UniqueNOSD: a novel framework for NoSQL over SQL databases [0.03%]
UniqueNOSD：一种新颖的在SQL数据库上进行NoSQL的方法框架
Abdulrauf A Gidado,C I Ezeife
Abdulrauf A Gidado
To date, most large corporations still have their core solutions on relational databases but only use non-relational (i.e. NoSQL) database management systems (DBMS) for their non-core systems that favour availability and scalability through...
F u n Da: scalable serverless data analytics and in situ query processing [0.03%]
FunDa：可扩展的无服务器数据分析及原位查询处理
Elyes Lounissi,Suvam Kumar Das,Ronnit Peter et al.
Elyes Lounissi et al.
The pay-what-you-use model of serverless Cloud computing (or serverless, for short) offers significant benefits to the users. This computing paradigm is ideal for short running ephemeral tasks, however, it is not suitable for stateful long ...
Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease [0.03%]
基于大数据、人工智能和动作分析的帕金森病精准医疗新应用集成研究
Laura Dipietro,Uri Eden,Seth Elkin-Frankston et al.
Laura Dipietro et al.
One of the key challenges in Big Data for clinical research and healthcare is how to integrate new sources of data, whose relation to disease processes are often not well understood, with multiple classical clinical measurements that have b...
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance [0.03%]
基于大内插数据的数据为中心的深度学习方法以提升气道分割性能
Wing Keung Cheung,Ashkan Pakzad,Nesrin Mogulkoc et al.
Wing Keung Cheung et al.
The morphology and distribution of airway tree abnormalities enable diagnosis and disease characterisation across a variety of chronic respiratory conditions. In this regard, airway segmentation plays a critical role in the production of th...
Multi-sample [Formula: see text]-mixup: richer, more realistic synthetic samples from a p-series interpolant [0.03%]
多样本[Formula: see text]-mixup：来自p系列插值的更丰富、更逼真的合成样本
Kumar Abhishek,Colin J Brown,Ghassan Hamarneh
Kumar Abhishek
Modern deep learning training procedures rely on model regularization techniques such as data augmentation methods, which generate training samples that increase the diversity of data and richness of label information. A popular recent meth...
Survey of transformers and towards ensemble learning using transformers for natural language processing [0.03%]
变压器的综述及针对自然语言处理使用变压器进行集成学习的方向
Hongzhi Zhang,M Omair Shafiq
Hongzhi Zhang
The transformer model is a famous natural language processing model proposed by Google in 2017. Now, with the extensive development of deep learning, many natural language processing tasks can be solved by deep learning methods. After the B...
Detecting bots in social-networks using node and structural embeddings [0.03%]
基于节点和结构嵌入的社交网络中的机器人检测方法
Ashkan Dehghan,Kinga Siuta,Agata Skorupka et al.
Ashkan Dehghan et al.
Users on social networks such as Twitter interact with each other without much knowledge of the real-identity behind the accounts they interact with. This anonymity has created a perfect environment for bot accounts to influence the network...
Laura Dipietro,Paola Gonzalez-Mego,Ciro Ramos-Estebanez et al.
Laura Dipietro et al.
Neurological diseases are on the rise worldwide, leading to increased healthcare costs and diminished quality of life in patients. In recent years, Big Data has started to transform the fields of Neuroscience and Neurology. Scientists and c...
A review on lung disease recognition by acoustic signal analysis with deep learning networks [0.03%]
基于深度神经网络的嗓音信号分析及肺部疾病识别综述
Alyaa Hamel Sfayyih,Nasri Sulaiman,Ahmad H Sabry
Alyaa Hamel Sfayyih
Recently, assistive explanations for difficulties in the health check area have been made viable thanks in considerable portion to technologies like deep learning and machine learning. Using auditory analysis and medical imaging, they also ...
Online listing data and their interaction with market dynamics: evidence from Singapore during COVID-19 [0.03%]
新冠疫情期间的线上挂牌数据及其与市场动态相互作用的证据——以新加坡为例
Jieun Lee,Kwan Ok Lee
Jieun Lee
With the emergence of Property Technology, online listing data have drawn increasing interest in the field of real estate-related big data research. Scraped from the online platforms for property search and marketing, these data reflect rea...