Results 141 to 150 of about 4,033,484 (300)

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

The Macroeconomy and the Yield Curve: A Dynamic Latent Factor Approach [PDF]

We estimate a model that summarizes the yield curve using latent factors (specifically, level, slope, and curvature) and also includes observable macroeconomic variables (specifically, real activity, inflation, and the monetary policy instrument).
S. Boragan Aruoba, Francis X. Diebold, Glenn D. Rudebusch   +2 more
core  

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Dimensionality reduction of three-dimensional models using discrete cosine compression and latent coding

Revista UIS Ingenierías
This paper presents a methodology for dimensionality reduction of three-dimensional models through volumetric Discrete Cosine Transform (DCT) compression combined with nonlinear latent-space encoding. The proposed framework aims to efficiently represent
Andrés Diaz-Toro, Fausto Castro-Caicedo
doaj   +1 more source

Considerations for Fitting Dynamic Bayesian Networks With Latent Variables: A Monte Carlo Study. [PDF]

Appl Psychol Meas, 2022
Reichenberg RE, Levy R, Clark A.
europepmc   +1 more source

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

Advanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou, Qiang Qin, Xiqin Li, Hanyu Ding, Chun Xu, Yan He, Qingsong Ye   +6 more
wiley   +1 more source

Chronic Unpredictable Mild Stress Model of Depression: Possible Sources of Poor Reproducibility and Latent Variables. [PDF]

Biology (Basel), 2022
Markov DD, Novosadova EV.
europepmc   +1 more source

Equivalence of Causal Models with Latent Variables

, 2018
Peter Spirtes and Thomas Verma.
Thomas Verma (5372834), Peter Spirtes (5372207)   +1 more
core   +1 more source

An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing

Advanced Functional Materials, EarlyView.
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek, Junhwa Oh, Hyeonjung Kim, Minsik Park, Haein Cho, Jin Young Park, Hyeonchang Son, Taeyun Kim, Sung‐Un An, Yamin Zhang, Hyeon‐Jin Shin, Seyong Oh, Dong‐Ho Kang   +12 more
wiley   +1 more source

lavaan : An R Package for Structural Equation Modeling

Journal of Statistical Software, 2012
Structural equation modeling (SEM) is a vast field and widely used by many applied researchers in the social and behavioral sciences. Over the years, many software packages for structural equation modeling have been developed, both free and commercial ...
Yves Rosseel
doaj