Results 61 to 70 of about 27,846 (265)

Nearly Exact Discrepancy Principle for Low-Count Poisson Image Restoration

open access: yesJournal of Imaging, 2021
The effectiveness of variational methods for restoring images corrupted by Poisson noise strongly depends on the suitable selection of the regularization parameter balancing the effect of the regulation term(s) and the generalized Kullback–Liebler ...
Francesca Bevilacqua   +3 more
doaj   +1 more source

Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis

open access: yes, 2017
Spectral Clustering (SC) is a widely used data clustering method which first learns a low-dimensional embedding $U$ of data by computing the eigenvectors of the normalized Laplacian matrix, and then performs k-means on $U^\top$ to get the final ...
Feng, Jiashi   +3 more
core   +1 more source

Porosity Engineering of MXene Architectures: Toward High‐Performance Aqueous Electrochemical Energy Storage

open access: yesAdvanced Materials, EarlyView.
This review systematically summarizes recent advances in porosity engineering of MXenes, with a focused discussion on their structure‐governed energy storage properties. A critical analysis of structure–property relationships is presented across alkali‐ion batteries, multivalent‐ion batteries, and supercapacitors.
Shude Liu   +8 more
wiley   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

open access: yesAdvanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald   +7 more
wiley   +1 more source

Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers

open access: yesInternational Journal of Computational Intelligence Systems, 2023
Deep learning has shown excellent performance in numerous machine-learning tasks, but one practical obstacle in deep learning is that the amount of computation and required memory is huge.
Kichun Lee   +3 more
doaj   +1 more source

ADMM-Net for Beamforming Based on Linear Rectification with the Atomic Norm Minimization

open access: yesRemote Sensing, 2023
Target misalignment can cause beam pointing deviations and degradation of sidelobe performance. In order to eliminate the effect of target misalignment, we formulate the jamming sub-space recovery problem as a linearly modified atomic norm-based ...
Zhenghui Gong   +4 more
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

open access: yesAdvanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen   +7 more
wiley   +1 more source

Fast-converging decentralized alternating direction method of multipliers for consensus optimization

open access: yesEURASIP Journal on Advances in Signal Processing
For its well-established convergence properties, simplicity, and applicability to various optimization problems, the alternating direction method of multipliers (ADMM) has been at the center of several research fields.
Jeannie He, Ming Xiao, Mikael Skoglund
doaj   +1 more source

Evolution of Materials and Device Stacks for HfO2‐Based Ferroelectric Memories

open access: yesAdvanced Materials Interfaces, EarlyView.
This review summarizes engineering strategies for HfO2 based ferroelectric memories with focus on FeCAP and FeFET structures. It describes how dopant design, stress effects, and interface engineering improve the bulk ferroelectric response. It further discusses how channel engineering supports reliable memory characteristics and scalable integration ...
Eunjin Kim, Jiyong Woo
wiley   +1 more source

Distributed Electric Vehicle Charging Scheduling with Transactive Energy Management

open access: yesEnergies, 2021
A distributed electric vehicle (EV) charging scheduling strategy with transactive energy (TE) management is presented in this paper to deal with technical issues in distribution network operation and discuss the economic benefits of EV charging.
Zhouquan Wu, Bo Chen
doaj   +1 more source

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