Results 121 to 130 of about 726,866 (303)

GLEM: a global–local enhancement method for fine-grained image recognition with attention erasure and multi-view cropping

Journal of King Saud University: Computer and Information Sciences
Fine-grained image recognition (FGIR) aims to distinguish between visual objects and their subcategories with subtle differences. Due to the highly similar features between categories in fine-grained image recognition tasks, the model requires more ...
Chenglong Zhou, Damin Zhang, Qing He, MingFang Li, MingRong Li, Xiaobo Zhou   +5 more
doaj   +1 more source

Development and Implementation of a Disease‐Targeted Storybook as a Clinical Tool for Children With Acute Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin, Usanarat Anurathapan, Rawiwan Roongpraiwan, Potchanee Dandamrongrak, Siriporn Nakhonchai, Pawin Numthavaj, Vilawan Chirdkiatgumchai   +6 more
wiley   +1 more source

A SIR Model with Incomplete Data for the Analysis of Influenza A Spread in Ningbo

Discrete Dynamics in Nature and Society
In this article, the SIR model is used to fit the spread of influenza A in Ningbo, ranging from January 1, 2023 to June 30, 2023. The data that can be collected is the daily newly confirmed cases, but the daily number of infected individuals and ...
Bingqing Wang, Yanyao Hu, Zhongdi Cen, Jian Huang, Tianfeng He, Aimin Xu   +5 more
doaj   +1 more source

Animal‐Assisted Activities With Therapy Dogs in Pediatric Oncology: A Multicenter Survey of the Current Status, Implementation, and Challenges in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig, Birgit Burkhardt, Christof M. Kramm, Kira Ostermann, Sarah C. Goretzki, Uta Dirksen, Nico Kurpiers, Michael M. Schündeln   +7 more
wiley   +1 more source

Cherry-Net: real-time segmentation algorithm of cherry maturity based on improved PIDNet

Frontiers in Plant Science
IntroductionAccurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting variation, and blurriness in natural orchard environments
Jie Cui, Jie Cui, Jie Cui, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lutao Gao, Lutao Gao, Lutao Gao, Chunhui Bai, Chunhui Bai, Chunhui Bai, Linnan Yang, Linnan Yang, Linnan Yang   +14 more
doaj   +1 more source

Big data is or big data are [PDF]

British Dental Journal, 2018
openaire   +2 more sources

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier, Mark Zobeck, Adam J. Esbenshade, Christopher C. Dvorak, Lillian Sung, David Freyer, Sarah Alexander, Etan Orgel, Nicole J. Ullrich, Zach Prudowsky, Brian Fisher, Caitlin W. Elgarten   +11 more
wiley   +1 more source

CTI-Thinker: an LLM-driven system for CTI knowledge graph construction and attack reasoning

Cybersecurity
With the increasing frequency of APT attacks, cyber defense urgently demands high-quality threat intelligence support. Cyber threat intelligence (CTI) knowledge graphs have demonstrated significant potential in aiding threat detection and behavioral ...
Xiuzhang Yang, Ruijie Zhong, Yuling Chen, Guojun Peng, Di Yao, Chaofan Chen, Chenyang Wang, Dongni Zhang, Yilin Zhou, Zixuan Yang   +9 more
doaj   +1 more source

Huq packaged data by city and year 2019-2024 [PDF]

Huq is a mobile phone app dataset. The app collects real-time, anonymised location data from users' smartphones, based on the use of a range of smart phone applications. This dataset offers researchers insights into human mobility patterns and behaviour.
Urban Big Data Centre, Huq
core  

Smarter learning software: Education and the big data imaginary [PDF]

, 2015
Big data and smarter learning software systems are beginning to impact on education, particularly within the schools sector. This paper traces the emergence of a ‘big data imaginary,’ a vision of a desirable future of education that its advocates believe
Williamson, Ben
core