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 375  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page
Refined by: Journal Title: Applied Sciences remove subject: Neural Networks remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
A Deep Fusion Matching Network Semantic Reasoning Model
A Deep Fusion Matching Network Semantic Reasoning Model
Material Type:
Article 		Add to My Research

A Deep Fusion Matching Network Semantic Reasoning Model

Applied sciences, 2022-04, Vol.12 (7), p.3416 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app12073416

Full text available

Citations Cited by
2
Review of Artificial Intelligence Adversarial Attack and Defense Technologies
Review of Artificial Intelligence Adversarial Attack and Defense Technologies
Material Type:
Article 		Add to My Research

Review of Artificial Intelligence Adversarial Attack and Defense Technologies

Applied sciences, , Vol.9 (5), p.909 [Peer Reviewed Journal]

2019. This work is licensed under https://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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9050909

Full text available

Citations Cited by
3
Optimizing Chatbot Effectiveness through Advanced Syntactic Analysis: A Comprehensive Study in Natural Language Processing
Optimizing Chatbot Effectiveness through Advanced Syntactic Analysis: A Comprehensive Study in Natural Language Processing
Material Type:
Article 		Add to My Research

Optimizing Chatbot Effectiveness through Advanced Syntactic Analysis: A Comprehensive Study in Natural Language Processing

Applied sciences, 2024-03, Vol.14 (5), p.1737 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app14051737

Full text available

Citations Cited by
4
Sentence Representation Method Based on Multi-Layer Semantic Network
Sentence Representation Method Based on Multi-Layer Semantic Network
Material Type:
Article 		Add to My Research

Sentence Representation Method Based on Multi-Layer Semantic Network

Applied sciences, 2021-02, Vol.11 (3), p.1316 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11031316

Full text available

Citations Cited by
5
A Survey on Bias in Deep NLP
A Survey on Bias in Deep NLP
Material Type:
Article 		Add to My Research

A Survey on Bias in Deep NLP

Applied sciences, 2021-04, Vol.11 (7), p.3184 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11073184

Full text available

Citations Cited by
6
Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review
Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review
Material Type:
Article 		Add to My Research

Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review

Applied sciences, 2020-03, Vol.10 (6), p.2021 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10062021

Full text available

Citations Cited by
7
Advancing OCR Accuracy in Image-to-LaTeX Conversion—A Critical and Creative Exploration
Advancing OCR Accuracy in Image-to-LaTeX Conversion—A Critical and Creative Exploration
Material Type:
Article 		Add to My Research

Advancing OCR Accuracy in Image-to-LaTeX Conversion—A Critical and Creative Exploration

Applied sciences, 2023-11, Vol.13 (22), p.12503 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app132212503

Full text available

Citations Cited by
8
Fine-Tuning BERT-Based Pre-Trained Models for Arabic Dependency Parsing
Fine-Tuning BERT-Based Pre-Trained Models for Arabic Dependency Parsing
Material Type:
Article 		Add to My Research

Fine-Tuning BERT-Based Pre-Trained Models for Arabic Dependency Parsing

Applied sciences, 2023-04, Vol.13 (7), p.4225 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app13074225

Full text available

Citations Cited by
9
Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism
Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism
Material Type:
Article 		Add to My Research

Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism

Applied sciences, 2020-09, Vol.10 (17), p.5841 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10175841

Full text available

Citations Cited by
10
Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19
Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19
Material Type:
Article 		Add to My Research

Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19

Applied sciences, 2021-09, Vol.11 (18), p.8438 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app11188438

Full text available

Citations Cited by
11
Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network
Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network
Material Type:
Article 		Add to My Research

Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network

Applied sciences, 2023-02, Vol.13 (3), p.1445 [Peer Reviewed Journal]

2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app13031445

Full text available

Citations Cited by
12
A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets
A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets
Material Type:
Article 		Add to My Research

A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets

Applied sciences, 2020-11, Vol.10 (21), p.7640 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10217640

Full text available

Citations Cited by
13
Multi-Robot Path Planning Method Using Reinforcement Learning
Multi-Robot Path Planning Method Using Reinforcement Learning
Material Type:
Article 		Add to My Research

Multi-Robot Path Planning Method Using Reinforcement Learning

Applied sciences, 2019-08, Vol.9 (15), p.3057 [Peer Reviewed Journal]

2019. This work is licensed under https://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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9153057

Full text available

Citations Cited by
14
Solving Partial Differential Equations Using Deep Learning and Physical Constraints
Solving Partial Differential Equations Using Deep Learning and Physical Constraints
Material Type:
Article 		Add to My Research

Solving Partial Differential Equations Using Deep Learning and Physical Constraints

Applied sciences, 2020-09, Vol.10 (17), p.5917 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10175917

Full text available

Citations Cited by
15
Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review
Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review
Material Type:
Article 		Add to My Research

Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review

Applied sciences, 2023-04, Vol.13 (9), p.5521 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app13095521

Full text available

Citations Cited by
16
A Review of Text Corpus-Based Tourism Big Data Mining
A Review of Text Corpus-Based Tourism Big Data Mining
Material Type:
Article 		Add to My Research

A Review of Text Corpus-Based Tourism Big Data Mining

Applied sciences, 2019-08, Vol.9 (16), p.3300 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9163300

Full text available

Citations Cited by
17
Applying a Character-Level Model to a Short Arabic Dialect Sentence: A Saudi Dialect as a Case Study
Applying a Character-Level Model to a Short Arabic Dialect Sentence: A Saudi Dialect as a Case Study
Material Type:
Article 		Add to My Research

Applying a Character-Level Model to a Short Arabic Dialect Sentence: A Saudi Dialect as a Case Study

Applied sciences, 2022-12, Vol.12 (23), p.12435 [Peer Reviewed Journal]

2022 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2076-3417 ;DOI: 10.3390/app122312435

Full text available

Citations Cited by
18
Aggression Detection in Social Media from Textual Data Using Deep Learning Models
Aggression Detection in Social Media from Textual Data Using Deep Learning Models
Material Type:
Article 		Add to My Research

Aggression Detection in Social Media from Textual Data Using Deep Learning Models

Applied sciences, 2022-05, Vol.12 (10), p.5083 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app12105083

Full text available

Citations Cited by
19
Comparison of Deep Learning Models and Various Text Pre-Processing Techniques for the Toxic Comments Classification
Comparison of Deep Learning Models and Various Text Pre-Processing Techniques for the Toxic Comments Classification
Material Type:
Article 		Add to My Research

Comparison of Deep Learning Models and Various Text Pre-Processing Techniques for the Toxic Comments Classification

Applied sciences, 2020-12, Vol.10 (23), p.8631 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10238631

Full text available

Citations Cited by
20
Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media
Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media
Material Type:
Article 		Add to My Research

Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media

Applied sciences, 2022-03, Vol.12 (5), p.2694 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app12052694

Full text available

Citations Cited by

Results 1 - 20 of 375  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait