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On the steiner walk problem. (c2009)
Published 2009Subjects: “…Euclidean algorithm -- Data processing…”
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The Role of a Facilitator in Co-Design Applications for Exploratory Analysis in Domains of High Complexity: The Case of MAHiCGO
Published 2021“…</p><h3>Results</h3><p dir="ltr">We identified the need for an interactive visual analytic tool for exploratory analysis of biological data. We describe the process of developing MAHiCGO, a novel tool for the simultaneous visualization of MA Gene Expression data, Hi-C data and Gene Ontology (GO) information in an interactive manner for the exploratory analysis of biological data. …”
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On the complexity of multi-parameterized cluster editing
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Dynamic properties of language anxiety
Published 2020“…In essence, language anxiety (LA) is part of a continuous complex system in which each state evolves from a previous one. …”
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Low Complexity Byzantine-Resilient Federated Learning
Published 2024“…<p dir="ltr">Federated learning (FL) has gained attention for enabling efficient distributed learning while maintaining data privacy. However, the data privacy constraint reduces the transparency in the agents’ model update making the learning process vulnerable to Byzantine attacks. …”
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Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023Subjects: “…Cluster analysis -- Data processing…”
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Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
Published 2022“…<p>The complex future power plants require digital twin (DT) architecture to achieve high reliability, availability and maintainability at lower cost. …”
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Editorial: At the Crossroads: Lessons and Challenges in Computational Social Science
Published 2016Subjects: -
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The morphology and prevalence of the deltoid complex ligament of the ankle
Published 2017“…The tibionavicular ligament was the thinnest of all deltoid complex ligament components. This study yielded more accurate data on the frequency and size of its components. …”
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A Lower Complexity Deep Learning Method for Drones Detection
Published 2023“…In this work, we investigate applying several deep-learning techniques to benchmark real data sets of flying drones. A Deep learning paradigm is proposed for the purpose of mitigating the complexity of those systems. …”
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
Published 2024“…The paper first introduces the datasets and then provides a comprehensive experimental analysis of the performance of the selected FSAs on these datasets including testing the FSAs’ resilience on two types of induced data noise. The analysis has guided the grouping of the generated datasets into four groups of data complexity. …”
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MODELLING THE COMPLEXITY OF THE UAE NUCLEAR POWER PLANT OPERATIONAL READINESS PROGRAMME
Published 2021“…Network analysis was used to model the complexity of the UAE nuclear power plant operational readiness programme. …”
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Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers
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Photophysical and Electrocatalytic Properties of Rhenium(I) Triazole-Based Complexes
Published 2020“…The photophysical characterisation, supported by computational data, demonstrated a progressive stabilization of the LUMO from complex 1 to 3, which results in a narrowing of the HOMO–LUMO energy gap (HOMO = highest occupied molecular orbital) across the series and, correspondingly, red-shifted electronic absorption and photoluminescence spectra. …”
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Drone Detection with Improved Precision in Traditional Machine Learning and Less Complexity in Single Shot Detectors
Published 2024“…It was evident that those techniques are not suitable for complex data sets (sets with several non-drone objects and clutter in the background). …”
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Data collection in wireless sensor networks using UAV and compressive data gathering
Published 2019“…Among these, massive IoT is standing out with the proliferation of sensors and wearable devices that continuously monitor and transmit data for further processing. This paper proposes a novel data collection technique using Unmanned Aerial Vehicles (UAVs) in dense wireless sensor networks (WSNs) using projection-based Compressive Data Gathering (CDG) as a solution methodology. …”
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The Drivers of Complexity in Inventory Management Within the Healthcare Industry: A Systematic Review
Published 2024“…The purpose of this study is to investigate the complexities of inventory management in the healthcare industry for improving efficiency and resilience in healthcare supply chains. …”
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