Daily Spatial Complete Soil Moisture Mapping Over Southeast China Using CYGNSS and MODIS Data [0.03%]
基于CYGNSS和MODIS数据的中国东南地区土壤墒情的日变化空间制图研究
Ting Yang,Zhigang Sun,Jundong Wang et al.
Ting Yang et al.
Daily spatial complete soil moisture (SM) mapping is important for climatic, hydrological, and agricultural applications. The Cyclone Global Navigation Satellite System (CYGNSS) is the first constellation that utilizes the L band signal tra...
Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA [0.03%]
一种局部尺度预报地面臭氧的机器学习方法的发展及其在华盛顿州肯纳威克市的应用研究
Kai Fan,Ranil Dhammapala,Kyle Harrington et al.
Kai Fan et al.
Chemical transport models (CTMs) are widely used for air quality forecasts, but these models require large computational resources and often suffer from a systematic bias that leads to missed poor air pollution events. For example, a CTM-ba...
Domenico Talia,Paolo Trunfio,Jesus Carretero et al.
Domenico Talia et al.
Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification [0.03%]
机器学习分类在2019年EVALI疫情期间自动检测推特上的与电子烟相关的推文
Yang Ren,Dezhi Wu,Avineet Singh et al.
Yang Ren et al.
There are increasingly strict regulations surrounding the purchase and use of combustible tobacco products (i.e., cigarettes); simultaneously, the use of other tobacco products, including e-cigarettes (i.e., vaping products), has dramatical...
Ruixiang Tang,Ninghao Liu,Fan Yang et al.
Ruixiang Tang et al.
Explainable machine learning attracts increasing attention as it improves the transparency of models, which is helpful for machine learning to be trusted in real applications. However, explanation methods have recently been demonstrated to ...
Nithin Govindarajan,Nico Vervliet,Lieven De Lathauwer
Nithin Govindarajan
We introduce a supervised learning framework for target functions that are well approximated by a sum of (few) separable terms. The framework proposes to approximate each component function by a B-spline, resulting in an approximant where t...
Najmeh Nakhaei Rad,Andriette Bekker,Mohammad Arashi et al.
Najmeh Nakhaei Rad et al.
This paper presents Bayesian directional data modeling via the skew-rotationally-symmetric Fisher-von Mises-Langevin (FvML) distribution. The prior distributions for the parameters are a pivotal building block in Bayesian analysis, therefor...
Network Models and Simulation Analytics for Multi-scale Dynamics of Biological Invasions [0.03%]
用于生物入侵多尺度动力学的网络模型及仿真分析
Abhijin Adiga,Nicholas Palmer,Young Yun Baek et al.
Abhijin Adiga et al.
Globalization and climate change facilitate the spread and establishment of invasive species throughout the world via multiple pathways. These spread mechanisms can be effectively represented as diffusion processes on multi-scale, spatial n...
Survival Analysis of COPD Patients in a 13-Year Nationwide Cohort Study of the Brazilian National Health System [0.03%]
一项关于巴西全民健康系统中慢性阻塞性肺疾病患者的13年全国队列生存分析研究
Ludmila Peres Gargano,Isabella de Figueiredo Zuppo,Mariana Martins Gonzaga do Nascimento et al.
Ludmila Peres Gargano et al.
Background: Chronic obstructive pulmonary disease (COPD) has an appreciable socioeconomical impact in low- and middle-income countries, but most epidemiological data originate from high-income countries. For this reason, ...
HPTMT Parallel Operators for High Performance Data Science and Data Engineering [0.03%]
高效的数据科学与数据工程的HPTMT并行操作符
Vibhatha Abeykoon,Supun Kamburugamuve,Chathura Widanage et al.
Vibhatha Abeykoon et al.
Data-intensive applications are becoming commonplace in all science disciplines. They are comprised of a rich set of sub-domains such as data engineering, deep learning, and machine learning. These applications are built around efficient da...