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Incentive-Vacation Queueing for Edge Crowd Computing
Published 2024“…Yet, there’s untapped potential beyond the network’s last mile, on the extreme edge. Extreme edge computing (XEC) is a computing paradigm that exploits computational resources in the end-user’s immediate vicinity. …”
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Graph Computing Systems and Partitioning Techniques: A Survey
Published 2022“…Hence, industry and academia have been recently proposing graph partitioning and computing systems to process and analyze large-scale graphs efficiently. …”
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An on-line neural network-based harmonic analyzer
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Serverless computing: a security perspective
Published 2022“…<div><p>In this article we review the current serverless architectures, abstract and categorize their founding principles, and provide an in-depth security analysis. In particular, we: show the security shortcomings of the analyzed serverless architectural paradigms; point to possible countermeasures; and, highlight several research directions for practitioners, Industry, and Academia.…”
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Investigating the Effect of Patient-Related Factors on Computed Tomography Radiation Dose Using Regression and Correlation Analysis
Published 2024“…In this study, a dataset containing CT dose information for a cohort of 333 patients categorized into four CT exams, chest, cardiac angiogram, cardiac calcium score and abdomen/pelvis, was collected and retrospectively analyzed. Regression analysis and Pearson correlation were applied to estimate the relationships between patient-related factors, namely body mass index (BMI), weight and age as input variables, and CT dose indices, namely the volume CT dose index (CTDIvol), dose length product (DLP), patient effective dose (ED) and size-specific dose estimate (SSDE), as output variables. …”
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Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides
Published 2015“…We obtained time-course RNA-seq data from B73 maize inoculated with wild type F. verticillioides and a loss-of-virulence mutant, and subsequently established a computational pipeline for network-based comparative analysis. …”
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Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework
Published 2024“…<p dir="ltr">Edge Computing (EC) emerged to address the cloud’s shortcomings in meeting demand and latency requirements, leading to a shift in computation closer to the end-user. …”
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Factors Influencing SMEs’ Adoption of Cloud Computing Services in Lebanon: An Empirical Analysis Using TOE and Contextual Theory
Published 2020“…A model is proposed, and data collected from 139 respondents working in SMEs in Lebanon and analyzed using confirmatory factor analysis and logistic regression in SPSS provide strong support for the model. …”
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The Confluence of Big Data and Cloud Computing in SME Adoption Strategies
Published 2025“…This paper explores the adoption of cloud computing and big data technologies in small and medium enterprises (SMEs), focusing on synthesizing key factors influencing adoption. …”
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On the relative efficiency of maximal clique enumeration algorithms, with application to high-throughput computational biology
Published 2005“…The efficient enumeration of maximal cliques has applications in microarray analysis and a number of other foundational problems of computational biology. …”
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The effect of computer-assisted language learning on motivating students to write. (c2008)
Published 2008Get full text
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