Results 31 to 40 of about 2,817,119 (330)

Deep learning in the fog [PDF]

open access: yesInternational Journal of Distributed Sensor Networks, 2019
In the era of a ubiquitous Internet of Things and fast artificial intelligence advance, especially thanks to deep learning networks and hardware acceleration, we face rapid growth of highly decentralized and intelligent solutions that offer functionality of data processing closer to the end user.
Andrzej Sobecki   +3 more
openaire   +4 more sources

Question Classification in Question Answering System using Combination of Ensemble Classification and Feature Selection [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2022
A Question Answering System (QAS) is a special form of information retrieval which consists of three parts: question processing, information retrieval, and answer selection. Determining the type of question is the most important part of QAS as it affects
Sh. Golzari   +4 more
doaj   +1 more source

Deep learning approach to scalable imaging through scattering media [PDF]

open access: yes, 2019
We propose a deep learning technique to exploit “deep speckle correlations”. Our work paves the way to a highly scalable deep learning approach for imaging through scattering media.Published ...
Li, Yunzhe, Tian, Lei, Xue, Yujia
core   +1 more source

Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks

open access: yesIEEE Access, 2022
This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks within the computer vision research area. We study the impact that different hyperparemeter configurations on an encoder-decoder visual attention architecture ...
Roberto Castro   +3 more
doaj   +1 more source

A Deep Learning Enabled Multi-Class Plant Disease Detection Model Based on Computer Vision

open access: yesAI, 2021
In this paper, a deep learning enabled object detection model for multi-class plant disease has been proposed based on a state-of-the-art computer vision algorithm. While most existing models are limited to disease detection on a large scale, the current
Arunabha M. Roy, Jayabrata Bhaduri
doaj   +1 more source

A Survey on Review Spam Detection Methods using Deep Learning Approach [PDF]

open access: yesInternational Journal of Web Research, 2022
Review spam is an opinion written to promote or demote a product or brand on websites and other internet services by some users. Since it is not easy for humans to recognize these types of opinions, a model can be provided to detect them. In recent years,
Mahmoud Aliarab, Kazim Fouladi-Ghaleh
doaj   +1 more source

Deep learning

open access: yesSIGGRAPH Asia 2019 Courses, 2018
Concepts, terminology, structures, no math, no code. Free open-source libraries do the hard work. My background: consultant, writer, director, etc.
Polson, Nicholas G., Sokolov, Vadim O.
  +6 more sources

Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

open access: yesBMC Medical Informatics and Decision Making, 2019
Following publication of the original ...
Muhammad Naseer Bajwa   +6 more
doaj   +1 more source

Generalizable and efficient cross‐domain person re‐identification model using deep metric learning

open access: yesIET Computer Vision, 2023
Most of the successful person re‐ID models conduct supervised training and need a large number of training data. These models fail to generalise well on unseen unlabelled testing sets.
Saba Sadat Faghih Imani   +2 more
doaj   +1 more source

UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2021
This paper presents a Convolutional Neural Networks (CNN) based Unsupervised Curriculum Learning approach for the recognition of water bodies to overcome the stated challenges for remote sensing based RGB imagery. The unsupervised nature of the presented
Nosheen Abid   +6 more
doaj   +1 more source

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