Results 151 to 160 of about 154,546 (314)
AN L1 CRITERION FOR DICTIONARY LEARNING BY SUBSPACE IDENTIFICATION
Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: 225913 (project SMALL).EPSRC Leadership Fellowship (EP/G007177 ...
Gribonval, Rémi +11 more
core +1 more source
Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing
Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker +5 more
wiley +1 more source
Construction Method of Sparse Dictionary for Multi-order FRFT Domain Feature Fusion
Reverberation constitutes a primary interference for active sonar signals, particularly the intense reverberation originating from the reflection of the incident signal.
Tongjing Sun, Lei Chen, XiaoHong Deng
doaj +1 more source
MXene Wrapped Magnetic Mesocrystals for Durable Redox Catalytic Cancer Therapy and Responsive MRI
Conformal wrapping of ultrathin Ti3C2Tx MXene nanosheets on Fe3O4 mesocrystals creates topology‐stabilized Schottky junctions that direct photoinduced electron transfer under NIR irradiation. The unique architecture sustains Fenton catalysis, promotes continuous hydroxyl radical production, and provides photo‐responsive MRI contrast.
Min Jun Ko +10 more
wiley +1 more source
Using underapproximations for sparse nonnegative matrix factorization [PDF]
Nonnegative Matrix Factorization (NMF) has gathered a lot of attention in the last decade and has been successfully applied in numerous applications.
GILLIS, Nicolas, GLINEUR, François
core
Clustering before training large datasets - Case study: K-SVD
Training and using overcomplete dictionaries has been the subject of many developments in the area of signal processing and sparse representations. The main idea is to train a dictionary that is able to achieve good sparse representations of the items ...
Rusu, Cristian
core +1 more source
We introduce a capillary‐filtering‐based particle‐filling (CFPF) process that simultaneously forms vertical thermal pathways and electrical vias within µ‐pores. In situ microfluidic analysis reveals that capillary‐driven velocity gradients generate vorticity that governs µ‐platelet rotation and vertical alignment.
Yujin Mun +11 more
wiley +1 more source
Bacterial‐Electrochemical Platform Utilizing a MXene‐Peptide Hydrogel
A peptide‐based fibrillar hydrogel incorporating MXene facilitates efficient electron delivery to intracellular recombinant [FeFe]‐hydrogenase enzyme in E. coli, enabling sustained bioelectrochemical H2 production without engineered exoelectrogenicity pathways.
Oren Ben‐Zvi +6 more
wiley +1 more source
Exploring non-zero position constraints: algorithm-hardware co-designed DNN sparse training method
On-device learning enables edge devices to continuously adapt to new data for AI applications. Leveraging sparsity to eliminate redundant computation and storage usage during training is a key approach to improving the learning efficiency of edge deep ...
WANG Miao, ZHANG Shengbing, ZHANG Meng
doaj +1 more source
Janus Photonic Graphics by Stratified Assembly of Two Distinct Colloids
Double‐sided Janus photonic micropatterns with vivid structural colors are fabricated through a single‐step bottom‐up strategy. Density‐driven stratification and depletion‐mediated crystallization of PMMA and PS binary colloids lead to exclusive lattices on opposite surfaces under centrifugal force.
Young Geon Kim +4 more
wiley +1 more source

