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501“…In the early days of digital transformation, the automation, scalability, and availability of cloud computing made a big difference for business. Nonetheless, significant concerns have been raised regarding the security and privacy levels that cloud systems can provide, as enterprises have accelerated their cloud migration journeys in an effort to provide a remote working environment for their employees, primarily in light of the COVID-19 outbreak. …”
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502“…The collected information and defined objectives form the basis to monitor and analyze the data through cloud computation, and will guarantee the success of their survivability's against any unexpected threats. …”
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509por Ho, Chi-Kung, Chen, Fu-Cheng, Chen, Yung-Lung, Wang, Hui-Ting, Lee, Chien-Ho, Chung, Wen-Jung, Lin, Cheng-Jui, Hsueh, Shu-Kai, Hung, Shin-Chiang, Wu, Kuan-Han, Liu, Chu-Feng, Kung, Chia-Te, Cheng, Cheng-I“…However, this study showed that using a cloud computing system in our present protocol did not reduce DTB time.…”
Publicado 2017
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511por Prakash, Amol, Taylor, Lorne, Varkey, Manu, Hoxie, Nate, Mohammed, Yassene, Goo, Young Ah, Peterman, Scott, Moghekar, Abhay, Yuan, Yuting, Glaros, Trevor, Steele, Joel R., Faridi, Pouya, Parihari, Shashwati, Srivastava, Sanjeeva, Otto, Joseph J., Nyalwidhe, Julius O., Semmes, O. John, Moran, Michael F., Madugundu, Anil, Mun, Dong Gi, Pandey, Akhilesh, Mahoney, Keira E., Shabanowitz, Jeffrey, Saxena, Satya, Orsburn, Benjamin C.“…SIMPLE SUMMARY: We reanalyzed a publicly available breast cancer proteomics dataset consisting of 122 human tumor samples using a scalable cloud computing workflow. By doing so, we were able to search these files against millions of known human sequence variants and hundreds of common post-translational protein modifications, thereby demonstrating the power of cloud computing to address proteomic data in a true biological context. …”
Publicado 2021
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512por Paul, Arnab, K.S., Vignesh, Sood, Atisha, Bhaumik, Swastika, Singh, Kunwar Abhishek, Sethupathi, Sumathi, Chanda, Arunima“…The Google Earth Engine (GEE) cloud computing platform was used in this study to generate the products. …”
Publicado 2022
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518por Teng, Zixuan, Chen, Jiawei, Wang, Jian, Wu, Shuixiu, Chen, Riqing, Lin, Yaohai, Shen, Liyan, Jackson, Robert, Zhou, Ji, Yang, Changcai“…Here, we present Panicle-Cloud, an open and artificial intelligence (AI)-powered cloud computing platform that is capable of quantifying rice panicles from drone-collected imagery. …”
Publicado 2023
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