Results 81 to 90 of about 3,449 (252)
This review redefines radiotherapy‐triggered drug delivery systems through structural disassembly and molecular actuation, proposing a translation‐oriented framework for dose‐correlated activation to advance clinically integrated precision oncology. ABSTRACT Radiotherapy‐triggered drug delivery systems (RDDS) promise to integrate the spatial precision ...
Jianv Jiang +3 more
wiley +1 more source
Electroencephalography (EEG) signals are frequently compromised by missing data due to electrode contact issues or subject movement. Tensor decomposition has emerged as a powerful technique for analyzing multidimensional EEG data.
Yue Zhang +3 more
doaj +1 more source
Bayesian Adaptive Tucker Decompositions for Tensor Factorization
Tucker tensor decomposition offers a more effective representation for multiway data compared to the widely used PARAFAC model. However, its flexibility brings the challenge of selecting the appropriate latent multi-rank. To overcome the issue of pre-selecting the latent multi-rank, we introduce a Bayesian adaptive Tucker decomposition model that ...
Stolf, Federica, Canale, Antonio
openaire +3 more sources
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +1 more source
Accelerated Low-Rank Tensor Completion via Projected Tensor Block Coordinate Descent
The low-rank tensor completion problem aims to find a low-rank approximation of a tensor by filling in missing entries from partially observed entries to enhance the accuracy of the tensor data analysis.
Geunseop Lee
doaj +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
System-Specific Separable Basis Based on Tucker Decomposition: Application to Density Functional Calculations. [PDF]
Woo J, Kim WY, Choi S.
europepmc +1 more source
A Quantitative Lithium Inventory Framework for Anode‐Free Lithium Metal Batteries
A component‐resolved lithium inventory framework quantitatively tracks Li redistribution across the cell in anode‐free NMC622||Cu pouch cells throughout cycling. Three sequential degradation stages are identified: formation‐driven cathode Li depletion, midlife inactive Li0 accumulation, and late‐stage runaway SEI thickening. The cathode, as the sole Li
Wurigumula Bao +9 more
wiley +1 more source
Hyperspectral Image Denoising via
This article studies the mixed noise removal problem for hyperspectral images (HSIs), which often suffer from Gaussian noise and sparse noise. Conventional denoising models mainly employ the $L_{1}$-norm-based regularizers to remove sparse noise and ...
Xin Tian, Kun Xie, Hanling Zhang
doaj +1 more source

