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Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT
Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT
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Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT

Sensors (Basel, Switzerland), 2023-10, Vol.23 (20), p.8427 [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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23208427 ;PMID: 37896522

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2
A Comprehensive Survey of Depth Completion Approaches
A Comprehensive Survey of Depth Completion Approaches
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A Comprehensive Survey of Depth Completion Approaches

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6969 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22186969 ;PMID: 36146318

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3
Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images
Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images
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Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images

Scientific reports, 2022-11, Vol.12 (1), p.19200-19200, Article 19200 [Peer Reviewed Journal]

2022. The Author(s). ;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. ;The Author(s) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-21848-3 ;PMID: 36357456

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4
Anomaly Detection in Natural Scene Images Based on Enhanced Fine-Grained Saliency and Fuzzy Logic
Anomaly Detection in Natural Scene Images Based on Enhanced Fine-Grained Saliency and Fuzzy Logic
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Anomaly Detection in Natural Scene Images Based on Enhanced Fine-Grained Saliency and Fuzzy Logic

IEEE access, 2021, Vol.9, p.129102-129109 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3103279 ;CODEN: IAECCG

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5
Optimizing the AI Development Process by Providing the Best Support Environment
Optimizing the AI Development Process by Providing the Best Support Environment
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Optimizing the AI Development Process by Providing the Best Support Environment

arXiv.org, 2023-08

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.00136

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6
Vehicle Detection Performance in Nordic Region
Vehicle Detection Performance in Nordic Region
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Vehicle Detection Performance in Nordic Region

arXiv.org, 2024-03

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.15017

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7
Study of AI-Driven Fashion Recommender Systems
Study of AI-Driven Fashion Recommender Systems
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Study of AI-Driven Fashion Recommender Systems

SN computer science, 2023-09, Vol.4 (5) [Peer Reviewed Journal]

The Author(s) 2023 ;ISSN: 2662-995X ;ISSN: 2661-8907 ;EISSN: 2661-8907 ;DOI: 10.1007/s42979-023-01932-9

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