A Policy-Driven Approach to Secure Extraction of COVID-19 Data From Research Papers [0.03%]
基于政策的数据安全提取以应对新冠疫情挑战
Lavanya Elluri,Aritran Piplai,Anantaa Kotal et al.
Lavanya Elluri et al.
The entire scientific and academic community has been mobilized to gain a better understanding of the COVID-19 disease and its impact on humanity. Most research related to COVID-19 needs to analyze large amounts of data in very little time....
Stijn Peeters,Marc Tuters,Tom Willaert et al.
Stijn Peeters et al.
In this paper we develop an empirical, big data approach to analyze how alt-right vernacular concepts (such as kek and beta) were used on the notorious anonymous and ephemeral imageboard 4chan/pol/and the fan wiki Encyclopedia Dramatica. Wh...
Sezen Sekmen,Gian Michele Innocenti,Bo Jayatilaka
Sezen Sekmen
This editorial summarizes the contributions to the Frontiers Research topic "Innovative Analysis Ecosystems for HEP Data", established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data an...
Bhavya Kailkhura,Pin-Yu Chen,Xue Lin et al.
Bhavya Kailkhura et al.
A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease [0.03%]
基于多研究模型的亨廷顿舞蹈病影像学和临床生物标志物变化顺序评估
Peter A Wijeratne,Eileanoir B Johnson,Sarah Gregory et al.
Peter A Wijeratne et al.
Understanding the order and progression of change in biomarkers of neurodegeneration is essential to detect the effects of pharmacological interventions on these biomarkers. In Huntington's disease (HD), motor, cognitive and MRI biomarkers ...
Khalil Damak,Olfa Nasraoui,William Scott Sanders
Khalil Damak
Despite advances in deep learning methods for song recommendation, most existing methods do not take advantage of the sequential nature of song content. In addition, there is a lack of methods that can explain their predictions using the co...
Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data [0.03%]
基于条件生成对抗网络的深度学习任务分类器改进的fNIRS数据增强方法
Sajila D Wickramaratne,Md Shaad Mahmud
Sajila D Wickramaratne
Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique used for mapping the functioning human cortex. fNIRS can be widely used in population studies due to the technology's economic, non-invasive, and portable nature. fNI...
Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint [0.03%]
基于物理感知地形约束的观测受限洪水淹没制图
Arpan Man Sainju,Wenchong He,Zhe Jiang et al.
Arpan Man Sainju et al.
Spatial classification with limited observations is important in geographical applications where only a subset of sensors are deployed at certain spots or partial responses are collected in field surveys. For example, in observation-based f...
Comparative Analysis of Energy Use and Greenhouse Gas Emission of Diesel and Electric Trucks for Food Distribution in Gowanus District of New York City [0.03%]
纽约市gowanus区食品配送中柴油和电动货车的能耗及温室气体排放比较分析
Raghul Elangovan,Ondrea Kanwhen,Ziqian Dong et al.
Raghul Elangovan et al.
New York City's food distribution system is among the largest in the United States. Food is transported by trucks from twelve major distribution centers to the city's point-of-sale locations. Trucks consume large amounts of energy and contr...
COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics [0.03%]
新冠肺炎作为研究动态转型器：新兴交叉学科和国家特征
Ryosuke L Ohniwa,Joji Kijima,Mizuho Fukushige et al.
Ryosuke L Ohniwa et al.
The outbreak of the COVID-19 pandemic has had an unprecedented impact on humanity as well as research activities in life sciences and medicine. Between January and August 2020, the number of coronavirus-related scientific articles was rough...