Results 51 to 60 of about 739,642 (309)

Hierarchical Wireless Multimedia Sensor Networks for Collaborative Hybrid Semi-Supervised Classifier Learning

Sensors, 2007
Wireless multimedia sensor networks (WMSN) have recently emerged as one ofthe most important technologies, driven by the powerful multimedia signal acquisition andprocessing abilities.
Liang Ding, Daowei Bi, Sheng Wang, Xue Wang   +3 more
doaj   +1 more source

An Improved Preprocessing For Biosonar Target Classification

, 2004
{"references": ["R. F. Lyon, ''A computational model of filtering, detection, and compression in cochlea,'' in Proc. IEEE Intl. Conf. On Acoust.Speech,Signal Processing, pp. 1282-1285, Paris, France, May, 1982.", "R.D. Patterson, and J. Holdsworth, ''A functional model of neural activity patterns and auditory images,'' William A. Ainsworth (ed.), vol.3,
Temel, T., Hallam, John
openaire   +3 more sources

Target-Dependent Sentiment Classification With BERT [PDF]

IEEE Access, 2019
Research on machine assisted text analysis follows the rapid development of digital media, and sentiment analysis is among the prevalent applications. Traditional sentiment analysis methods require complex feature engineering, and embedding representations have dominated leaderboards for a long time. However, the context-independent nature limits their
Zhengjie Gao, Ao Feng, Xinyu Song 0005, Xi Wu 0004   +3 more
openaire   +2 more sources

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

Contribution of evidence-similarity to target classification [PDF]

2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2012
To resolve the target classification problem under the condition of interference, the paper presents a target classification method based on the evidence-similarity. Because the results of Dempster-Shafer Theory (DST) and Dezert-Smarandache Theory (DSmT) are used in different conflict condition.
Jian Li, Jinhui Lan
openaire   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source

Seismic Target Classification Using a Wavelet Packet Manifold in Unattended Ground Sensors Systems

Sensors, 2013
One of the most challenging problems in target classification is the extraction of a robust feature, which can effectively represent a specific type of targets.
Enliang Song, Baoqing Li, Xiaobing Yuan, Xin Zhang, Jingchang Huang, Qianwei Zhou   +5 more
doaj   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

A CNN‑Based Method for Sparse SAR Target Classification with Grad‑CAM Interpretation

Transactions of Nanjing University of Aeronautics and Astronautics
In recent years， deeps learning has been widely applied in synthetic aperture radar （SAR） image processing. However， the collection of large-scale labeled SAR images is challenging and costly， and the classification accuracy is often poor when only ...
JI Zhongyuan, ZHANG Jingjing, LIU Zehao, LI Guoxu   +3 more
doaj   +1 more source

SAR Target Classification Based on Integration of ASC Parts Model and Deep Learning Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Automatic target recognition of synthetic aperture radar (SAR) images has been a vital issue in recent studies. The recognition methods can be divided into two main types: traditional machine learning methods and deep-learning-based methods.
Sijia Feng, Kefeng Ji, Linbin Zhang, Xiaojie Ma, Gangyao Kuang   +4 more
doaj   +1 more source