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1
Fine-Tuning BERT-Based Pre-Trained Models for Arabic Dependency Parsing
Fine-Tuning BERT-Based Pre-Trained Models for Arabic Dependency Parsing
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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

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2
A Deep Fusion Matching Network Semantic Reasoning Model
A Deep Fusion Matching Network Semantic Reasoning Model
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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

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3
University Student Dropout Prediction Using Pretrained Language Models
University Student Dropout Prediction Using Pretrained Language Models
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University Student Dropout Prediction Using Pretrained Language Models

Applied sciences, 2023-06, Vol.13 (12), p.7073 [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/app13127073

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4
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
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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

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5
An Improved Nested Named-Entity Recognition Model for Subject Recognition Task under Knowledge Base Question Answering
An Improved Nested Named-Entity Recognition Model for Subject Recognition Task under Knowledge Base Question Answering
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An Improved Nested Named-Entity Recognition Model for Subject Recognition Task under Knowledge Base Question Answering

Applied sciences, 2023-10, Vol.13 (20), p.11249 [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/app132011249

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6
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
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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

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7
Integrating Text Classification into Topic Discovery Using Semantic Embedding Models
Integrating Text Classification into Topic Discovery Using Semantic Embedding Models
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Integrating Text Classification into Topic Discovery Using Semantic Embedding Models

Applied sciences, 2023-09, Vol.13 (17), p.9857 [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/app13179857

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8
ER-LAC: Span-Based Joint Entity and Relation Extraction Model with Multi-Level Lexical and Attention on Context Features
ER-LAC: Span-Based Joint Entity and Relation Extraction Model with Multi-Level Lexical and Attention on Context Features
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ER-LAC: Span-Based Joint Entity and Relation Extraction Model with Multi-Level Lexical and Attention on Context Features

Applied sciences, 2023-09, Vol.13 (18), p.10538 [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/app131810538

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9
Best Practices of Convolutional Neural Networks for Question Classification
Best Practices of Convolutional Neural Networks for Question Classification
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Best Practices of Convolutional Neural Networks for Question Classification

Applied sciences, 2020-07, Vol.10 (14), p.4710 [Peer Reviewed Journal]

COPYRIGHT 2020 MDPI AG ;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/app10144710

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10
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
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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

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11
Computational Linguistics with Deep-Learning-Based Intent Detection for Natural Language Understanding
Computational Linguistics with Deep-Learning-Based Intent Detection for Natural Language Understanding
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Computational Linguistics with Deep-Learning-Based Intent Detection for Natural Language Understanding

Applied sciences, 2022-09, Vol.12 (17), p.8633 [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/app12178633

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12
TwIdw—A Novel Method for Feature Extraction from Unstructured Texts
TwIdw—A Novel Method for Feature Extraction from Unstructured Texts
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TwIdw—A Novel Method for Feature Extraction from Unstructured Texts

Applied sciences, 2023-05, Vol.13 (11), p.6438 [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/app13116438

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13
Bi-LS-AttM: A Bidirectional LSTM and Attention Mechanism Model for Improving Image Captioning
Bi-LS-AttM: A Bidirectional LSTM and Attention Mechanism Model for Improving Image Captioning
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Bi-LS-AttM: A Bidirectional LSTM and Attention Mechanism Model for Improving Image Captioning

Applied sciences, 2023-07, Vol.13 (13), p.7916 [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/app13137916

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14
A Sequential and Intensive Weighted Language Modeling Scheme for Multi-Task Learning-Based Natural Language Understanding
A Sequential and Intensive Weighted Language Modeling Scheme for Multi-Task Learning-Based Natural Language Understanding
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A Sequential and Intensive Weighted Language Modeling Scheme for Multi-Task Learning-Based Natural Language Understanding

Applied sciences, 2021-04, Vol.11 (7), p.3095 [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/app11073095

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15
Attention-Based Two-Branch Hybrid Fusion Network for Medical Image Segmentation
Attention-Based Two-Branch Hybrid Fusion Network for Medical Image Segmentation
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Attention-Based Two-Branch Hybrid Fusion Network for Medical Image Segmentation

Applied sciences, 2024-05, Vol.14 (10), p.4073 [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/app14104073

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16
Review of Artificial Intelligence Adversarial Attack and Defense Technologies
Review of Artificial Intelligence Adversarial Attack and Defense Technologies
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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

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17
A Survey of Sentiment Analysis: Approaches, Datasets, and Future Research
A Survey of Sentiment Analysis: Approaches, Datasets, and Future Research
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A Survey of Sentiment Analysis: Approaches, Datasets, and Future Research

Applied sciences, 2023-04, Vol.13 (7), p.4550 [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/app13074550

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18
PPA-SAM: Plug-and-Play Adversarial Segment Anything Model for 3D Tooth Segmentation
PPA-SAM: Plug-and-Play Adversarial Segment Anything Model for 3D Tooth Segmentation
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PPA-SAM: Plug-and-Play Adversarial Segment Anything Model for 3D Tooth Segmentation

Applied sciences, 2024-04, Vol.14 (8), p.3259 [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/app14083259

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19
Text Triplet Extraction Algorithm with Fused Graph Neural Networks and Improved Biaffine Attention Mechanism
Text Triplet Extraction Algorithm with Fused Graph Neural Networks and Improved Biaffine Attention Mechanism
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Text Triplet Extraction Algorithm with Fused Graph Neural Networks and Improved Biaffine Attention Mechanism

Applied sciences, 2024-04, Vol.14 (8), p.3524 [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/app14083524

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20
Korean Sign Language Recognition Using Transformer-Based Deep Neural Network
Korean Sign Language Recognition Using Transformer-Based Deep Neural Network
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Korean Sign Language Recognition Using Transformer-Based Deep Neural Network

Applied sciences, 2023-03, Vol.13 (5), p.3029 [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/app13053029

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