Results 151 to 160 of about 133,224 (286)
Stochastic Resonance in Organic Electronic Devices. [PDF]
Suzuki Y, Asakawa N.
europepmc +1 more source
Organic Thin‐Film Transistors for Neuromorphic Computing
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy +2 more
wiley +1 more source
Stochastic Resonance with Parameter Estimation for Enhancing Unknown Compound Fault Detection of Bearings. [PDF]
Xu M +5 more
europepmc +1 more source
Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak +2 more
wiley +1 more source
Tinnitus is associated with improved cognitive performance and speech perception-Can stochastic resonance explain? [PDF]
Schilling A, Krauss P.
europepmc +1 more source
Abstract Antimicrobial resistance has become a major threat to human health, particularly for Gram‐negative bacteria such as Acinetobacter baumannii and Klebsiella pneumoniae. Disruption of membrane integrity is regarded as a promising antimicrobial strategy that does not induce distinct drug resistance, while increasing the internalization of drug ...
Lei Hao +10 more
wiley +1 more source
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque +7 more
wiley +1 more source
The Origin of Vasomotion and Stochastic Resonance in Vasomotion. [PDF]
Liu S, Zhao L, Liu Y.
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
A novel untrained SSVEP-EEG feature enhancement method using canonical correlation analysis and underdamped second-order stochastic resonance. [PDF]
Chen R +6 more
europepmc +1 more source

