Decreased soil moisture due to warming drives phylogenetic diversity and community transitions in the tundra by Scharn, Ruud

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

“…However, with the growth of the size of image datasets and the number of dimensions of image descriptors, popularity of k-NNs has decreased due to their significant storage requirements and computational costs. …”
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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

“…Land suitability analysis for large PV farms implementation is carried out for the case study of Oman. …”
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Managing multitype capacity resources for frequency regulation in unit commitment integrated with large wind ramping by Hemmati, Reza

“…The wind integration level without large wind ramping can be increased up to 200%. 2010-2012 IEEE.…”
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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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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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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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Representation of Adsorption Data for the Isopropanol-Water System using Neural Network Techniques by Mjalli, F.

“…Water uptake increases as the water content in the feed decreases from 16?% to 10?%. Although the GAB isotherm model was found to be applicable to the water vapor sorption data on the adsorbents examined, the ANN model fitted the equilibrium data more efficiently.…”
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Uncertain training data set conceptual reduction: A machine learning perspective by Rezk, Eman

“…Moreover, the reduced data has the advantage of decreasing communication time and memory space.…”
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