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1141por Barreiro Megino, Fernando Harald, De, Kaushik, Maeno, Tadashi, Wenaus, Torre, Nilsson, Paul, Klimentov, Alexei, Oleynik, Danila, Panitkin, Sergey, Petrosyan, Artem, Vukotic, Ilija“…Since its origins, PanDA has evolved together with upcoming computing paradigms in and outside HEP, such as changes in the networking model, cloud computing and HPC. It is currently running steadily 160 thousand simultaneous jobs, aggregated over two million jobs per day and has processed over an exabyte of data in 2013. …”
Publicado 2015
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1142por Barreiro Megino, Fernando Harald, Caballero-Bejar, Jose, De, Kaushik, Hover, John, Klimentov, Alexei, Maeno, Tadashi, Nilsson, Paul, Oleynik, Danila, Padolski, Siarhei, Panitkin, Sergey, Petrosyan, Artem, Wenaus, Torre“…Since its origins, PanDA has evolved together with upcoming computing paradigms in and outside HEP, such as changes in the networking model, Cloud Computing and HPC. It is currently running steadily up to 200 thousand simultaneous cores (limited by the available resources for ATLAS), up to two million aggregated jobs per day and processes over an exabyte of data per year. …”
Publicado 2015
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1143por Peña-Ayala, Alejandro“…·Conceptual: a pair of chapters offer a given proposal, the first to develop adaptive mobile learning systems by means of a framework based on contextual information; and the second with the purpose to share some guidelines of how to apply cloud computing in the development and operation of mobile. …”
Publicado 2016
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1144por Leblanc, Matt“…A benchmarking study which compares commercially available cloud computing platforms for applications in High Energy Physics, and a summary of ATLAS liquid argon calorimeter data quality work focused on monitoring and characterising the sporadic phenomena of Mini Noise-Bursts in the electromagnetic barrel calorimeter are also included.…”
Publicado 2017
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1145por Kulhanek, Tomas“…The virtual machine templates are available in EGI's APP DB as well as within STFC cloud computing infrastructure.…”
Publicado 2018
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1146por Stagni, Federico, Ubeda, M, Tsaregorodtsev, A, Romanovskiy, V, Roiser, S, Charpentier, P, Graciani, R“…For example, LHC experiments very often use resources not provided by WLCG, and Cloud Computing resources will soon provide a non-negligible fraction of their computing power. …”
Publicado 2014
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1147“…Among of them, we can highlight the IoT ecosystem making available large amounts of information, cloud computing allowing large computational capacities, and Machine Learning techniques together with the Soft Computing framework to incorporate intelligence. …”
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1148“…Based on these results, it is reasonable to asseverate that cloud computing platforms like GEE will enable the monitoring and documentation of regenerative techniques to achieve unprecedented levels. …”
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1149“…Thus, the Internet of things, based on fog-cloud computing, using artificial intelligence approaches such as machine learning, and deep learning are practical concepts. …”
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1150“…Cloud computing has become a popular delivery model service, offering several advantages. …”
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1151“…It is observed that the percentage of delay-sensitive processed flows, the network consumption, and the average service time in the proposed mechanism are improved by about 80%, 65%, and 60%, respectively, compared to traditional Cloud computing. Therefore, the delay reductions based on the types of flows and task offloading is proposed.…”
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1152“…Based on this, a progressive two-level classifier mechanism is proposed, combining template matching based on AMPD (Automatic Peak Detection) and deep learning algorithms based on VMD (Variational Mode Decomposition), denoising, and utilizing edge and cloud computing power efficiently. The simulation-based datasets were used to test the two-level algorithm, with the first-level edge-end template matching algorithm achieving fault detection rates of 93.3% and the second-level cloud-based deep learning algorithm achieving classification accuracy of 98.4%. …”
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1153“…The approach draws on two tools commonly used by professional software engineers but not widely used by academic researchers: software containers (e.g., Docker) and cloud computing (e.g., Amazon Web Services). These tools made it possible to standardize the computing environment around each submission, which will ease computational reproducibility both today and in the future. …”
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1154por Saeed, Saqib, Altamimi, Salha A., Alkayyal, Norah A., Alshehri, Ebtisam, Alabbad, Dina A.“…However, emerging technologies such as artificial intelligence, big data and analytics, blockchain, and cloud computing drive digital transformation worldwide while increasing cybersecurity risks for businesses undergoing this process. …”
Publicado 2023
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1155“…With the continuous promotion of “smart cities” worldwide, the approach to be used in combining smart cities with modern advanced technologies (Internet of Things, cloud computing, artificial intelligence) has become a hot topic. …”
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1156por Zhang, Wanlong, Zhang, Changhua, Cao, Lan, Liang, Fang, Xie, Weihua, Tao, Liang, Chen, Chen, Yang, Ming, Zhong, Lingyun“…The rapid development of new computer digital technologies, such as big data analysis, Internet of Things (IoT), blockchain and cloud computing artificial intelligence, has promoted the rapid development of traditional pharmaceutical manufacturing industry with digitalization and intellectualization. …”
Publicado 2023
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1157por Pessin, Vilker Zucolotto, Santos, Celso Alberto Saibel, Yamane, Luciana Haure, Siman, Renato Ribeiro, Baldam, Roquemar de Lima, Júnior, Valdemar Lacerda“…Applying this method, the researcher can apply science mapping and bibliometric techniques with agility, taking advantage of an easy-to-use solution with cloud computing capabilities. From the application of the “Scientific Mapping Process”, the researcher will be able to generate strategic information for a result-oriented scientific production, assertively going through the main steps of research and boosting scientific discovery in the most diverse fields of investigation. • The Scientific Mapping Process provides a method and a system to boost scientific development. • It automates Science Mapping and bibliometric analysis from scientific datasets. • It facilitates the researcher's work, increasing the assertiveness in scientific production.…”
Publicado 2023
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1158por Lorenzo-Villegas, Dionisio Lorenzo, Gohil, Namra Vinay, Lamo, Paula, Gurajala, Swathi, Bagiu, Iulia Cristina, Vulcanescu, Dan Dumitru, Horhat, Florin George, Sorop, Virgiliu Bogdan, Diaconu, Mircea, Sorop, Madalina Ioana, Oprisoni, Andrada, Horhat, Razvan Mihai, Susan, Monica, MohanaSundaram, ArunSundar“…However, futuristic diagnostics will depend on exploiting technologies such as multiplexing for high-throughput screening, CRISPR, artificial intelligence (AI), neural networks, the Internet of Things (IoT), and cloud computing of medical databases. This review gives an insight into different biosensor technologies designed for the detection of medically significant Candida species, especially Candida albicans and C. auris, and their applications in the medical setting.…”
Publicado 2023
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1159por Möller, Steffen, Krabbenhöft, Hajo Nils, Tille, Andreas, Paleino, David, Williams, Alan, Wolstencroft, Katy, Goble, Carole, Holland, Richard, Belhachemi, Dominique, Plessy, Charles“…If such packages are available in cloud computing environments, the underlying hardware and the analysis pipelines can be shared along with the software. …”
Publicado 2010
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1160por Ji, Jun, Ling, Jeffrey, Jiang, Helen, Wen, Qiaojun, Whitin, John C, Tian, Lu, Cohen, Harvey J, Ling, Xuefeng B“…FINDINGS: Here we present an efficient and effective solution, which provides experimental biologists easy access to “cloud” computing capabilities to analyze MS data. The web portal can be accessed at http://transmed.stanford.edu/ssa/. …”
Publicado 2013
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