Results 61 to 70 of about 739,642 (309)

A Target Classification Decision Aid

CoRR, 2013
A submarine's sonar team is responsible for detecting, localising and classifying targets using information provided by the platform's sensor suite. The information used to make these assessments is typically uncertain and/or incomplete and is likely to require a measure of confidence in its reliability.
openaire   +3 more sources

Domain definition and target classification for CASP7 [PDF]

Proteins: Structure, Function, and Bioinformatics, 2007
Experimentally determined protein structures formed the basis of the CASP7 prediction assessments. These target structures were assigned to one or more tertiary structure prediction categories and where necessary were divided into structural domains. Boundaries for these domains were based on visual inspection of the targets and superpositions of the ...
Clarke, N. D., Ezkurdia, I., Kopp, J., Read, R. J., Schwede, T., Tress, M.   +5 more
openaire   +2 more sources

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +1 more source

Multi-band Multi-angle FMCW Radar Low-Slow-Small Target Detection Dataset (LSS-FMCWR-2.0) and Feature Fusion Classification Methods

Leida xuebao
This study addresses the issue of fine-grained feature extraction and classification for Low-Slow-Small (LSS) targets, such as birds and drones, by proposing a multi-band multi-angle feature fusion classification method.
Xiaolong CHEN, Wang YUAN, Xiaolin DU, Jinhao WANG, Ningyuan SU, Jian GUAN   +5 more
doaj   +1 more source

The Application of Evidence Theory in Supplier Evaluation

Journal of Harbin University of Science and Technology, 2017
Supplier evaluation is significant for enterprise’s development． Nevertheless，as different enterprises have various restrictions such as target，technology，management and so on． Firstly，in accordance with the need of enterprises according to their ...
WANG Guang-ze, YANG Gui-zhi, HU Nan-nan, ZHAO Li-hua   +3 more
doaj   +1 more source

Claudin‐6 Protein Expression in Atypical Teratoid/Rhabdoid Tumors Is Strongly Enriched in the Molecular Subgroup AT/RT‐TYR

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke, Christian Thomas, Michael C. Frühwald, Pascal D. Johann, Martin Hasselblatt   +4 more
wiley   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source

Simultaneous Classification of Objects with Unknown Rejection (SCOUR) Using Infra-Red Sensor Imagery

Sensors
Recognizing targets in infra-red images is an important problem for defense and security applications. A deployed network must not only recognize the known classes, but it must also reject any new or unknown objects without confusing them to be one of ...
Adam Cuellar, Daniel Brignac, Abhijit Mahalanobis, Wasfy Mikhael   +3 more
doaj   +1 more source

True-Color Three-Dimensional Imaging and Target Classification BASED on Hyperspectral LiDAR

Remote Sensing, 2019
True-color three-dimensional (3D) imaging exploits spatial and spectral information and can enable accurate feature extraction and object classification.
Bowen Chen, Shuo Shi, Wei Gong, Jia Sun, Biwu Chen, Lin Du, Jian Yang, Kuanghui Guo, Xingmin Zhao   +8 more
doaj   +1 more source

CLISAR-Net: A Deformation-Robust ISAR Image Classification Network Using Contrastive Learning

Remote Sensing, 2022
The inherent unknown deformations of inverse synthetic aperture radar (ISAR) images, such as translation, scaling, and rotation, pose great challenges to space target classification. To achieve high-precision classification for ISAR images, a deformation-
Peishuang Ni, Yanyang Liu, Hao Pei, Haoze Du, Haolin Li, Gang Xu   +5 more
doaj   +1 more source