Results 11 to 20 of about 8,187,354 (351)

Estimation of radioecological sensitivity [PDF]

Radioprotection, 2002
After the release of radionuclides into the environment it is important to be able to readily identify major routes of radiation exposure, the most highly exposed individuals or populations and the geographical areas of most concern. There have been significant recent improvements in our capability to estimate spatial variation in the environmental ...
Howard, B.J., Strand, P., Assimakopoulos, P., Bréchignac, F., Gasco, C., Métivier, H., Moberg, L., Smith, J.T., Tamponnet, C., Trueba, C., Voigt, G., Wright, S.M.   +11 more
openaire   +3 more sources

ABOUT ESTIMATION OF SOFTWARE TESTS SENSITIVITY TO TRANSIENT FAULTS [PDF]

Российский технологический журнал, 2016
The article suggests a method for estimation of the sensitivity of software tests to transient faults of a computer system. The method is based on statistical analysis of a program work results after performing a functional test with a submitted short ...
B. M. Basok, V. N. Zakharov, S. L. Frenkel   +2 more
doaj   +2 more sources

SPICER: Self‐supervised learning for MRI with automatic coil sensitivity estimation and reconstruction [PDF]

Magnetic Resonance in Medicine, 2022
To introduce a novel deep model‐based architecture (DMBA), SPICER, that uses pairs of noisy and undersampled k‐space measurements of the same object to jointly train a model for MRI reconstruction and automatic coil sensitivity estimation.
Yuyang Hu, Weijie Gan, Chunwei Ying, Tongyao Wang, C. Eldeniz, Jiaming Liu, Yasheng Chen, H. An, U. Kamilov   +8 more
semanticscholar   +1 more source

A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging [PDF]

IEEE journal of biomedical and health informatics, 2022
Magnetic resonance imaging (MRI) is an essential diagnostic tool that suffers from prolonged scan time. To alleviate this limitation, advanced fast MRI technology attracts extensive research interests.
Z. Wang, H. Fang, Chen Qian, Boxuan Shi, L. Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, D. Guo, X. Qu   +10 more
semanticscholar   +1 more source

Emergency Pull-Over Algorithm for Level 4 Autonomous Vehicles Based on Model-Free Adaptive Feedback Control With Sensitivity and Learning Approaches

IEEE Access, 2022
This paper presents an emergency pullover algorithm for fail-safe systems designed for level-4 autonomous vehicles. The proposed algorithm utilizes feedback gain adaptation, based on sensitivity estimation, and cost-based learning. Vehicle failure within
Jongmin Lee, Kwangseok Oh, Sechan Oh, Youngmin Yoon, Sangyoon Kim, Taejun Song, Kyongsu Yi   +6 more
doaj   +1 more source

Integrating Cyber Deception Into Attribute-Based Access Control (ABAC) for Insider Threat Detection

IEEE Access, 2022
Insider threat is an ever-present challenge to corporate security. The availability of knowledge and privileges to insiders makes it extremely difficult to prevent, detect or deter malicious insider activities.
Manar Alohaly, Olusesi Balogun, Daniel Takabi   +2 more
doaj   +1 more source

Sensitivity estimation of indium oxide thin film for gamma sensing

Journal of Materials Science, 2023
This article aims to study the modification in the structural, optical and electrical properties of indium oxide thin film after gamma irradiation and estimation of sensitivity for gamma sensing applications.
C. Aparna, P. Shetty, M. G. Mahesha, I. Yashodhara, N. Karunakara   +4 more
semanticscholar   +1 more source

Sensitivity-based Vulnerability Assessment of State Estimation

Journal of Modern Power Systems and Clean Energy, 2021
We propose a technique to assess the vulnerability of the power system state estimation. We aim at identifying the measurements that have a high potential of being the target of false data injection attacks.
Gonzalo E. Constante-Flores, Antonio J. Conejo, Jiankang Wang   +2 more
doaj   +1 more source

Context Sensitivity Estimation in Toxicity Detection

WOAH, 2021
User posts whose perceived toxicity depends on the conversational context are rare in current toxicity detection datasets. Hence, toxicity detectors trained on current datasets will also disregard context, making the detection of context-sensitive ...
Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos   +2 more
semanticscholar   +1 more source

Novel Estimation Methods for Sensitivity And AUC in Medical Diagnostic Study [PDF]

, 2022
In the medical diagnostic study, the accuracy of a diagnostic test is commonly evaluated based on its sensitivity and specificity. Both sensitivity and specificity are not fixed but depend on the cutoff chosen for that test.
Hai, Yan
core   +1 more source