Results 181 to 190 of about 4,845 (297)

Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex. [PDF]

Nat Neurosci
Wingert JC, Parida S, Norman-Haignere SV, David SV.   +3 more
europepmc   +1 more source

Scalable Computation of Topological Abstractions for Scalar Data

Computer Graphics Forum, EarlyView.
Abstract Topological data analysis has become an important tool for large scale scalar data analysis and visualization, efficiently extracting the inherent structure and features of interest of the data. However, with growing dataset sizes and complexity, it is increasingly becoming infeasible to compute topological abstractions of interest in serial ...
M. Will, J. Lukasczyk, J. Tierny, A. Gyulassy, G. H. Weber, H. Carr, C. Garth   +6 more
wiley   +1 more source

Automatic Modal Parameter Identification for Offshore Wind Turbines Using Modified Clustering-Based Methodology. [PDF]

Sensors (Basel)
Yang Y, Liang F, Zhu Q, Zhang H.
europepmc   +1 more source

The Decentralization of Liquor Policies in Texas During the Post‐Prohibition Era

International Economic Review, EarlyView.
ABSTRACT We examine the decentralization of liquor policies in Texas during the Post‐Prohibition era using newly collected historical legislative roll call data. By combining these data with local referendum vote shares, we analyze both legislators' and constituents' preferences on liquor policy.
Andrew Arnold, Holger Sieg
wiley   +1 more source

Comparison of Anomaly Detection Methods on Event-Based Vision Sensor Data in a High Noise Environment. [PDF]

Sensors (Basel)
Johnston W, Franz A, Young S, Oliver R, Theis Z, McReynolds B, Dexter M.   +6 more
europepmc   +1 more source

A note on generalised information criteria for structured sparse models

International Statistical Review, EarlyView.
Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes, Gabriel Jardim Pereira Pinto   +1 more
wiley   +1 more source

Overlap-Kernel EPI: Estimating MRI Shot-to-Shot Phase Variations by Shifted-Kernel Extraction From Overlap Regions at Arbitrary k-Space Locations. [PDF]

Magn Reson Med
Tian R, Uecker M, Zaitsev M, Scheffler K.   +3 more
europepmc   +1 more source

Assessing inconsistencies in the FITradeoff method: a comparison of two preference modeling paradigms

International Transactions in Operational Research, EarlyView.
Abstract Many decision‐making processes are susceptible to errors and inconsistencies introduced by decision‐makers (DMs). The development of decision support systems (DSS) has brought about a way to guide DMs through complex decision scenarios. However, due to the complexity of the process, inconsistencies may still arise.
Evanielle Barbosa Ferreira, Lucia Reis Peixoto Roselli, Adiel Teixeira de Almeida   +2 more
wiley   +1 more source

Linear Optimal Transport Subspaces for Point Set Classification. [PDF]

J Math Imaging Vis
Shifat-E-Rabbi M, Pathan NS, Li S, Zhuang Y, Rubaiyat AHM, Rohde GK.   +5 more
europepmc   +1 more source

Assessing second‐price auctions for parcel exchanges in last‐mile logistics

International Transactions in Operational Research, EarlyView.
Abstract The rapid growth of e‐commerce has led to multiple carriers operating in the same regions, creating opportunities for collaboration. However, logistics companies typically operate independently, leading to inefficiencies. Horizontal cooperation, where carriers share resources and infrastructure, can improve efficiency and reduce costs.
Christian Truden, Margaretha Gansterer
wiley   +1 more source