Results 1 to 10 of about 25,895,715 (350)

NFAD: fixing anomaly detection using normalizing flows [PDF]

PeerJ Computer Science, 2021
Anomaly detection is a challenging task that frequently arises in practically all areas of industry and science, from fraud detection and data quality monitoring to finding rare cases of diseases and searching for new physics.
Artem Ryzhikov, Maxim Borisyak, Andrey Ustyuzhanin, Denis Derkach   +3 more
doaj   +2 more sources

Publisher Correction: Parkinson’s disease prognostic scores for progression of cognitive decline

Scientific Reports, 2021
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Galina Gramotnev, Dmitri K. Gramotnev, Alexandra Gramotnev   +2 more
doaj   +1 more source

Bioequivalence data analysis [PDF]

Translational and Clinical Pharmacology, 2020
SAS® is commonly used for bioequivalence (BE) data analysis. R is a free and open software for general purpose data analysis, and is less frequently used than SAS® for BE data analysis. This tutorial explains how R can be used for BE data analysis to generate comparable results with SAS®.
Gowooni Park, Hyungsub Kim, Kyun-Seop Bae   +2 more
openaire   +2 more sources

Double-branch feature fusion transformer for hyperspectral image classification

Scientific Reports, 2023
Deep learning methods, particularly Convolutional Neural Network (CNN), have been widely used in hyperspectral image (HSI) classification. CNN can achieve outstanding performance in the field of HSI classification due to its advantages of fully ...
Lanxue Dang, Libo Weng, Yane Hou, Xianyu Zuo, Yang Liu   +4 more
doaj   +1 more source

Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience

Environmental Research Letters, 2022
The development of remotely sensed products such as land cover requires large amounts of high-quality reference data, needed to train remote sensing classification algorithms and for validation.
Linda See, Juan Carlos Laso Bayas, Myroslava Lesiv, Dmitry Schepaschenko, Olga Danylo, Ian McCallum, Martina Dürauer, Ivelina Georgieva, Dahlia Domian, Dilek Fraisl, Gerid Hager, Santosh Karanam, Inian Moorthy, Tobias Sturn, Anto Subash, Steffen Fritz   +15 more
doaj   +1 more source

The incidence of stroke among selected patients undergoing elective posterior lumbar fusion: a retrospective cohort study

BMC Musculoskeletal Disorders, 2020
Background Although stroke is a rare complication among spinal surgery patients, the recognition of this adverse event is critical given the aging population undergoing surgical procedures.
Patrick J. Arena, Jingping Mo, Charu Sabharwal, Elizabeth Begier, Xiaofeng Zhou, Alejandra Gurtman, Qing Liu, Rongjun Shen, Charles Wentworth, Kui Huang   +9 more
doaj   +1 more source

A Particle Swarm Optimization With Lévy Flight for Service Caching and Task Offloading in Edge-Cloud Computing

IEEE Access, 2022
Edge-cloud computing is an efficient approach to address the high latency issue in mobile cloud computing for service provisioning, by placing several computing resources close to end devices. To improve the user satisfaction and the resource efficiency,
Tieliang Gao, Qigui Tang, Jiao Li, Yi Zhang, Yiqiu Li, Jingya Zhang   +5 more
doaj   +1 more source

The incidence of acute myocardial infarction after elective spinal fusions or joint replacement surgery in the United States: a large-scale retrospective observational cohort study in 322,585 patients

Patient Safety in Surgery, 2021
Background Acute myocardial infarction (AMI) is an uncommon but fatal complication among patients undergoing elective spinal fusion surgery (SF), total hip arthroplasty (THA), and total knee arthroplasty (TKA). Our objective was to estimate the incidence
Patrick J. Arena, Jingping Mo, Qing Liu, Xiaofeng Zhou, Richard Gong, Charles Wentworth, Sundaresan Murugesan, Kui Huang   +7 more
doaj   +1 more source

Effective connectivity modulations related to win and loss outcomes

NeuroImage, 2020
Previous studies have characterized the brain regions involved in encoding monetary reward and punishment outcomes. The question of how this information is integrated across brain regions has received less attention.
Frederik Van de Steen, Ruth M. Krebs, Nigel Colenbier, Hannes Almgren, Daniele Marinazzo   +4 more
doaj   +1 more source

A Multi-Scale Object Detector Based on Coordinate and Global Information Aggregation for UAV Aerial Images

Remote Sensing, 2023
Unmanned aerial vehicle (UAV) image object detection has great application value in the military and civilian fields. However, the objects in the captured images from UAVs have problems of large-scale variation, complex backgrounds, and a large ...
Liming Zhou, Zhehao Liu, Hang Zhao, Yan-E Hou, Yang Liu, Xianyu Zuo, Lanxue Dang   +6 more
doaj   +1 more source