Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon Product [0.03%]
基于SMAP四级碳产品监测美国本土农作物生长状况
Patrick M Wurster,Marco Maneta,John S Kimball et al.
Patrick M Wurster et al.
Accurate monitoring of crop condition is critical to detect anomalies that may threaten the economic viability of agriculture and to understand how crops respond to climatic variability. Retrievals of soil moisture and vegetation informatio...
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction [0.03%]
无偏预训练模型预测的子群不变扰动方法
Puspita Majumdar,Saheb Chhabra,Richa Singh et al.
Puspita Majumdar et al.
Modern deep learning systems have achieved unparalleled success and several applications have significantly benefited due to these technological advancements. However, these systems have also shown vulnerabilities with strong implications o...
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security [0.03%]
基于云的机器学习安全：系统性回顾
Adnan Qayyum,Aneeqa Ijaz,Muhammad Usama et al.
Adnan Qayyum et al.
With the advances in machine learning (ML) and deep learning (DL) techniques, and the potency of cloud computing in offering services efficiently and cost-effectively, Machine Learning as a Service (MLaaS) cloud platforms have become popula...
Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome [0.03%]
用于预测急性呼吸衰竭和急性呼吸窘迫综合征的机器学习方法
An-Kwok Ian Wong,Patricia C Cheung,Rishikesan Kamaleswaran et al.
An-Kwok Ian Wong et al.
Acute respiratory failure (ARF) is a common problem in medicine that utilizes significant healthcare resources and is associated with high morbidity and mortality. Classification of acute respiratory failure is complicated, and it is often ...
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities [0.03%]
人工智能的跨学科研究：挑战与机遇
Remy Kusters,Dusan Misevic,Hugues Berry et al.
Remy Kusters et al.
The use of artificial intelligence (AI) in a variety of research fields is speeding up multiple digital revolutions, from shifting paradigms in healthcare, precision medicine and wearable sensing, to public services and education offered to...
The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions [0.03%]
基于贝叶斯可加回归树的 intraocular 镜片安全预测公式
Gerald P Clarke,Adam Kapelner
Gerald P Clarke
Purpose: Our work introduces a highly accurate, safe, and sufficiently explicable machine-learning (artificial intelligence) model of intraocular lens power (IOL) translating into better post-surgical outcomes for patients with cataracts. W...
Ian McCulloh,Kevin Kiernan,Trevor Kent
Ian McCulloh
The novel coronavirus, SARS-CoV-2, commonly known as COVID19 has become a global pandemic in early 2020. The world has mounted a global social distancing intervention on a scale thought unimaginable prior to this outbreak; however, the econ...
CADRE: A Collaborative, Cloud-Based Solution for Big Bibliographic Data Research in Academic Libraries [0.03%]
CADRE：学术图书馆中大型文献数据研究的协作云解决方案
Patricia L Mabry,Xiaoran Yan,Valentin Pentchev et al.
Patricia L Mabry et al.
Big bibliographic datasets hold promise for revolutionizing the scientific enterprise when combined with state-of-the-science computational capabilities. Yet, hosting proprietary and open big bibliographic datasets poses significant difficu...
The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health [0.03%]
来自大规模队列的人类血液转录组及其与衰老和健康的关系
Maria Schmidt,Lydia Hopp,Arsen Arakelyan et al.
Maria Schmidt et al.
Background: The blood transcriptome is expected to provide a detailed picture of an organism's physiological state with potential outcomes for applications in medical diagnostics and molecular and epidemiological research. We here present t...
The Role of Cue Utilization and Cognitive Load in the Recognition of Phishing Emails [0.03%]
有关钓鱼邮件认知的线索利用和认知负荷的作用研究
George Nasser,Ben W Morrison,Piers Bayl-Smith et al.
George Nasser et al.
Phishing emails represent a major threat to online information security. While the prevailing research is focused on users' susceptibility, few studies have considered the decision-making strategies that account for skilled detection. One r...