output
19972026
most citedDeep Learning Based Text Classification: A Comprehensive Review

390 citations

Showing 2020Show all

48 papers · 1 filter

physics.optics2020★ 3 cited

Lasing condition for trapped modes in subwavelength--wired PT--symmetric resonators

Mauro Cuevas, Mojtaba Karimi, Carlos J Zapata-Ropdriguez

The ability to control the laser modes within a subwavelength resonator is of key relevance in modern optoelectronics. This work deals with the theoretical research on optical prop…

eess.SY2020

Radial Deformation Emplacement in Power Transformers Using Long Short-Term Memory Networks

Arash Moradzadeh, Kazem Pourhossein, Behnam Mohammadi-Ivatloo +2

A power transformer winding is usually subject to mechanical stress and tension because of improper transportation or operation. Radial deformation (RD) is an example of mechanical…

cs.CV2020★ 1 cited

Persian Handwritten Digit, Character and Word Recognition Using Deep Learning

Mehdi Bonyani, Simindokht Jahangard, Morteza Daneshmand

Digit, letter and word recognition for a particular script has various applications in todays commercial contexts. Nevertheless, only a limited number of relevant studies have deal…

econ.GN2020★ 16 cited

Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks

Sina Ardabili, Amir Mosavi, Asghar Mahmoudi +3

The recent developments of computer and electronic systems have made the use of intelligent systems for the automation of agricultural industries. In this study, the temperature va…

astro-ph.HE2020

Period change of binary pulsars due to the accretion of dark matter particles

Ebrahim Hassani, Hossein Ebadi, Reza Pazhouhesh

As binary systems move inside galaxies, they interact with the dark matter halo. This interaction leads to the accretion of dark matter particles inside binary components. The accr…

eess.IV2020★ 12 cited

Multi-focus Image Fusion for Visual Sensor Networks

Milad Abdollahzadeh, Touba Malekzadeh, Hadi Seyedarabi

Image fusion in visual sensor networks (VSNs) aims to combine information from multiple images of the same scene in order to transform a single image with more information. Image f…