skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 77  for All Library Resources

Results 1 2 3 4 next page
Refined by: Journal Title: Multimedia Tools And Applications remove subject: Neural Networks remove subject: Technology remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Impact of convolutional neural network and FastText embedding on text classification
Material Type:
Article
Add to My Research

Impact of convolutional neural network and FastText embedding on text classification

Multimedia tools and applications, 2023-02, Vol.82 (4), p.5569-5585 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-13459-x

Full text available

2
Ethio-Semitic language identification using convolutional neural networks with data augmentation
Material Type:
Article
Add to My Research

Ethio-Semitic language identification using convolutional neural networks with data augmentation

Multimedia tools and applications, 2024-04, Vol.83 (12), p.34499-34514 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-17094-y

Digital Resources/Online E-Resources

3
Text classification of Chinese news based on multi-scale CNN and LSTM hybrid model
Material Type:
Article
Add to My Research

Text classification of Chinese news based on multi-scale CNN and LSTM hybrid model

Multimedia tools and applications, 2023-06, Vol.82 (14), p.20975-20988 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-14450-w

Digital Resources/Online E-Resources

4
Abstractive text summarization using LSTM-CNN based deep learning
Material Type:
Article
Add to My Research

Abstractive text summarization using LSTM-CNN based deep learning

Multimedia tools and applications, 2019-01, Vol.78 (1), p.857-875 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2018 ;Multimedia Tools and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-018-5749-3

Full text available

5
Cross-modal multi-headed attention for long multimodal conversations
Material Type:
Article
Add to My Research

Cross-modal multi-headed attention for long multimodal conversations

Multimedia tools and applications, 2023-12, Vol.82 (29), p.45679-45697 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-15606-4

Digital Resources/Online E-Resources

6
A hybrid approach of Poisson distribution LDA with deep Siamese Bi-LSTM and GRU model for semantic similarity prediction for text data
Material Type:
Article
Add to My Research

A hybrid approach of Poisson distribution LDA with deep Siamese Bi-LSTM and GRU model for semantic similarity prediction for text data

Multimedia tools and applications, 2023-10, Vol.82 (24), p.37221-37248 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-15050-4

Digital Resources/Online E-Resources

7
Paraphrase detection using LSTM networks and handcrafted features
Material Type:
Article
Add to My Research

Paraphrase detection using LSTM networks and handcrafted features

Multimedia tools and applications, 2021-02, Vol.80 (4), p.6479-6492 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-020-09996-y

Full text available

8
Stock prediction using deep learning
Material Type:
Article
Add to My Research

Stock prediction using deep learning

Multimedia tools and applications, 2017-09, Vol.76 (18), p.18569-18584 [Peer Reviewed Journal]

Springer Science+Business Media New York 2016 ;Multimedia Tools and Applications is a copyright of Springer, (2016). All Rights Reserved. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-016-4159-7

Full text available

9
Deep multimodal embedding for video captioning
Material Type:
Article
Add to My Research

Deep multimodal embedding for video captioning

Multimedia tools and applications, 2019-11, Vol.78 (22), p.31793-31805 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Multimedia Tools and Applications is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-019-08011-3

Full text available

10
A survey: object detection methods from CNN to transformer
Material Type:
Article
Add to My Research

A survey: object detection methods from CNN to transformer

Multimedia tools and applications, 2023-06, Vol.82 (14), p.21353-21383 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-13801-3

Digital Resources/Online E-Resources

11
A comprehensive survey on convolutional neural network in medical image analysis
Material Type:
Article
Add to My Research

A comprehensive survey on convolutional neural network in medical image analysis

Multimedia tools and applications, 2022-12, Vol.81 (29), p.41361-41405 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-020-09634-7

Full text available

12
Multilevel attention and relation network based image captioning model
Material Type:
Article
Add to My Research

Multilevel attention and relation network based image captioning model

Multimedia tools and applications, 2023-03, Vol.82 (7), p.10981-11003 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-13793-0

Full text available

13
A detailed review on word embedding techniques with emphasis on word2vec
Material Type:
Article
Add to My Research

A detailed review on word embedding techniques with emphasis on word2vec

Multimedia tools and applications, 2024-04, Vol.83 (13), p.37979-38007 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-17007-z

Digital Resources/Online E-Resources

14
Improved neural machine translation using Natural Language Processing (NLP)
Material Type:
Article
Add to My Research

Improved neural machine translation using Natural Language Processing (NLP)

Multimedia tools and applications, 2024-04, Vol.83 (13), p.39335-39348 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-17207-7

Digital Resources/Online E-Resources

15
Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis
Material Type:
Article
Add to My Research

Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis

Multimedia tools and applications, 2023-09, Vol.82 (21), p.32967-32990 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-14653-1 ;PMID: 37362742

Digital Resources/Online E-Resources

16
Sentiment classification with modified RoBERTa and recurrent neural networks
Material Type:
Article
Add to My Research

Sentiment classification with modified RoBERTa and recurrent neural networks

Multimedia tools and applications, 2024-03, Vol.83 (10), p.29399-29417 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-16833-5

Digital Resources/Online E-Resources

17
Combining semi-supervised model and optimized LSTM for image caption generation based on pseudo labels
Material Type:
Article
Add to My Research

Combining semi-supervised model and optimized LSTM for image caption generation based on pseudo labels

Multimedia tools and applications, 2024-03, Vol.83 (10), p.29997-30017 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-16687-x

Digital Resources/Online E-Resources

18
Systematic review of content analysis algorithms based on deep neural networks
Material Type:
Article
Add to My Research

Systematic review of content analysis algorithms based on deep neural networks

Multimedia tools and applications, 2023-05, Vol.82 (12), p.17879-17903 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-14043-z ;PMID: 36313481

Full text available

19
Apple ripeness identification from digital images using transformers
Material Type:
Article
Add to My Research

Apple ripeness identification from digital images using transformers

Multimedia tools and applications, 2024, Vol.83 (3), p.7811-7825 [Peer Reviewed Journal]

The Author(s) 2023 ;The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-15938-1

Digital Resources/Online E-Resources

20
Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions
Material Type:
Article
Add to My Research

Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions

Multimedia tools and applications, 2024, Vol.83 (2), p.5473-5492 [Peer Reviewed Journal]

The Author(s) 2023 ;The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-023-14896-y

Digital Resources/Online E-Resources

Results 1 - 20 of 77  for All Library Resources

Results 1 2 3 4 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Refine My Results

Creation Date 

From To
  1. Before 2017  (1)
  2. 2017 To 2017  (2)
  3. 2018 To 2018  (3)
  4. 2019 To 2020  (16)
  5. After 2020  (56)
  6. More options open sub menu

Searching Remote Databases, Please Wait