A Novel Data Scheduling Optimization (SCC-DSO) Algorithm… read more here.

Keywords: internet things; data scheduling; cloud computing; algorithm ... See more keywords
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A Novel Data Augmentation Method for Improved Visual Crack Detection Using Generative Adversarial Networks

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3251988

Abstract: Condition monitoring and inspection are core activities for assessing and evaluating the health of critical infrastructure spanning from road networks to nuclear power stations. Defect detection on visual inspections of such assets is a field… read more here.

Keywords: data augmentation; augmentation method; generative adversarial; detection ... See more keywords
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DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3262653

Abstract: Topic modelling is important for tackling several data mining tasks in information retrieval. While seminal topic modelling techniques such as Latent Dirichlet Allocation (LDA) have been proposed, the ubiquity of social media and the brevity… read more here.

Keywords: data agnostic; datm novel; agnostic topic; topic ... See more keywords
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A Novel Data-Driven Analysis Method for Electromagnetic Radiations Based on Dynamic Mode Decomposition

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Published in 2020 at "IEEE Transactions on Electromagnetic Compatibility"

DOI: 10.1109/temc.2020.2994934

Abstract: Electromagnetic radiations in complex electronic systems such as cell phones and computers are complex spatial–temporal correlations signals. Decomposing the electromagnetic radiation measured in the spatial–temporal domain is useful to gain physical insights into the process… read more here.

Keywords: dynamic mode; data driven; electromagnetic radiations; novel data ... See more keywords
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A Novel Data-Driven Approach for Solving the Electric Vehicle Charging Station Location-Routing Problem

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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3196835

Abstract: Due to increasing rates of adoption of electric vehicles (EVs), there is a strong need to deploy the necessary charging station infrastructure, together with routing strategies to manage traffic flow and congestion. This study addresses… read more here.

Keywords: problem; routing problem; location routing; charging station ... See more keywords