Titlebook: Neural Computing for Advanced Applications; First International Haijun Zhang,Zhao Zhang,Tianyong Hao Conference proceedings 2020 Springer

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Xiao Lu,Zhao Kang,Jiachun Tang,Shuang Xie,Yuanzhang Suave either been studied on a particular platform type or have been generalized across multiple platform types. We see opportunities in scrutinizing the varying roles that actors play on platforms of different types. For instance, actors who develop third-party applications are hardly comparable to a

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Li Zhang,Xiaohan Zheng,Zhiqiang Xuave either been studied on a particular platform type or have been generalized across multiple platform types. We see opportunities in scrutinizing the varying roles that actors play on platforms of different types. For instance, actors who develop third-party applications are hardly comparable to a

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Xin Xia,Wenrui Ding,Li’an Zhuo,Baochang Zhangandardized components together with complementary components for making applications. These platforms are also becoming a cornerstone of the emerging Internet of Things (IoT) business ecosystem comprised of the companies who provide Internet-enabled devices, applications, connectivity solutions, and

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Bei Dong,Yuping Su,Yun Zhou,Xiaojun Wud. In describing the decisions these entrepreneurs have made while building their company, we attempt to describe the early-life decisions in such a way that other software entrepreneurs can learn from it. The 16 different companies that are described in this chapter deliver a diverse range of produ

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Yuan Sun,Zhenwen Ren,Chao Yang,Haoyun Leing customer feedback loops, minimizing the time between customer proof points and learn from customer usage data will be able to accelerate innovation and improve the accuracy of their development investments. While contemporary research reports on a number of well-established techniques for activel

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Xiaoou Zhang,Zexuan Zhuhnological platform, i.e. a software ecosystem. In this study, we focus on the governance of a hardware-dependent software ecosystem. More specifically, we evaluate the governance model applied by Axis, a network video and surveillance camera producer, that is the platform owner and orchestrator of

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Ao Li,Yu Ding,Deyun Chen,Guanglu Sun,Hailong Jiangis an efficient algorithm for discovering communities. However, sequential Louvain method does not scale to the emerging large-scale network data. Parallel algorithms designed for modern high performance computing platforms are necessary to process such network big data. Although there are several s

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Miao Ma,Qingqing Zhu,Xiaoxiao Huang,Jie Wusupercomputers with fast and complex memory subsystems are being provisioned to meet this demand. While complex and deep-memory hierarchies offer increased memory-bandwidth they can also introduce additional latency. Optimizing the memory usage of the applications is required to improve performance.