Cloud Computing : Data-Intensive Computing and Scheduling / by Magoules, F. (Frederic), Pan, Jie, Teng, Fei

Data-intensive computing : architectures, algorithms, and applications / by Gorton, Ian, editor, Gracio, Deborah K., 1965-, editor

Cloud Computing : Data-Intensive Computing and Scheduling / by Magoules, F. (Frederic) author, Pan, Jie author, Teng, Fei author

Data-Intensive Computing in Smart Microgrids: Volume II by Herodotos Herodotou, Sheraz Aslam

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Fair Resource Allocation for Data-Intensive Computing in the Cloud by Tang, Shanjiang, Lee, Bu-Sung, He, Bingsheng

“…To address the computing challenge of ’big data’, a number of data-intensive computing frameworks (e.g., MapReduce, Dryad, Storm and Spark) have emerged and become popular. …”
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Introduction to the Special Issue on Data-Intensive Computing in Smart Microgrids by Herodotos Herodotou

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An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF by José Roberto Lomelí-Huerta, Juan Pablo Rivera-Caicedo, Miguel De-la-Torre, Brenda Acevedo-Juárez, Jushiro Cepeda-Morales, Himer Avila-George

“…The amount of computation effort derived from the use of large high-resolution images is addressed by data-intensive computing techniques that assume an underlying cluster architecture. …”
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LSM Index with Common Components for Historical Data Indexing by Aleksei Neganov

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Horizontably Scalable LSM-tree Based Index for Full-Text Search Boolean Queries by Aleksei Neganov

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New Developments in a Two-criteria Approach to Dynamic Power Management in Energy-aware Computer Networks by Andrzej Karbowski, Przemysław Jaskóła

Subjects: “…data intensive computing…”
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Advanced Fractional Mathematics, Fractional Calculus, Algorithms and Artificial Intelligence with Applications in Complex Chaotic Systems by Dumitru Baleanu, Yeliz Karaca

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Deep learning-based image segmentation model using an MRI-based convolutional neural network for physiological evaluation of the heart by Wanni Xu, Wanni Xu, Wanni Xu, Jianshe Shi, Yunling Lin, Chao Liu, Chao Liu, Chao Liu, Weifang Xie, Weifang Xie, Weifang Xie, Huifang Liu, Siyu Huang, Daxin Zhu, Daxin Zhu, Daxin Zhu, Lianta Su, Lianta Su, Yifeng Huang, Yuguang Ye, Yuguang Ye, Yuguang Ye, Jianlong Huang, Jianlong Huang, Jianlong Huang

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Deep hashing and attention mechanism-based image retrieval of osteosarcoma scans for diagnosis of bone cancer by Taisheng Zeng, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang, Mengde Ling

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On the Durrmeyer variant of q-Bernstein operators based on the shape parameter λ by Lian-Ta Su, Reşat Aslan, Feng-Song Zheng, M. Mursaleen

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AI diagnostics in bone oncology for predicting bone metastasis in lung cancer patients using DenseNet-264 deep learning model and radiomics by Taisheng Zeng, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

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GHA-DenseNet prediction and diagnosis of malignancy in femoral bone tumors using magnetic resonance imaging by Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Xiadong Li, Jianbing Xiahou

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Applications of relative statistical convergence and associated approximation theorem by Lian-Ta Su, Kuldip Raj, Sonali Sharma, Qing-Bo Cai

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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

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SPIDER: A framework for processing, editing and presenting immersive high-resolution spherical indoor scenes by M. Tukur, G. Pintore, E. Gobbetti, J. Schneider, M. Agus

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Some Statistical and Direct Approximation Properties for a New Form of the Generalization of <i>q</i>-Bernstein Operators with the Parameter <i>λ</i> by Lian-Ta Su, Esma Kangal, Ülkü Dinlemez Kantar, Qing-Bo Cai

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