A comparative study of the growth of Tetraselmis sp. in large scale fixed depth and decreasing depth raceway ponds by Das, Probir

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A vector quantization based k-NN approach for large-scale image classification by Ozan, Ezgi Can

“…In this paper we propose a vector quantization (VQ) based k-NN classifier, which has improved efficiency for both storage requirements and computational costs. …”
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Decreased soil moisture due to warming drives phylogenetic diversity and community transitions in the tundra by Scharn, Ruud

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Energy-Efficient Transmission Technique based on Dijkstra Algorithm for decreasing energy consumption in WSNs by Abderrahim M.

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Nitric Oxide Releasing Hydrogel Nanoparticles Decreases Epithelial Cell Injuries Associated With Airway Reopening by Shurbaji, Samar Haroon

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Nitric Oxide Releasing Hydrogel Nanoparticles Decreases Epithelial Cell Injuries Associated With Airway Reopening. by Shurbaji, Samar

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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database by Al-Sa'd, Mohammad F.

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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database by Al-Sa'd M.F.

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apoA2 correlates to gestational age with decreased apolipoproteins A2, C1, C3 and E in gestational diabetes. by Ramanjaneya, Manjunath

“…Apoproteins apoA2, apoC1, apoC3 and apoE are decreased in women with GDM and may have a role in inflammation, as apoA2 and C3 correlated with CRP. …”
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Integration of temperature and dust effects in siting large PV power plant in hot arid area by Charabi, Yassine

“…Recently, solar PV technologies witnessed a commercial vigor due to their tremendously decreasing prices. …”
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Managing multitype capacity resources for frequency regulation in unit commitment integrated with large wind ramping by Hemmati, Reza

“…Such models are more complicated under a high penetration level of renewable energy because of renewable ramping and uncertainty. …”
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Techno-economic assessment of waste mandarin biochar as a green adsorbent for binary dye wastewater effluents of methylene blue and basic fuchsin: Lab- and large-scale investigatio... by Ahmed S., El-Shafie

“…Treating polluted wastewater effluents on a large-scale requires the development of high performance and cost-effective adsorbents. …”
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Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Kserawi, Fawaz

“…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. Our experimental results show a possible decrease in data perturbation error by 51.7% and 61.2% for smart meters and fog-computing data aggregators perturbed data, respectively, compared to the commonly used Gaussian mechanism.…”
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Adaptative Network Topology for Data Centers by Chkirbene, Zina

“…Data center networking is a research topic that aims at improving the overall performances of the data centers. …”
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Serum Vitamin D Concentration ≥75 nmol/L Is Related to Decreased Cardiometabolic and Inflammatory Biomarkers, Metabolic Syndrome, and Diabetes; and Increased Cardiorespiratory Fitn... by Ganji, Vijay

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Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing by Elgendy, Ibrahim A.

“…Finally, it is adaptable and scalable for a large number of mobile devices.…”
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Scalable Containerized Pipeline for Real-time Big Data Analytics by Aurangzaib, Rana

“…The proposed scalable pipeline is evaluated using a case study of anomaly detection in IoT data. The proposed solution yields a x 1.31 to x 2.4 increase in throughput, and x 32 to x 80 decreased latency compared to the commonly used static resource allocation strategy for data pipelines. 2022 IEEE.…”
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VacoNet: Variable and connected architecture for data center networks by Chkirbene, Zina

“…Todays data centers may contain tens of thousands of computers with progressively more specialized and expensive equipments. …”
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Leveraging known data for missing label prediction in cultural heritage context by Belhi A.

“…Often, visual data are not the only information available at hand. …”
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An intelligent data uploading selection mechanism for offloading uplink traffic of cellular networks by Wang, Qian

“…In IDUSM, our proposed probability prediction model precisely predicts a participant’s mobility from spatial and temporal aspects, and we decrease data redundancy produced in the Wi-Fi offloading process to reduce waste of participants’ limited resources (e.g., storage, battery). …”
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