Results 61 to 70 of about 27,483 (269)

Nearly Exact Discrepancy Principle for Low-Count Poisson Image Restoration

Journal 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, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari   +3 more
doaj   +1 more source

Harnessing the Orientation of Columnar Discotic Liquid Crystals for Narrowband Blue Emission with Enhanced Out‐Coupling Efficiency Toward Improvement of SP‐OLEDs Performance

Advanced Functional Materials, EarlyView.
Solution‐processed OLEDs containing discotic liquid‐crystalline MR‐TADF emitters are reported. Supramolecular self‐assembly induces homeotropic columnar alignment, enforcing preferential horizontal orientation of the emitter transition dipole moment in spin‐coated films, which leads to an enhancement in the device light outcoupling efficiency while ...
Joydip De, Abhishek Kumar Gupta, Džiugas Litvinas, Francisco Tenopala‐Carmona, Matthias Lehmann, Malte C. Gather, Eli Zysman‐Colman   +6 more
wiley   +1 more source

Hardware acceleration of number theoretic transform for zk‐SNARK

Engineering Reports, EarlyView., 2023
An FPGA‐based hardware accelerator with a multi‐level pipeline is designed to support the large‐bitwidth and large‐scale NTT tasks in zk‐SNARK. It can be flexibly scaled to different scales of FPGAs and has been equipped in the heterogeneous acceleration system with the help of HLS and OpenCL.
Haixu Zhao, Dong Ding, Feng Wang, Pengcheng Hua, Ning Wang, Qin Wu, Zhilei Chai   +6 more
wiley   +1 more source

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

EURASIP 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

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

International 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, Sunghun Hwangbo, Dongwook Yang, Geonseok Lee   +3 more
doaj   +1 more source

Scalable Stochastic Alternating Direction Method of Multipliers

, 2015
Stochastic alternating direction method of multipliers (ADMM), which visits only one sample or a mini-batch of samples each time, has recently been proved to achieve better performance than batch ADMM. However, most stochastic methods can only achieve a convergence rate $O(1/\sqrt T)$ on general convex problems,where T is the number of iterations ...
Zhao, Shen-Yi, Li, Wu-Jun, Zhou, Zhi-Hua
openaire   +2 more sources

Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals

Advanced Functional Materials, EarlyView.
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser, Ana M. Valencia, Sergei I. Ivlev, Marc Zeplichal, Andreas Terfort, Caterina Cocchi, Gregor Witte   +6 more
wiley   +1 more source

Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel

Advanced Functional Materials, EarlyView.
This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar, Xuen J Ng, Lukas Lechel, Ashish Chand Rajwar, Hendrik Bargel, Abhishek A. Jalan   +5 more
wiley   +1 more source

Sparse temporal difference learning via alternating direction method of multipliers [PDF]

, 2016
Recent work in off-line Reinforcement Learning has focused on efficient algorithms to incorporate feature selection, via 1-regularization, into the Bellman operator fixed-point estimators. These developments now mean that over-fitting can be avoided when
Nelson, JDB, Tsipinakis, N
core  

Multifunctional Fluidic Units for Emergent, Responsive Robotic Behaviors

Advanced Materials, EarlyView.
A multifunctional reconfigurable fluidic unit can be used as sensor, valve and actuator is presented. A unique configuration combines the features of the three components as a Responsive self‐oscillating actuator. The remarkable versatility of the fluidic unit is demonstrated by building different robots with the same fluidic units only by varying ...
Mostafa Mousa, Alberto Comoretto, Johannes T.B. Overvelde, Antonio E. Forte   +3 more
wiley   +1 more source