Results 101 to 110 of about 23,384 (296)
Noise-Enhanced Associative Memories [PDF]
, 2013 Recent advances in associative memory design through structured pattern sets and graph-based inference algorithms allow reliable learning and recall of exponential numbers of patterns.
Amir Hesam Salavati +7 more
core +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
The Wavelet-based Estimation for Long Memory Signal Plus Noise Models [PDF]
We propose new wavelet-based procedure to estimate the memory parameter of an unobserved process from an observed process affected by noise in order to improve the performance of the estimator by taking into account the dependency of the wavelet ...
Kei Nanamiya
core
Advanced Intelligent Discovery, EarlyView.The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Weighted polynomial digital predistortion for low memory effect Doherty power amplifier
, 2019 We have proposed a simple and effective weighted polynomial digital predistortion algorithm, which consists of weighting, least square polynomial fit, and de-weighting. The weighting factor is introduced to describe the signal distribution statistics and
Cha, J +7 more
core +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Advanced Intelligent Discovery, EarlyView.Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Tensor-Based Model Reduction and Identification for Generalized Memory Polynomial
IEEE Transactions on Automation Science and Engineering13 pages, 12 ...
Yuchao Wang, Yimin Wei 0001
openaire +2 more sources
A Memory Polynomial Predistorter Implemented Using Tms320c67xx
, 2008 Digital baseband predistortion is a highly cost effective approach to linearize modern RF power amplifiers (PAs). Traditionally, the PA is considered a memoryless nonlinear device.
Lei Ding +3 more
core
Verificação de consistência e coerência de memória compartilhada para multiprocessamento em chip [PDF]
, 2014 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2014O multiprocessamento em chip sob a crescente demanda por desempenho leva a um número crescente de ...
Henschel, Olav Philipp
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