Titlebook: ;

心神不寧

FRONT

https://doi.org/10.1007/978-981-13-6500-3 (SHM) plays a significant role in preventing and mitigating the course of structural damage. In this work, a multi-scale SHM framework based on Hadoop Ecosystem (MS-SHM-Hadoop) to monitor and evaluate the serviceability of civil infrastructure is proposed. Through utilizing fault-tolerant distribut

CAND

Michael Griebel,Alexander Hullmannied and modeled since the nineteenth century and currently applied in almost all branches of sciences and engineering including social sciences. The development of computers and scientific/numerical methods has accelerated the pace of new developments in modeling both linear and nonlinear dynamical

傲慢人

https://doi.org/10.1007/978-94-011-4619-7althcare, it has also sparked the need for . medical expertise with Big-data. Such scientific temperament and skills for end-to-end translation of Big-data to Big-knowledge have been encapsulated into the new specialty of .. This chapter discusses the key Data-science technologies that are enabling

debacle

Mathematics and Its Applicationsector is to analyze impact of comorbidities. Comorbidity is a medical condition when a patient develops multiple diseases simultaneously. The research on finding comorbidities over time is rare. In this paper, our focus is to find time-based comorbidities in the patients diagnosed with Tobacco Use D

thwart

James B. Elsner,Anastasios A. Tsonisy. One way in which technology has begun to truly transform healthcare is with big data and big data analytics. Using sophisticated tools to capture, aggregate, and translate data across multiple sources, ranging from traditional electronic health records to non-traditional consumer devices, big dat

malapropism

Commonplace

Start with Privacy by Design in All Big Data Applicationsrmation architectures and applications to facilitate the fast processing speeds and the visualization needed to analyze and extract value from these extremely large sets of data, using distributed platforms. While not all data in Big Data applications will be personally identifiable, when this is th

Harrowing

Privacy Preserving Federated Big Data Analysispitals have the data from local patients. On the other hand, data from the same patient can also spread across multiple hospitals and institutions when she makes multiple visits. There are many benefits to use distributed data together in research studies but it is challenging to pool the raw data d

osteocytes

Word Embedding for Understanding Natural Language: A Survey. The extracted features thus could be organized in low dimensional space. Some representative word embedding approaches include Probability Language Model, Neural Networks Language Model, Sparse Coding, etc. The state-of-the-art methods like skip-gram negative samplings, noise-contrastive estimatio