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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Introduction to the Special Issue on Data-Intensive Computing in Smart Microgrids by Herodotos Herodotou

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LSM Index with Common Components for Historical Data Indexing by Aleksei Neganov

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Performance Evaluations of Distributed File Systems for Scientific Big Data in FUSE Environment by Jun-Yeong Lee, Moon-Hyun Kim, Syed Asif Raza Shah, Sang-Un Ahn, Heejun Yoon, Seo-Young Noh

Subjects: “…data-intensive computing…”
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A Particle Swarm Optimization Method for AI Stream Scheduling in Edge Environments by Ming Zhang, Luanqi Liu, Changzhen Li, Haifeng Wang, Ming Li

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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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Cytest - A New Platform For Training And Testing In Cytopathology by Luca Lianas, M.E. Piras, E. Musu, S. Podda, F. Frexia, E. Ovcin, G. Bussolati, G. Zanetti

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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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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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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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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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Cohort profile: the Turin prostate cancer prognostication (TPCP) cohort by Nicolas Destefanis, Valentina Fiano, Lorenzo Milani, Paolo Vasapolli, Michelangelo Fiorentino, Francesca Giunchi, Luca Lianas, Mauro Del Rio, Francesca Frexia, Luca Pireddu, Luca Molinaro, Paola Cassoni, Mauro Giulio Papotti, Paolo Gontero, Giorgio Calleris, Marco Oderda, Umberto Ricardi, Giuseppe Carlo Iorio, Piero Fariselli, Elena Isaevska, Olof Akre, Renata Zelic, Andreas Pettersson, Daniela Zugna, Lorenzo Richiardi

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Gamma Generalization Operators Involving Analytic Functions by Qing-Bo Cai, Bayram Çekim, Gürhan İçöz

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Compute-in-Memory for Numerical Computations by Dongyan Zhao, Yubo Wang, Jin Shao, Yanning Chen, Zhiwang Guo, Cheng Pan, Guangzhi Dong, Min Zhou, Fengxia Wu, Wenhe Wang, Keji Zhou, Xiaoyong Xue

“…At present, CIM is frequently used in data-intensive computing. Data-intensive computing applications, such as all kinds of neural networks (NNs) in machine learning (ML), are regarded as ‘soft’ computing tasks. …”
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Some approximation results for the new modification of Bernstein-Beta operators by Qing-Bo Cai, Melek Sofyalıoğlu, Kadir Kanat, Bayram Çekim

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Approximation by bivariate Bernstein–Kantorovich–Stancu operators that reproduce exponential functions by Lian-Ta Su, Kadir Kanat, Melek Sofyalioğlu Aksoy, Merve Kisakol

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