Results 41 to 50 of about 2,235,948 (277)

Space Targets with Micro-Motion Classification Using Complex-Valued GAN and Kinematically Sifted Methods

Remote Sensing, 2023
Space target classification based on micro-motion characteristics has become a subject of great interest in the field of radar, particularly when using deep learning techniques. However, in practical applications, the ability of deep learning is hampered
Lixun Han, Cunqian Feng, Xiaowei Hu
doaj   +1 more source

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Spectrometer‐Less Remote Sensing Image Classification Based on Gate‐Tunable van der Waals Heterostructures

Advanced Science
Remote sensing technology, which conventionally employs spectrometers to capture hyperspectral images, allowing for the classification and unmixing based on the reflectance spectrum, has been extensively applied in diverse fields, including environmental
Yali Yu, Mianzeng Zhong, Tao Xiong, Jian Yang, Pengwei Hu, Haoran Long, Ziqi Zhou, Kaiyao Xin, Yue‐Yang Liu, Juehan Yang, Jianzhong Qiao, Duanyang Liu, Zhongming Wei   +12 more
doaj   +1 more source

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

Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification

, 2018
We consider the cross-domain sentiment classification problem, where a sentiment classifier is to be learned from a source domain and to be generalized to a target domain.
Dahlmeier, Daniel, He, Ruidan, Lee, Wee Sun, Ng, Hwee Tou   +3 more
core   +1 more source

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source

Evading Classifiers by Morphing in the Dark

, 2017
Learning-based systems have been shown to be vulnerable to evasion through adversarial data manipulation. These attacks have been studied under assumptions that the adversary has certain knowledge of either the target model internals, its training ...
Chang, Ee-Chien, Dang, Hung, Huang, Yue
core   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 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

Deep Memory Networks for Attitude Identification

, 2017
We consider the task of identifying attitudes towards a given set of entities from text. Conventionally, this task is decomposed into two separate subtasks: target detection that identifies whether each entity is mentioned in the text, either explicitly ...
Chang C.-C., Collobert R., De Marneffe M.-C., Faulkner A., Gimpel K., Glorot X., Hasan K. S., Hermann K. M., Irsoy O., Jiang L., Kingma D., Kobayashi N., Le Q. V., Li F., Mikolov T., Mohammad S. M., Popescu A., Socher R., Socher R., Sukhbaatar S., Vo D.-T., Walker M. A., Wang S., Zhang M., Zirn C.   +24 more
core   +1 more source