Results 51 to 60 of about 1,289,857 (204)

Damage Resistance of an fMRI-Spiking Neural Network Based on Speech Recognition Against Stochastic Attack

Biomimetics
Brain-like models are commonly used for pattern recognition, but they face significant performance degradation in neuromorphic hardware when exposed to complex electromagnetic environments.
Lei Guo, Huan Liu, Yihua Song, Nancheng Ma   +3 more
doaj   +1 more source

Extending Honneth’s Shift in Focus for Critical Theory [PDF]

, 2016
Axel Honneth has called for a change of focus in Critical Theory "from the self-generated independence of systems to the damage and distortion of social relations of recognition." I argue that Honneth does not shift his methodological focus ...
Giles, Douglas
core  

A Neural-Wavelet Technique for Damage Identification in the ASCE Benchmark Structure Using Phase II Experimental Data

Advances in Civil Engineering, 2010
Damage pattern recognition research represents one of the most challenging tasks in structural health monitoring (SHM). The vagueness in defining damage and the significant overlap between damage states contribute to the challenges associated with proper
Mahmoud M. Reda Taha
doaj   +1 more source

Structural Damage Recognition Based on the Finite Element Method and Quantum Particle Swarm Optimization Algorithm

IEEE Access, 2020
Structural damage recognition is always the concerned focus in many fields like aerospace, petroleum and petrochemical industry, industrial production and civil life.
Xin Zhang, Junjie Zhang, Yutao Hu, Tao Tang, Jianhai Yang, Yuxiang Zhang   +5 more
doaj   +1 more source

Interaction between Cannabinoid System and Toll-Like Receptors Controls Inflammation [PDF]

, 2016
Since the discovery of the endocannabinoid system consisting of cannabinoid receptors, endogenous ligands, and biosynthetic and metabolizing enzymes, interest has been renewed in investigating the promise of cannabinoids as therapeutic agents.
McCoy, Kathleen L.
core   +4 more sources

Barrier-to-autointegration factor 1 protects against a basal cGAS-STING response [PDF]

, 2020
Although the pathogen recognition receptor pathways that activate cell-intrinsic antiviral responses are well delineated, less is known about how the host regulates this response to prevent sustained signaling and possible immune-mediated damage. Using a
Artyomov, Maxim, Bambouskova, Monika, Byrum, Andrea K, Collins, Patrick L, Diamond, Michael S, Ma, Hongming, Miner, Jonathan J, Mosammaparast, Nima, Oltz, Eugene M, Porter, Sofia I, Qian, Wei, Zhang, Rong   +11 more
core   +2 more sources

Multi-Type Structural Damage Image Segmentation via Dual-Stage Optimization-Based Few-Shot Learning

Smart Cities
The timely and accurate recognition of multi-type structural surface damage (e.g., cracks, spalling, corrosion, etc.) is vital for ensuring the structural safety and service performance of civil infrastructure and for accomplishing the intelligent ...
Jiwei Zhong, Yunlei Fan, Xungang Zhao, Qiang Zhou, Yang Xu   +4 more
doaj   +1 more source

Quantification Method for In-Vitro Tissue Culture Plants Morphology using Object Tracking and Digital Image Analysis [PDF]

, 2008
Manual measurement of morphology variables on in-vitro stored plants usually cause either physical damage or microorganism infection such that further monitoring of their in-vitro performance is precluded. This study adapted computer vision technology by
., Sutoro, Buono, Agus, Hermadi, Irman, Prilianti, Kestrilia Rega   +3 more
core  

Respiratory antiviral immunity and immunobiotics: Beneficial effects on inflammation-coagulation interaction during influenza virus infection [PDF]

, 2016
Influenza virus (IFV) is a major respiratory pathogen of global importance, and the cause of a high degree of morbidity and mortality, especially in high-risk populations such as infants, elderly, and immunocompromised hosts.
Alvarez, Gladis Susana, Kitazawa, Haruki, Villena, Julio Cesar, Zelaya, María Hortensia del Rosario   +3 more
core   +1 more source

Deep Learning Based Intelligent Voiceprint Recognition, Positioning, and Perception in Cable Monitoring

IEEE Access
This article explores the application of deep learning based intelligent voiceprint recognition for cable monitoring, positioning and perception. In response to the monitoring needs of external force damage in cable trenches, the study combines deep ...
Yajun Huo, Kai Sun, Juan Du, Jun Liu, Yong Wang, Chun Wang, Liang Guo, Xu Cheng, Shangxiang Duan   +8 more
doaj   +1 more source