Results 141 to 150 of about 726,041 (339)

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

open access: yesAdvanced Functional Materials, EarlyView.
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein   +4 more
wiley   +1 more source

A Systematic Survey of Sparse Clustering

open access: yesIEEE Access
Handling a vast amount of high-dimensional data has always been challenging. The advancement of computer technology has led to an exponential growth of accumulated information where storing and processing are to be carefully handled since not all ...
Josephine Bernadette M. Benjamin   +1 more
doaj   +1 more source

Model-based sparse component analysis for reverberant speech localization

open access: gold, 2014
Afsaneh Asaei   +3 more
openalex   +2 more sources

Slowly Varying Regression Under Sparsity

open access: yesOperations Research
Building Sparse and Temporally or Spatially Linked Regression Models The framework of slowly varying regression under sparsity addresses many problems in machine learning where the underlying model is sparse and varies slowly and sparsely. This includes problems with temporally or spatially varying structures.
Dimitris Bertsimas   +3 more
openaire   +2 more sources

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

open access: yesAdvanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim   +8 more
wiley   +1 more source

Sparse Multi-View K-Means Clustering

open access: yesIEEE Access
In machine learning, k-means clustering is an unsupervised leaning technique to partition the data into k clusters that are homogeneous within the cluster and heterogeneous between clusters.
Miin-Shen Yang, Shazia Parveen
doaj   +1 more source

Beyond Moore-Penrose: Sparse pseudoinverse

open access: gold, 2013
Ivan Dokmanić   +2 more
openalex   +2 more sources

Sparsity

open access: yes, 2019
info:eu-repo/semantics ...
openaire   +1 more source

Exploring sparsity in graph transformers

open access: yesNeural Networks
9 pages, 8 ...
Chuang Liu   +7 more
openaire   +3 more sources

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