Results 61 to 70 of about 11,597 (212)

Evidence of resistive switching into a dynamical state in antiferromagnetic iridates

open access: yesAIP Advances, 2019
We investigate the electrically-driven switching between low and high resistance states in antiferromagnetic Sr3Ir2O7 single crystals. We demonstrate that the switching state at high electrical biases displays an increased noise pattern, which is ...
Morgan Williamson   +4 more
doaj   +1 more source

Deep neural network analysis models for complex random telegraph signals

open access: yesScientific Reports, 2023
Time-fluctuating signals are ubiquitous and diverse in many physical, chemical, and biological systems, among which random telegraph signals (RTSs) refer to a series of instantaneous switching events between two discrete levels from single-particle ...
Marcel Robitaille   +4 more
doaj   +1 more source

A Method of RTS Noise Identification in Noise Signals of Semiconductor Devices in the Time Domain

open access: yesMetrology and Measurement Systems, 2010
In the paper a new method of Random Telegraph Signal (RTS) noise identification is presented. The method is based on a standardized histogram of i nstantaneous noise values and processing by Gram-Charlier series. To find a device generating RTS noise by the presented method one should count t he number of significant coefficients of the Gram- Charlier ...
Barbara Stawarz-Graczyk   +2 more
openaire   +1 more source

Track Record Arguments in Normative Ethics

open access: yesPacific Philosophical Quarterly, EarlyView.
ABSTRACT Track record arguments (TRAs) contend that it speaks in favor of an ethical theory (such as utilitarianism) if many of its past proponents had moral views that were controversial at their time but which we now consider to be clearly true (e.g., women's equal rights in 18th century Europe). This paper explores how to construct potentially sound
Leonard Dung
wiley   +1 more source

Measurement and extraction of RTS parameters under 'Switched Biased' conditions in MOSFETS [PDF]

open access: yes, 2003
With decreasing device dimensions, the low-frequency noise power spectrum of MOSFETs is dominated by Lorentzians, arising from Random Telegraph Signals (RTS).
Salm, Cora   +5 more
core  

Column-Parallel Correlated Multiple Sampling Circuits for CMOS Image Sensors and Their Noise Reduction Effects

open access: yesSensors, 2010
For low-noise complementary metal-oxide-semiconductor (CMOS) image sensors, the reduction of pixel source follower noises is becoming very important. Column-parallel high-gain readout circuits are useful for low-noise CMOS image sensors.
Shoji Kawahito   +3 more
doaj   +1 more source

How to Match Cognitive Model Predictions With EEG Data

open access: yesTopics in Cognitive Science, EarlyView.
Abstract Reliably identifying relevant brain areas implicated by the simulated activity from cognitive models is still an unsolved problem for cognitive modeling, particularly when matching model output with human electroencephalography (EEG) data. We propose a new method involving postprocessing of ACT‐R module activity and clustered EEG component ...
Kai Preuss   +3 more
wiley   +1 more source

Reaction Time to Amplitude-Modulated Tones Under Spectral Masking: Implications for Architectural Acoustic Design

open access: yesApplied Sciences
Detectability of auditory signals in built environments is a critical issue in architectural acoustics, particularly in public spaces where notification sounds must be perceived reliably under background noise. This study investigated reaction times (RTs)
Ryota Shimokura, Yoshiharu Soeta
doaj   +1 more source

Speech perception in noise in normally hearing children: does binaural frequency modulated fitting provide more benefit than monaural frequency modulated fitting?

open access: yesAudiology Research, 2011
The aim of the present study was to compare the benefit of monaural versus binaural ear-level frequency modulated (FM) fitting on speech perception in noise in children with normal hearing.
Siti Zamratol-Mai Sarah Mukari   +2 more
doaj   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

open access: yesJournal of Forecasting, Volume 45, Issue 4, Page 1633-1651, July 2026.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer   +3 more
wiley   +1 more source

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