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20052025
most cited6G Internet of Things: A Comprehensive Survey

1.4k citations

Showing 2019Show all

22 papers · 1 filter

math.OC20194 cited

Alternating conditional gradient method for convex feasibility problems

R. Díaz Millán, O. P. Ferreira, L. F. Prudente

The classical convex feasibility problem in a finite dimensional Euclidean space is studied in the present paper. We are interested in two cases. First, we assume to know how to co…

astro-ph.SR2019

Using the Stokes V widths of Fe I lines for diagnostics of the intrinsic solar photospheric magnetic field

M. Gordovskyy, S. Shelyag, P. K. Browning +1

The goal of this study is to explore a novel method for the solar photospheric magnetic field diagnostics using Stokes V widths of different magnetosensitive Fe~I spectral lines. W…

cs.LG20192 cited

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

Dang Nguyen, Sunil Gupta, Santu Rana +2

Many real-world functions are defined over both categorical and category-specific continuous variables and thus cannot be optimized by traditional Bayesian optimization (BO) method…

astro-ph.SR2019

High-resolution spectropolarimetric observations of the temporal evolution of magnetic fields in photospheric bright points

Peter H. Keys, Aaron Reid, Mihalis Mathioudakis +7

Context. Magnetic bright points (MBPs) are dynamic, small-scale magnetic elements often found with field strengths of the order of a kilogauss within intergranular lanes in the pho…

cs.CV20194 cited

Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory

Duc Nguyen, Nhan Tran, Hung Le

Convolutional Recurrent Neural Networks (CRNNs) excel at scene text recognition. Unfortunately, they are likely to suffer from vanishing/exploding gradient problems when processing…

cs.LG20197 cited

Improved histogram-based anomaly detector with the extended principal component features

Sunil Aryal, Arbind Agrahari Baniya, KC Santosh

In this era of big data, databases are growing rapidly in terms of the number of records. Fast automatic detection of anomalous records in these massive databases is a challenging…