Results 151 to 160 of about 22,182 (296)
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
THIRD QUANTIZATION IN BERGMANN-WAGONER THEORY
The Wheeler-DeWitt (WDW) equation is a result of quantization of a geometry and matter ( SECOND QUANTIZATION OF GRAVITY), in this paper we consider the third quantization of a solvable inflationary universe model, i.e..by analogy with the quantum field ...
SÁNCHEZ, RUBÉN, MORA, CÉSAR
core
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
Quantization of classical mechanics: shall we Lie?
We propose a Lie-Noether-symmetry solution of two problems that arise with classical quantization: the quantization of higher-order (more than second) Euler-Lagrange ordinary differential equations of classical mechanics and the quantization of any ...
NUCCI, Maria Clara
core +1 more source
Quanta of Ettingshausen and magnetothermoelectric coefficients
Background. In narrow electrically conductive nanoribbons, for example, in graphene nanoribbons (GNR), two types of quantization of electronic states take place: dimensional quantization and magnetic quantization (Landau quantization).
Rudol'f A. Brazhe, Alena A. Grishina
doaj +1 more source
This work presents a comprehensive framework bridging device fabrication, modeling, and system‐level simulation for an indium‐gallium‐zinc‐oxide (IGZO) charge‐trap synaptic transistor‐based neuromorphic system. By developing a precise SPICE model derived from fabricated IGZO synaptic transistors, the study incorporates parasitic RC loads into array ...
Yumin Yun +5 more
wiley +1 more source
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi +5 more
wiley +1 more source
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
Geometric Nonuniformity Localizes Valence Orbitals in Gold Clusters: Case Study on [Au23(SC6H11)16]–
The electronic structure of [Au23(SC6H11)16]–, a monolayer‐protected gold cluster with a nonuniform Au13 core, was investigated. Anion photoelectron spectroscopy and density functional theory calculations revealed that the highest occupied molecular orbital (HOMO) and HOMO‐1 are localized on the two triangular Au3 units at the ends of the Au13 core ...
Yosuke Asami +3 more
wiley +2 more sources
Second quantization techniques in the scattering of nonidentical composite bodies
Second quantization techniques for describing elastic and inelastic interactions between nonidentical composite bodies are presented and are applied to nucleus-nucleus collisions involving ground-state and one-particle-one-hole excitations.
Deutchman, P. A. +2 more
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