Titlebook: High Performance Computing; 7th Latin American C Sergio Nesmachnow,Harold Castro,Andrei Tchernykh Conference proceedings 2021 The Editor(s)

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Electricity Demand Forecasting Using Computational Intelligence and High Performance Computingurly electricity demand of the following day. The short-term forecast of electricity demand is a crucial problem to define the dispatch of generators. In turn, it is necessary to define demand response policies related with smart grids. Computational intelligence models have emerged as successful me

束以马具

Parallel/Distributed Generative Adversarial Neural Networks for Data Augmentation of COVID-19 Traini training samples for computational intelligence methods. This is a relevant problem nowadays, considering the recent COVID-19 pandemic. Computational intelligence and learning methods are useful tools to assist physicians in the process of diagnosing diseases and acquire valuable medical knowledge.

catagen

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旧石器时代

and ,: A High Performance AI+HPC Ecosystem for Science, Discovery, and Societal Good Such acceleration eclipses the speedups that were made possible though improvements in CPU process and design and other kinds of algorithmic advances. It sets the stage for a new era of discovery in which previously intractable challenges will become surmountable, with applications in fields such a

VEST

g this technology to an issue of potentially high relevance to current research in Alzheimer’s Disease (AD). The AD field is in strong need of biomarkers suitable for the diagnosis of AD prior to symptomology. Amyloid-beta (Aβ) deposition in the brain is a hallmark of AD, and amino acid racemization

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During efferocytosis, phagocytes are recruited to the site/activated by “find me” signals released from apoptotic cells, precisely identify apoptotic cells by the recognition of “eat me” signals on the apoptotic cell surface, and engulf the apoptotic cells to prevent secondary necrosis and inflammat

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chemoprevention

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