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Preface

机译:前言

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摘要

Computational science and technology is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. The absolute size of many challenges in computational science and technology demands the use of supercomputing, parallel processing, sophisticated algorithms and advanced system software and architecture. The ICCST2020 conference provides a unique forum to exchange innovative research ideas, recent results, and share experiences among researchers and practitioners in the field of advanced computational science and technology. Building on the previous four conferences that include Regional Conference on Computational Science and Technology (RCSST 2007) and a series of International Conference on Computational Science and Technology (2014-2019), the Seventh International Conference on Computational Science and Technology (ICCST2020) program offers practitioners and researchers from academia and industry the possibility to share computational techniques and solutions in this area, to identify new issues, and to shape future directions for research, as well as to enable industrial users to apply leading-edge large-scale high-performance computational methods. This volume presents a theory and practice of ongoing research in computational science and technology. The focuses of this volume are on abroad range of methodological approaches and empirical references points including artificial intelligence, cloud computing, communication and data networks, computational intelligence, data mining and data warehousing, evolutionary computing, high-performance computing, information retrieval, knowledge discovery, knowledge management, machine learning, modeling and simulations, parallel and distributed computing, problem-solving environments, semantic technology, soft computing, system-on-chip design and engineering, text mining, visualization and web-based and service computing . The carefully selected contributions to this volume were initially accepted for oral presentation during the Seventh International Conference on Computational Science and Technology (ICCST20) held on 29-30 August 2020 virtually. The level of contributions corresponds to that of advanced scientific works, although several of them could be addressed also to non-expert readers. The volume brings together 47 chapters. In concluding, we would also like to express our deep gratitude and appreciation to all the program committee members, panel reviewers, organizing committees, and volunteers for your efforts to make this conference a successful event. It is worth emphasizing that much theoretical and empirical work remains to be done. It is encouraging to find that more research on computational science and technology is still required. We sincerely hope the readers will find this book interesting, useful, and informative and it will give then a valuable inspiration for original and innovative research.
机译:计算科学和技术是一种快速增长的多学科领域,使用先进的计算和数据分析来了解和解决复杂问题。计算科学和技术中许多挑战的绝对规模要求使用超级计算,并行处理,复杂的算法和高级系统软件和架构。 ICCST2020会议提供了一个独特的论坛,可以在先进的计算科学和技术领域的研究人员和从业者中交换创新研究思路,最近的结果和分享经验。在前四大会议上建立,包括关于计算科学和技术区域会议(RCSST 2007)和一系列国际计算科学和技术会议(2014-2019),第七届计算科学和技术会议(ICCST2020)计划提供来自学术界和工业的从业者和研究人员可以分享该领域的计算技术和解决方案,以确定新问题,并塑造未来的研究方向,以及使工业用户施加前沿大型高性能计算方法。该卷提出了计算科学与技术持续研究的理论和实践。该卷的焦点在国外的方法中的方法和经验参考点,包括人工智能,云计算,通信和数据网络,计算智能,数据挖掘和数据仓库,进化计算,高性能计算,信息检索,知识发现,知识管理,机器学习,建模和仿真,并行和分布式计算,解决环境,语义技术,软计算,芯片系统的设计和工程,文本挖掘,可视化和基于Web和服务计算。在2020年8月29日至30日几乎在2020年8月30日举行的第七届国际计算科学和技术会议期间,最初接受了对此卷的精心介绍。贡献水平对应于高级科学作品,尽管他们中的一些人也可以向非专家读者解决。该卷汇集在一起​​47章。在结束时,我们还要对所有计划委员会成员,小组审稿人,组织委员会和志愿者表示,为您的努力表达深入感谢和赞赏,以使这次会议成为成功的活动。值得强调的是,仍有待完成的理论和实证工作。令人鼓舞的是,仍然需要更多关于计算科学和技术的研究。我们真诚地希望读者能够找到这本书有趣,有用和信息丰富,它将给予原创和创新研究的宝贵灵感。

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